Gert-Jan Botma
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
Papers in
- Surgery 7
- Pancreatic function and diabetes 5
- Cholesterol and Lipid Metabolism 2
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- Metabolism, Diabetes, and Cancer 3
- Peroxisome Proliferator-Activated Receptors 1
- Co-authors
- John J.P. Kastelein (3 shared papers)Adrie J.M. Verhoeven (8 shared papers)Hans Jansen (5 shared papers)Jolanda M.A. Boer (2 shared papers)Jan Albert Kuivenhoven (2 shared papers)P. Haydn Pritchard (1 shared paper)Peter de Knijff (1 shared paper)Simon N. Pimstone (1 shared paper)
- Journals
- Atherosclerosis (4 papers)Circulation (1 paper)BMC Genomics (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Cell Biochemistry and Biophysics (1 paper)
- Partner nations
- NetherlandsUnited StatesCanada
In The Last Decade
Gert-Jan Botma
10 papers receiving 385 citations
Peers
Comparison fields: 5 of 42
- Endocrinology, Diabetes and Metabolism 186
- Surgery 207
- Cancer Research 61
- Biochemistry 30
- Cardiology and Cardiovascular Medicine 76
Countries citing papers authored by Gert-Jan Botma
This map shows the geographic impact of Gert-Jan Botma'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 Gert-Jan Botma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gert-Jan Botma more than expected).
Fields of papers citing papers by Gert-Jan Botma
This network shows the impact of papers produced by Gert-Jan Botma. 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 Gert-Jan Botma. The network helps show where Gert-Jan Botma may publish in the future.
Co-authors
The 23 scholars most cited alongside Gert-Jan Botma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 182 | |
| 2 | 1998 | 73 | |
| 3 | 2001 | 62 | |
| 4 | 2008 | 48 | |
| 5 | 2004 | 21 | |
| 6 | 2007 | 8 | |
| 7 | 2008 | 3 | |
| 8 | 2007 | 2 | |
| 9 | 2006 | 1 | |
| 10 | 1997 | 1 |
About Gert-Jan Botma
Gert-Jan Botma is a scholar working on Surgery, Molecular Biology, Biochemistry, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 401 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Lipid metabolism and biosynthesis (3 papers), Cholesterol and Lipid Metabolism (2 papers), Lipid metabolism and disorders (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Biomedical Research and Pathophysiology (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (186 citations), Surgery (207 citations), Cancer Research (61 citations), Biochemistry (30 citations) and Cardiology and Cardiovascular Medicine (76 citations). Gert-Jan Botma has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include John J.P. Kastelein, Adrie J.M. Verhoeven, Hans Jansen, Jolanda M.A. Boer, Jan Albert Kuivenhoven, P. Haydn Pritchard, Peter de Knijff, Simon N. Pimstone, Martin H. Prins and Marianne E. Wittekoek. Their work appears in journals such as Atherosclerosis, Circulation, BMC Genomics, Arteriosclerosis Thrombosis and Vascular Biology and Cell Biochemistry and Biophysics.
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.