Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

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Show results for 693.932 people that are selected by your search filters.

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Naji, M.
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Martel, Anne

  • Google
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Institut Laue-Langevin

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2022Mg2+-dependent conformational equilibria in CorA and an integrated view on transport regulation21citations
  • 2022Mg2+-dependent conformational equilibria in CorA and an integrated view on transport regulation21citations
  • 2022Small-angle x-ray and neutron scattering of MexR and its complex with DNA supports a conformational selection binding model.4citations
  • 2022A round-robin approach provides a detailed assessment of biomolecular small-angle scattering data reproducibility and yields consensus curves for benchmarking23citations
  • 2022A round-robin approach provides a detailed assessment of biomolecular small-angle scattering data reproducibility and yields consensus curves for benchmarking23citations
  • 2021Interpenetrated biosurfactant-silk fibroin networks – a SANS study16citations
  • 2021Pepsi-SAXS/SANS -small-angle scattering-guided tools for integrative structural bioinformatics3citations
  • 2021Mg2+-dependent conformational equilibria in CorA: an integrated view on transport regulationcitations
  • 2020Hemicellulose binding and the spacing of cellulose microfibrils in spruce wood39citations
  • 2017Fast Collisional Lipid Transfer Among Polymer-Bounded Nanodiscs.84citations
  • 2016Dimeric peptides with three different linkers self-assemble with phospholipids to form peptide nanodiscs that stabilize membrane proteins38citations
  • 2015Large-Scale Conformational Dynamics Control H5N1 Influenza Polymerase PB2 Binding to Importin α.53citations

Places of action

Chart of shared publication
Rapp, Mikaela
3 / 3 shared
Berndtsson, Jens
3 / 3 shared
Huda, Pie
3 / 3 shared
Bengtsen, Tone
3 / 3 shared
Darwish, Tamim
3 / 3 shared
Crehuet, Ramon
2 / 2 shared
Lindorff-Larsen, Kresten
3 / 3 shared
Tidemand Johansen, Nicolai
2 / 4 shared
Arleth, Lise
4 / 15 shared
Bertarello, Andrea
3 / 4 shared
Sansom, Mark
3 / 3 shared
Larsen, Andreas Haahr
4 / 8 shared
Pedersen, Martin Cramer
3 / 7 shared
Yepuri, Nageshewar Rao
2 / 2 shared
Bonaccorsi, Marta
3 / 3 shared
Günther-Pomorski, Thomas
1 / 3 shared
Tidemand, Frederik
1 / 2 shared
Pintacuda, Guido
3 / 8 shared
Schubeis, Tobias
3 / 3 shared
Pomorski, Thomas Günther
2 / 2 shared
Crehuet, Ramón
1 / 1 shared
Johansen, Nicolai Tidemand
2 / 2 shared
Tidemand, Frederik Grønbæk
2 / 2 shared
Caporaletti, F.
1 / 3 shared
Gabel, F.
1 / 2 shared
Sunnerhagen, M.
1 / 1 shared
Wallner, B.
1 / 1 shared
Morad, V.
1 / 1 shared
Lg, Mårtensson
1 / 1 shared
Pietras, Z.
1 / 1 shared
Porcar, Lionel
4 / 29 shared
Lassenberger, Andrea
1 / 2 shared
Baccile, Niki
1 / 14 shared
Grudinin, Sergei
1 / 1 shared
Prevost, Sylvain
1 / 5 shared
Yepuri, Nageshwar Rao
1 / 1 shared
Jarvis, Michael C.
1 / 1 shared
Grillo, Isabelle
1 / 26 shared
Thomas, Lynne H.
1 / 1 shared
Keller, Sandro
1 / 3 shared
Cuevas Arenas, Rodrigo
1 / 1 shared
Breyton, Cécile
1 / 3 shared
Danielczak, Bartholomäus
1 / 1 shared
Ebel, Christine
1 / 3 shared
Kirkensgaard, Jacob, J. K.
1 / 11 shared
Sørensen, Kasper Kildegaard
1 / 1 shared
Midtgaard, Søren Roi
1 / 2 shared
Jensen, Knud
1 / 4 shared
Round, A.
1 / 1 shared
Salvi, Nicola
1 / 1 shared
Blackledge, M.
1 / 2 shared
Maurin, D.
1 / 1 shared
Milles, Sigrid
1 / 2 shared
Delaforge, Elise
1 / 1 shared
Boivin, Stephane
1 / 1 shared
Jensen, Malene R.
1 / 1 shared
Lemke, Edward
1 / 1 shared
Bouvier, D.
1 / 1 shared
Hart, Darren
1 / 1 shared
Chart of publication period
2022
2021
2020
2017
2016
2015

Co-Authors (by relevance)

