E. de Wit

923 citations
26 papers · 771 indexed · h-index 16

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 7
    • Cholesterol and Lipid Metabolism 5
    • Cancer, Lipids, and Metabolism 4
    • Protease and Inhibitor Mechanisms 3

E. de Wit

25 papers receiving 739 citations

Peers

E. de Wit
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 240
  • Cancer Research 164
  • Surgery 297
  • Cardiology and Cardiovascular Medicine 146
  • Immunology 111
Replace Junichiro Tohyama with:
Junichiro Tohyama United States
E M Rubin United States
Debi K. Swertfeger United States
Jheem D. Medh United States
W.J. McConathy United States
S I Skarlatos United States
Takeshi Kujiraoka Japan
Marc W. Pladet United States
Tiziana Sampietro Italy
J. Gordon Porter United States
E. de Wit relative to Junichiro Tohyama United States Junichiro Tohyama's profile →
Citations per field
00.5×1.5×
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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008135
2 200596
3 198681
4 198961
5 200157
6 199154
7 198640
8 198140
9 198729
10 198428
11 198427
12 199122
13 198517
14 197617
15 200216
16 199315
17 199310
18 19808
19 19905
20 19854

About E. de Wit

E. de Wit is a scholar working on Surgery, Cancer Research, Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 771 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 ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (240 citations), Cancer Research (164 citations), Surgery (297 citations), Cardiology and Cardiovascular Medicine (146 citations) and Immunology (111 citations). E. de Wit has collaborated with scholars based in Netherlands, Switzerland and United Kingdom. Frequent co-authors include Louis M. Havekes, Wim J. Sluiter, Dirk Roos, Taco W. Kuijpers, Bram J. van Raam, Arthur J. Verhoeven, E.C. Klasen, H.J.M. Kempen, Mario A. Vermeer and Wolfgang Weber. Their work appears in journals such as Radiotherapy and Oncology, Human Genetics, Biochemical and Biophysical Research Communications, Journal of Hypertension and International Journal of Radiation Oncology*Biology*Physics.

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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