E. de Wit

931 citations
27 papers · 812 · h-index 16

Impact in

Papers in

E. de Wit

25 papers receiving 769 citations

Peers

E. de Wit
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 236
  • Cancer Research 163
  • Cardiology and Cardiovascular Medicine 149
  • Surgery 286
  • Immunology 110
Replace Junichiro Tohyama with:
Junichiro Tohyama United States
Yumiko Nakagawa-Toyama Japan
Jheem D. Medh United States
Tiziana Sampietro Italy
Debi K. Swertfeger United States
S I Skarlatos United States
W.J. McConathy United States
James P. Corsetti United States
Naoko Iino Japan
Marc W. Pladet United States
E. de Wit relative to Junichiro Tohyama United States Junichiro Tohyama's profile →
Citations per field
00.5×1.7×
Junichiro Tohyama · 1×
Citations per year

Countries citing papers authored by E. de Wit

Since Specialization
Citations

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

Fields of papers citing papers by E. de Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. de Wit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. de Wit Line = papers co-authored together E. de Wit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008140
2 200596
3 198686
4 200168
5 198963
6 199156
7 198140
8 198640
9 198431
10 198729
11 198428
12 197623
13 199122
14 198520
15 200217
16 199315
17 199310
18 198010
19 19905
20 19854

About E. de Wit

E. de Wit is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 27 papers that have together received 812 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Advanced Radiotherapy Techniques (5 papers), Cholesterol and Lipid Metabolism (5 papers), Cancer, Lipids, and Metabolism (4 papers), Lipid metabolism and disorders (4 papers), Protease and Inhibitor Mechanisms (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (236 citations), Cancer Research (163 citations), Cardiology and Cardiovascular Medicine (149 citations), Surgery (286 citations) and Immunology (110 citations). E. de Wit has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Louis M. Havekes, Wim J. Sluiter, Arthur J. Verhoeven, Dirk Roos, Bram J. van Raam, Taco W. Kuijpers, E.C. Klasen, H.J.M. Kempen, Mario A. Vermeer and P. Łoś. Their work appears in journals such as Radiotherapy and Oncology, Biochemical and Biophysical Research Communications, Human Genetics, Hematological Oncology and Journal of Hypertension.

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.

Explore authors with similar magnitude of impact