Nan van Geloven

5.4k citations
120 papers · 2.9k indexed · 1 hit paper · h-index 28

Nan van Geloven

114 papers receiving 2.8k citations

Hit Papers

Population-based epidemiology, malignancy risk, and outco...4722013202620172021100200300400

Peers

Nan van Geloven
Comparison fields: 5 of 132
  • Hepatology 466
  • Cardiology and Cardiovascular Medicine 621
  • Neurology 377
  • Reproductive Medicine 202
  • Geriatrics and Gerontology 80
Replace Seon‐Ok Kim with:
Seon‐Ok Kim South Korea
Rudi M. H. Roumen Netherlands
Bernard J. Park United States
Massimo Galia Italy
Ya Ruth Huo Australia
Prabin Thapa United States
Florent Boutitie France
Kimberly Webster United States
James D. Myles United States
Gerrit D. Slooter Netherlands
Nan van Geloven relative to Seon‐Ok Kim South Korea Seon‐Ok Kim's profile →
Citations per field
00.5×4.4×
Seon‐Ok Kim · 1×
Citations per year

Countries citing papers authored by Nan van Geloven

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nan van Geloven Line = papers co-authored together Nan van Geloven links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20255
3 20250
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5 20251
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7 20242
8 20244
9 20221
10 202113
11 20211
12 202058
13 201943
14 201918
15 201710
16 201365
17 201221
18 201133
19 201073
20 2010102

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.

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