  • Rapp, Mikaela
  • Berndtsson, Jens
  • Huda, Pie
  • Bengtsen, Tone
  • Darwish, Tamim
  • Crehuet, Ramon
  • Lindorff-Larsen, Kresten
  • Tidemand Johansen, Nicolai
  • Arleth, Lise
  • Bertarello, Andrea
  • Sansom, Mark
  • Larsen, Andreas Haahr
  • Pedersen, Martin Cramer
  • Yepuri, Nageshewar Rao
  • Bonaccorsi, Marta
  • Günther-Pomorski, Thomas
  • Tidemand, Frederik
  • Pintacuda, Guido
  • Schubeis, Tobias
  • Pomorski, Thomas Günther
  • Crehuet, Ramón
  • Johansen, Nicolai Tidemand
  • Tidemand, Frederik Grønbæk
  • Caporaletti, F.
  • Gabel, F.
  • Sunnerhagen, M.
  • Wallner, B.
  • Morad, V.
  • Lg, Mårtensson
  • Pietras, Z.
  • Porcar, Lionel
  • Lassenberger, Andrea
  • Baccile, Niki
  • Grudinin, Sergei
  • Prevost, Sylvain
  • Yepuri, Nageshwar Rao
  • Jarvis, Michael C.
  • Grillo, Isabelle
  • Thomas, Lynne H.
  • Keller, Sandro
  • Cuevas Arenas, Rodrigo
  • Breyton, Cécile
  • Danielczak, Bartholomäus
  • Ebel, Christine
  • Kirkensgaard, Jacob, J. K.
  • Sørensen, Kasper Kildegaard
  • Midtgaard, Søren Roi
  • Jensen, Knud
  • Round, A.
  • Salvi, Nicola
  • Blackledge, M.
  • Maurin, D.
  • Milles, Sigrid
  • Delaforge, Elise
  • Boivin, Stephane
  • Jensen, Malene R.
  • Lemke, Edward
  • Bouvier, D.
  • Hart, Darren
OrganizationsLocationPeople

article

A round-robin approach provides a detailed assessment of biomolecular small-angle scattering data reproducibility and yields consensus curves for benchmarking

  • Ryan, Timothy M.
  • Teixeira, Susana
  • Zuo, Xiaobing
  • Cleveland, Thomas E.
  • Svergun, Dmitri
  • Porcar, Lionel
  • Chatzimagas, Leonie
  • Rocco, Mattia
  • Gabel, Frank
  • Jeong, Cheol
  • Krueger, Susan
  • Kirby, Nigel
  • Weiss, Thomas M.
  • Whitten, Andrew
  • Wood, Kathleen
  • Vachette, Patrice
  • Hura, Greg L.
  • Hopkins, Jesse B.
  • Cowieson, Nathan
  • Li, Na
  • Huang, Qingqui
  • Blanchet, Clement
  • Graewert, Melissa
  • Brookes, Emre
  • Bierma, Jan
  • Hub, Jochen
  • Gillilan, Richard
  • Grishaev, Alexander
  • Thureau, Aurelien
  • Hammel, Michal
  • Pérez, Javier
  • Prangé, Thierry
  • Franke, Daniel
  • Seifert, Soenke
  • Chakravarthy, Srinivas
  • Martel, Anne
Abstract

<jats:p>Through an expansive international effort that involved data collection on 12 small-angle X-ray scattering (SAXS) and four small-angle neutron scattering (SANS) instruments, 171 SAXS and 76 SANS measurements for five proteins (ribonuclease A, lysozyme, xylanase, urate oxidase and xylose isomerase) were acquired. From these data, the solvent-subtracted protein scattering profiles were shown to be reproducible, with the caveat that an additive constant adjustment was required to account for small errors in solvent subtraction. Further, the major features of the obtained consensus SAXS data over the <jats:italic>q</jats:italic> measurement range 0–1 Å<jats:sup>−1</jats:sup> are consistent with theoretical prediction. The inherently lower statistical precision for SANS limited the reliably measured <jats:italic>q</jats:italic>-range to &lt;0.5 Å<jats:sup>−1</jats:sup>, but within the limits of experimental uncertainties the major features of the consensus SANS data were also consistent with prediction for all five proteins measured in H<jats:sub>2</jats:sub>O and in D<jats:sub>2</jats:sub>O. Thus, a foundation set of consensus SAS profiles has been obtained for benchmarking scattering-profile prediction from atomic coordinates. Additionally, two sets of SAXS data measured at different facilities to <jats:italic>q</jats:italic> &gt; 2.2 Å<jats:sup>−1</jats:sup> showed good mutual agreement, affirming that this region has interpretable features for structural modelling. SAS measurements with inline size-exclusion chromatography (SEC) proved to be generally superior for eliminating sample heterogeneity, but with unavoidable sample dilution during column elution, while batch SAS data collected at higher concentrations and for longer times provided superior statistical precision. Careful merging of data measured using inline SEC and batch modes, or low- and high-concentration data from batch measurements, was successful in eliminating small amounts of aggregate or interparticle interference from the scattering while providing improved statistical precision overall for the benchmarking data set.</jats:p>

Topics
  • size-exclusion chromatography
  • small-angle neutron scattering
  • small angle x-ray scattering
  • elution