T. J. de Vries

25 total papers · 1.1k total citations
20 papers, 966 citations indexed

About

T. J. de Vries is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, T. J. de Vries has authored 20 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cell Biology and 9 papers in Immunology and Allergy. Recurrent topics in T. J. de Vries's work include Cell Adhesion Molecules Research (9 papers), Protease and Inhibitor Mechanisms (8 papers) and melanin and skin pigmentation (8 papers). T. J. de Vries is often cited by papers focused on Cell Adhesion Molecules Research (9 papers), Protease and Inhibitor Mechanisms (8 papers) and melanin and skin pigmentation (8 papers). T. J. de Vries collaborates with scholars based in Netherlands, United States and Denmark. T. J. de Vries's co-authors include D. J. Ruiter, Goos N.P. van Muijen, G N van Muijen, Th. Wobbes, Ulrich H. Weidle, Dirk J. Ruiter, Jan H. Verheijen, Hein W. Verspaget, Paul H.A. Quax and Erik H.J. Danen and has published in prestigious journals such as British Journal of Cancer, The Journal of Pathology and Melanoma Research.

In The Last Decade

T. J. de Vries

20 papers receiving 939 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T. J. de Vries 480 407 379 277 189 20 966
Dirk Wienke 566 1.2× 235 0.6× 300 0.8× 270 1.0× 249 1.3× 25 1.2k
Silke Aigner 468 1.0× 285 0.7× 427 1.1× 154 0.6× 313 1.7× 18 1.1k
Maya Zigler 564 1.2× 273 0.7× 299 0.8× 184 0.7× 109 0.6× 23 956
Chrystelle Lamagna 434 0.9× 600 1.5× 266 0.7× 163 0.6× 217 1.1× 18 1.2k
G N van Muijen 472 1.0× 206 0.5× 263 0.7× 267 1.0× 165 0.9× 13 928
Yoshinori Suminami 523 1.1× 339 0.8× 339 0.9× 332 1.2× 162 0.9× 41 1.2k
Kabir A. Khan 544 1.1× 320 0.8× 484 1.3× 214 0.8× 163 0.9× 21 1.2k
Vandana Iyer 443 0.9× 229 0.6× 274 0.7× 255 0.9× 251 1.3× 14 857
Camilla Fröhlich 466 1.0× 175 0.4× 476 1.3× 194 0.7× 282 1.5× 22 1.1k
G W Krissansen 474 1.0× 404 1.0× 202 0.5× 193 0.7× 231 1.2× 28 1.1k

Countries citing papers authored by T. J. de Vries

Since Specialization
Citations

This map shows the geographic impact of T. J. de Vries's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by T. J. de Vries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. de Vries more than expected).

Fields of papers citing papers by T. J. de Vries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. J. de Vries. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by T. J. de Vries. The network helps show where T. J. de Vries may publish in the future.

Co-authorship network of co-authors of T. J. de Vries

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. de Vries. A scholar is included among the top collaborators of T. J. de Vries based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. J. de Vries. T. J. de Vries is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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