J.A.G.M. van der Korput
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- Hormonal and reproductive studies 10
- Genetics top 2%
- Estrogen and related hormone effects 8
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 2
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- Prostate Cancer Treatment and Research 6
- Molecular Biology top 10%
- Sexual Differentiation and Disorders 4
- RNA and protein synthesis mechanisms 2
- Machine Learning in Bioinformatics 1
- Reproductive Medicine top 5%
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- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Jan TrapmanAlbert O. BrinkmannPeter RiegmanR.J. VlietstraPaul KlaassenGeorge G. J. M. KuiperPeter W. FaberH.C.J. van Rooij
- Journals
- Biochemical and Biophysical Research Communications (4 papers)FEBS Letters (1 paper)Endocrinology (1 paper)
- Partner nations
- NetherlandsCanadaGermany
In The Last Decade
J.A.G.M. van der Korput
17 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 80
- Endocrinology, Diabetes and Metabolism 816
- Genetics 797
- Pulmonary and Respiratory Medicine 834
- Molecular Biology 1.0k
- Reproductive Medicine 115
Countries citing papers authored by J.A.G.M. van der Korput
This map shows the geographic impact of J.A.G.M. van der Korput'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 J.A.G.M. van der Korput with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.A.G.M. van der Korput more than expected).
Fields of papers citing papers by J.A.G.M. van der Korput
This network shows the impact of papers produced by J.A.G.M. van der Korput. 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 J.A.G.M. van der Korput. The network helps show where J.A.G.M. van der Korput may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J.A.G.M. van der Korput, 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 | 68 | |
| 2 | 1992 | 30 | |
| 3 | 1992 | 65 | |
| 4 | 1991 | 390 | |
| 5 | 1990 | 42 | |
| 6 | 1989 | 286 | |
| 7 | 1989 | 64 | |
| 8 | 1989 | 39 | |
| 9 | 1989 | 114 | |
| 10 | 1989 | 57 | |
| 11 | 1989 | 128 | |
| 12 | 1989 | 113 | |
| 13 | 1988 | 275 | |
| 14 | 1988 | 87 | |
| 15 | 1985 | 50 | |
| 16 | 1985 | 28 | |
| 17 | 1984 | 4 |
About J.A.G.M. van der Korput
J.A.G.M. van der Korput is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Genetics, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (10 papers), Estrogen and related hormone effects (8 papers), Prostate Cancer Treatment and Research (6 papers), Sexual Differentiation and Disorders (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), RNA and protein synthesis mechanisms (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (816 citations), Genetics (797 citations) and Pulmonary and Respiratory Medicine (834 citations). J.A.G.M. van der Korput has collaborated with scholars based in Netherlands, Canada and Germany. Frequent co-authors include Jan Trapman, Albert O. Brinkmann, Peter Riegman, R.J. Vlietstra, Paul Klaassen, George G. J. M. Kuiper, Peter W. Faber, H.C.J. van Rooij, E. Mulder and J.C. Romijn. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Endocrinology.
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.