Judith M. Versluis

127 total papers · 2.0k total citations
43 papers, 402 citations indexed

About

Judith M. Versluis is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Judith M. Versluis has authored 43 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Oncology, 20 papers in Molecular Biology and 14 papers in Immunology. Recurrent topics in Judith M. Versluis's work include Cancer Immunotherapy and Biomarkers (31 papers), CAR-T cell therapy research (18 papers) and Cutaneous Melanoma Detection and Management (17 papers). Judith M. Versluis is often cited by papers focused on Cancer Immunotherapy and Biomarkers (31 papers), CAR-T cell therapy research (18 papers) and Cutaneous Melanoma Detection and Management (17 papers). Judith M. Versluis collaborates with scholars based in Netherlands, Australia and United States. Judith M. Versluis's co-authors include Christian U. Blank, Georgina V. Long, Elisa A. Rozeman, Irene L. M. Reijers, Alexander M. Menzies, Daniela S. Thommen, Bart A. van de Wiel, Petros Dimitriadis, Karolina Sikorska and Andrew J. Spillane and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Judith M. Versluis

41 papers receiving 402 citations

Author Peers

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

Author Last Decade Papers Cites
Judith M. Versluis 333 156 101 68 68 43 402
Li Chen 298 0.9× 122 0.8× 58 0.6× 44 0.6× 106 1.6× 32 397
Debbie Robbrecht 185 0.6× 129 0.8× 114 1.1× 57 0.8× 46 0.7× 49 357
De Sen Wan 247 0.7× 148 0.9× 118 1.2× 65 1.0× 85 1.3× 35 415
Guo‐He Lin 265 0.8× 103 0.7× 118 1.2× 107 1.6× 74 1.1× 37 423
Yusaku Watanabe 231 0.7× 139 0.9× 113 1.1× 49 0.7× 44 0.6× 37 358
Feng Wen 280 0.8× 87 0.6× 97 1.0× 51 0.8× 89 1.3× 42 436
Teppei Yamada 238 0.7× 164 1.1× 80 0.8× 38 0.6× 51 0.8× 28 362
Qiangda Chen 244 0.7× 156 1.0× 96 1.0× 64 0.9× 48 0.7× 27 418
Norihiro Matsuura 168 0.5× 68 0.4× 109 1.1× 81 1.2× 54 0.8× 29 347
Seiyed Mohammad Ali Ghayumi 197 0.6× 212 1.4× 101 1.0× 39 0.6× 113 1.7× 33 442

Countries citing papers authored by Judith M. Versluis

Since Specialization
Citations

This map shows the geographic impact of Judith M. Versluis'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 Judith M. Versluis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith M. Versluis more than expected).

Fields of papers citing papers by Judith M. Versluis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith M. Versluis. 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 Judith M. Versluis. The network helps show where Judith M. Versluis may publish in the future.

Co-authorship network of co-authors of Judith M. Versluis

This figure shows the co-authorship network connecting the top 25 collaborators of Judith M. Versluis. A scholar is included among the top collaborators of Judith M. Versluis 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 Judith M. Versluis. Judith M. Versluis 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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