Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

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

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Tzschätzsch, H.

  • Google
  • 8
  • 46
  • 161

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2024On the relationship between viscoelasticity and water diffusion in soft biological tissues.3citations
  • 2022Mechanical behavior of the hippocampus and corpus callosum: An attempt to reconcile ex vivo with in vivo and micro with macro properties.18citations
  • 2021Real-Time Multifrequency MR Elastography of the Human Brain Reveals Rapid Changes in Viscoelasticity in Response to the Valsalva Maneuver.19citations
  • 2020Cardiac-gated steady-state multifrequency magnetic resonance elastography of the brain: Effect of cerebral arterial pulsation on brain viscoelasticity.25citations
  • 2019Sensitivity of multifrequency magnetic resonance elastography and diffusion-weighted imaging to cellular and stromal integrity of liver tissue.12citations
  • 2014High-resolution mechanical imaging of the kidney.27citations
  • 2014In vivo time-harmonic multifrequency elastography of the human liver.39citations
  • 2013Isovolumetric elasticity alteration in the human heart detected by in vivo time-harmonic elastography.18citations

Places of action

Chart of shared publication
Safraou, Y.
1 / 1 shared
Pagel, K.
1 / 6 shared
Rg, Wells
1 / 1 shared
Braun, J.
3 / 35 shared
Pa, Dantas De Moraes
1 / 1 shared
Sack, I.
8 / 23 shared
Zappe, A.
1 / 1 shared
Im, Sauer
1 / 3 shared
Kh, Hillebrandt
1 / 2 shared
Meyer, Tom
1 / 1 shared
Guo, J.
4 / 22 shared
Bernarding, J.
1 / 2 shared
Snellings, J.
1 / 1 shared
Budday, S.
1 / 5 shared
Herthum, H.
2 / 2 shared
Shahryari, M.
2 / 2 shared
Bertalan, G.
2 / 2 shared
Morr, A.
1 / 1 shared
Franze, K.
1 / 1 shared
Rd, Greenhalgh
1 / 1 shared
Schröder, L.
1 / 1 shared
Alzheimer, C.
1 / 1 shared
Becker, J.
1 / 9 shared
Braun, Jürgen
5 / 26 shared
Schrank, F.
3 / 4 shared
Görner, S.
1 / 1 shared
Warmuth, Carsten
2 / 2 shared
Hetzer, S.
1 / 1 shared
Neubauer, H.
1 / 1 shared
Pfeuffer, J.
1 / 1 shared
Hirsch, S.
2 / 6 shared
Kreft, B.
1 / 1 shared
Elgeti, T.
1 / 1 shared
Aa, De Schellenberger
1 / 1 shared
Polchlopek, B.
1 / 1 shared
Garczynska, K.
1 / 1 shared
Pa, Janmey
1 / 1 shared
Kj, Streitberger
2 / 2 shared
Fischer, T.
2 / 16 shared
Schultz, M.
2 / 4 shared
Ipek-Ugay, S.
1 / 2 shared
Gentz, E.
1 / 1 shared
Klaua, R.
2 / 2 shared
Hättasch, R.
1 / 1 shared
Knebel, F.
1 / 1 shared
Kv, Jenderka
1 / 1 shared
Chart of publication period
2024
2022
2021
2020
2019
2014
2013

Co-Authors (by relevance)

  • Safraou, Y.
  • Pagel, K.
  • Rg, Wells
  • Braun, J.
  • Pa, Dantas De Moraes
  • Sack, I.
  • Zappe, A.
  • Im, Sauer
  • Kh, Hillebrandt
  • Meyer, Tom
  • Guo, J.
  • Bernarding, J.
  • Snellings, J.
  • Budday, S.
  • Herthum, H.
  • Shahryari, M.
  • Bertalan, G.
  • Morr, A.
  • Franze, K.
  • Rd, Greenhalgh
  • Schröder, L.
  • Alzheimer, C.
  • Becker, J.
  • Braun, Jürgen
  • Schrank, F.
  • Görner, S.
  • Warmuth, Carsten
  • Hetzer, S.
  • Neubauer, H.
  • Pfeuffer, J.
  • Hirsch, S.
  • Kreft, B.
  • Elgeti, T.
  • Aa, De Schellenberger
  • Polchlopek, B.
  • Garczynska, K.
  • Pa, Janmey
  • Kj, Streitberger
  • Fischer, T.
  • Schultz, M.
  • Ipek-Ugay, S.
  • Gentz, E.
  • Klaua, R.
  • Hättasch, R.
  • Knebel, F.
  • Kv, Jenderka
OrganizationsLocationPeople

article

On the relationship between viscoelasticity and water diffusion in soft biological tissues.

  • Safraou, Y.
  • Pagel, K.
  • Rg, Wells
  • Braun, J.
  • Pa, Dantas De Moraes
  • Sack, I.
  • Zappe, A.
  • Tzschätzsch, H.
  • Im, Sauer
  • Kh, Hillebrandt
  • Meyer, Tom
  • Guo, J.
  • Bernarding, J.
  • Snellings, J.
Abstract

Magnetic resonance elastography (MRE) and diffusion-weighted imaging (DWI) are complementary imaging techniques that detect disease based on viscoelasticity and water mobility, respectively. However, the relationship between viscoelasticity and water diffusion is still poorly understood, hindering the clinical translation of combined DWI-MRE markers. We used DWI-MRE to study 129 biomaterial samples including native and cross-linked collagen, glycosaminoglycans (GAGs) with different sulfation levels, and decellularized specimens of pancreas and liver, all with different proportions of solid tissue, or solid fractions. We developed a theoretical framework of the relationship between mechanical loss and tissue-water mobility based on two parameters, solid and fluid viscosity. These parameters revealed distinct DWI-MRE property clusters characterizing weak, moderate, and strong water-network interactions. Sparse networks interacting weakly with water, such as collagen or diluted decellularized tissue, resulted in marginal changes in water diffusion over increasing solid viscosity. In contrast, dense networks with larger solid fractions exhibited both free and hindered water diffusion depending on the polarity of the solid components. For example, polar and highly sulfated GAGs as well as native soft tissues hindered water diffusion despite relatively low solid viscosity. Our results suggest that two fundamental properties of tissue networks, solid fraction and network polarity, critically influence solid and fluid viscosity in biological tissues. Since clinical DWI and MRE are sensitive to these viscosity parameters, the framework we present here can be used to detect tissue remodeling and architectural changes in the setting of diagnostic imaging. STATEMENT OF SIGNIFICANCE: The viscoelastic properties of biological tissues provide a wealth of information on the vital state of cells and host matrix. Combined measurement of viscoelasticity and water diffusion by medical imaging is sensitive to tissue microarchitecture. However, the relationship between viscoelasticity and water diffusion is still poorly understood, hindering full exploitation of these properties as a combined clinical biomarker. Therefore, we analyzed the parameter space accessible by diffusion-weighted imaging (DWI) and magnetic resonance elastography (MRE) and developed a theoretical framework for the relationship between water mobility and mechanical parameters in biomaterials. Our theory of solid material properties related to particle motion can be translated to clinical radiology using clinically established MRE and DWI.

Topics
  • impedance spectroscopy
  • cluster
  • mobility
  • theory
  • viscosity
  • viscoelasticity
  • biomaterials