Nan van Geloven
- Hepatology top 2%
-
- Acute Myocardial Infarction Research 8
- Neurology top 5%
- Reproductive Medicine top 5%
- Ovarian function and disorders 12
- Reproductive Health and Technologies 7
- Geriatrics and Gerontology top 5%
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- Assisted Reproductive Technology and Twin Pregnancy 15
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- Coronary Interventions and Diagnostics 10
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- Statistical Methods in Clinical Trials 8
- Advanced Causal Inference Techniques 8
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- Congenital Heart Disease Studies 8
- Co-authors
- Rob J. de HaanAlexander C. PoenHans A.R.E. TuynmanCyriel Y. PonsioenKirsten BoonstraBen WittemanKarel J. van ErpecumUlrich Beuers
- Journals
- JAMA (1 paper)SHILAP Revista de lepidopterología (1 paper)Blood (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Nan van Geloven
114 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Hepatology 466
- Cardiology and Cardiovascular Medicine 621
- Neurology 377
- Reproductive Medicine 202
- Geriatrics and Gerontology 80
Countries citing papers authored by Nan van Geloven
This map shows the geographic impact of Nan van Geloven'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 Nan van Geloven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan van Geloven more than expected).
Fields of papers citing papers by Nan van Geloven
This network shows the impact of papers produced by Nan van Geloven. 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 Nan van Geloven. The network helps show where Nan van Geloven may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nan van Geloven, 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 | 2025 | 1 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 4 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 58 | |
| 13 | 2019 | 43 | |
| 14 | 2019 | 18 | |
| 15 | 2017 | 10 | |
| 16 | 2013 | 65 | |
| 17 | 2012 | 21 | |
| 18 | 2011 | 33 | |
| 19 | 2010 | 73 | |
| 20 | 2010 | 102 |
About Nan van Geloven
Nan van Geloven is a scholar working on Reproductive Medicine, Statistics and Probability and Obstetrics and Gynecology, having authored 120 papers that have together received 2.9k indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (15 papers), Ovarian function and disorders (12 papers), Coronary Interventions and Diagnostics (10 papers), Statistical Methods in Clinical Trials (8 papers), Congenital Heart Disease Studies (8 papers), Advanced Causal Inference Techniques (8 papers), Acute Myocardial Infarction Research (8 papers) and Reproductive Health and Technologies (7 papers). The work is most often cited by research in Hepatology (466 citations), Cardiology and Cardiovascular Medicine (621 citations) and Neurology (377 citations). Nan van Geloven has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Rob J. de Haan, Alexander C. Poen, Hans A.R.E. Tuynman, Cyriel Y. Ponsioen, Kirsten Boonstra, Ben Witteman, Karel J. van Erpecum, Ulrich Beuers, Robbert J. de Winter and Jan Baan. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Blood.
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.