Dick E. de Vries

8 total papers · 405 total citations
7 papers, 317 citations indexed

About

Dick E. de Vries is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Dick E. de Vries has authored 7 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Rheumatology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Immunology. Recurrent topics in Dick E. de Vries's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Systemic Lupus Erythematosus Research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Dick E. de Vries is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Systemic Lupus Erythematosus Research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Dick E. de Vries collaborates with scholars based in United States, Netherlands and Belgium. Dick E. de Vries's co-authors include Zhenhua Xu, Hugh M. Davis, Honghui Zhou, Yanli Zhuang, Filippa Nyberg, Anna Woźniacka, Adam Reich, Jacek C. Szepietowski, Annegret Kuhn and Francisco León and has published in prestigious journals such as Journal of Investigative Dermatology, Clinical Therapeutics and The Journal of Clinical Pharmacology.

In The Last Decade

Dick E. de Vries

7 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Dick E. de Vries 176 157 101 50 45 7 317
Cathrin Nikolaisen 240 1.4× 133 0.8× 69 0.7× 36 0.7× 50 1.1× 9 331
Richard B. Lies 195 1.1× 234 1.5× 112 1.1× 13 0.3× 46 1.0× 7 362
R G Lahita 200 1.1× 153 1.0× 40 0.4× 29 0.6× 36 0.8× 8 357
Salima Challal 159 0.9× 81 0.5× 29 0.3× 35 0.7× 50 1.1× 8 297
Jasmina Trifunovic Cvetkovic 181 1.0× 123 0.8× 25 0.2× 28 0.6× 46 1.0× 7 337
Krista Bean 215 1.2× 162 1.0× 57 0.6× 30 0.6× 14 0.3× 8 278
Lu Pan 198 1.1× 189 1.2× 27 0.3× 38 0.8× 14 0.3× 9 307
Aysche Landmann 288 1.6× 167 1.1× 87 0.9× 29 0.6× 12 0.3× 10 359
Émeline Minichiello 179 1.0× 56 0.4× 21 0.2× 29 0.6× 46 1.0× 9 299
Nancy Carteron 91 0.5× 161 1.0× 78 0.8× 32 0.6× 11 0.2× 10 357

Countries citing papers authored by Dick E. de Vries

Since Specialization
Citations

This map shows the geographic impact of Dick E. 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 Dick E. 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 Dick E. de Vries more than expected).

Fields of papers citing papers by Dick E. de Vries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dick E. 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 Dick E. de Vries. The network helps show where Dick E. de Vries may publish in the future.

Co-authorship network of co-authors of Dick E. de Vries

This figure shows the co-authorship network connecting the top 25 collaborators of Dick E. de Vries. A scholar is included among the top collaborators of Dick E. 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 Dick E. de Vries. Dick E. 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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