Mireille J. de Wit

11 total papers · 568 total citations
6 papers, 356 citations indexed

About

Mireille J. de Wit is a scholar working on Pathology and Forensic Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Mireille J. de Wit has authored 6 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 3 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Mireille J. de Wit's work include Genetic factors in colorectal cancer (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Cancer Genomics and Diagnostics (2 papers). Mireille J. de Wit is often cited by papers focused on Genetic factors in colorectal cancer (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Cancer Genomics and Diagnostics (2 papers). Mireille J. de Wit collaborates with scholars based in Netherlands, United States and Poland. Mireille J. de Wit's co-authors include Rudy M. Landsvater, Jo W.M. Höppener, Cornelis J.M. Lips, R. A. Geerdink, Geert H. Blijham, Hans Kristian Ploos van Amstel, Frits A. Beemer, Thea M. Vroom, Carel J.M. van Noesel and Bastiaan P. van Rees and has published in prestigious journals such as New England Journal of Medicine, Gastroenterology and Human Genetics.

In The Last Decade

Mireille J. de Wit

6 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Mireille J. de Wit 209 133 107 97 96 6 356
Samaan Na 299 1.4× 117 0.9× 109 1.0× 68 0.7× 101 1.1× 6 395
N. PAPATHANASOPOULOS 150 0.7× 116 0.9× 112 1.0× 41 0.4× 146 1.5× 6 376
Guido Jj 271 1.3× 100 0.8× 85 0.8× 63 0.6× 102 1.1× 3 329
Zoila T. Feldman 218 1.0× 140 1.1× 88 0.8× 29 0.3× 112 1.2× 7 356
R Bonacci 161 0.8× 162 1.2× 155 1.4× 52 0.5× 87 0.9× 6 394
C. C. J. van Vroonhoven 163 0.8× 124 0.9× 39 0.4× 58 0.6× 56 0.6× 12 373
S J Diaz‐Cano 103 0.5× 43 0.3× 77 0.7× 32 0.3× 107 1.1× 8 363
Thong Quang Pham 198 0.9× 33 0.2× 51 0.5× 32 0.3× 72 0.8× 11 324
Karin Weijers 223 1.1× 36 0.3× 117 1.1× 50 0.5× 48 0.5× 9 396
C J Lips 89 0.4× 222 1.7× 159 1.5× 38 0.4× 41 0.4× 9 389

Countries citing papers authored by Mireille J. de Wit

Since Specialization
Citations

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

Fields of papers citing papers by Mireille J. de Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mireille J. de Wit. 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 Mireille J. de Wit. The network helps show where Mireille J. de Wit may publish in the future.

Co-authorship network of co-authors of Mireille J. de Wit

This figure shows the co-authorship network connecting the top 25 collaborators of Mireille J. de Wit. A scholar is included among the top collaborators of Mireille J. de Wit 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 Mireille J. de Wit. Mireille J. de Wit 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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