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

Garg, Ajay

  • Google
  • 1
  • 10
  • 4

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Carotid Intima-Media Thickness (cIMT) and Cognitive Performance4citations

Places of action

Chart of shared publication
Dwivedi, Sada Nand
1 / 1 shared
Kant, Shashi
1 / 3 shared
Prasad, Kameshwar
1 / 3 shared
Karthikeyan, Ganesan
1 / 3 shared
Verma, Vivek
1 / 3 shared
Kumar, Amit
1 / 39 shared
Srivastava, Achal Kumar
1 / 1 shared
Pandit, Awadh Kishor
1 / 1 shared
Ikram, Arfan
1 / 1 shared
Tiemeier, Henning
1 / 3 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Dwivedi, Sada Nand
  • Kant, Shashi
  • Prasad, Kameshwar
  • Karthikeyan, Ganesan
  • Verma, Vivek
  • Kumar, Amit
  • Srivastava, Achal Kumar
  • Pandit, Awadh Kishor
  • Ikram, Arfan
  • Tiemeier, Henning
OrganizationsLocationPeople

article

Carotid Intima-Media Thickness (cIMT) and Cognitive Performance

  • Dwivedi, Sada Nand
  • Kant, Shashi
  • Prasad, Kameshwar
  • Karthikeyan, Ganesan
  • Verma, Vivek
  • Kumar, Amit
  • Garg, Ajay
  • Srivastava, Achal Kumar
  • Pandit, Awadh Kishor
  • Ikram, Arfan
  • Tiemeier, Henning
Abstract

<jats:sec><jats:title>Introduction:</jats:title><jats:p>Atherosclerosis has been shown to impact cognitive impairment, with most of the evidence originating from European, African, or East Asian populations that have employed carotid intima-media thickness (cIMT) as a biomarker for atherosclerosis. Vascular disease is related to dementia/cognitive decline. There is no community-based study from India that has looked at the association of cIMT with cognitive performance.</jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p>In this cross-sectional study between December 2014 and 2019, we recruited 7505 persons [(mean age 64.6 (9.2) y) and 50.9% women] from a community-dwelling population in New Delhi. These persons underwent carotid ultrasound to quantify cIMT and a cognitive test battery that tapped into memory, processing speed, and executive function. We also computed the general cognitive factor (g-factor), which was identified as the first unrotated component of the principal component analysis and explained 37.4% of all variances in the cognitive tests. We constructed multivariate linear regression models adjusted for age, sex, education, and cardiovascular risk factors. Additional adjustment was made for depression, anxiety, and psychosocial support in the final model.</jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p>We found a significant association of higher cIMT with worse performance in general cognition (β=−0. 01(95% CI: −0.01; −0.01); <jats:italic toggle="yes">P</jats:italic>&lt;0.001), processing speed (β=−0.20; 95% CI: −0.34; −0.07); <jats:italic toggle="yes">P</jats:italic>=0.003), memory (β=−0.29; 95% CI: −0.53; −0.05); <jats:italic toggle="yes">P</jats:italic>=0.016), and executive function (β=−0.54; 95% CI: −0.75; −0.33); <jats:italic toggle="yes">P</jats:italic>=&lt;0.001). There was no statistically significant association of cIMT with Mini-Mental Status Examination score (β=0.02; 95% CI: −0.34; 0.40; 0.89).</jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p>The cross-sectional study found significant associations of increased cIMT with worse performance in global cognition, information processing, memory, and executive function.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • size-exclusion chromatography
  • chemical ionisation