Jaap van Doorn

36 papers receiving 1.1k citations

Peers

Jaap van Doorn
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 681
  • Genetics 247
  • Cancer Research 119
  • Pediatrics, Perinatology and Child Health 152
  • Biochemistry 43
Replace Hasnain Khandwala with:
Hasnain Khandwala Canada
Kuanfeng Xu China
Jee Hyun An South Korea
Rachel T. McGrath Australia
Maria Kolatsi‐Joannou United Kingdom
Héctor Jasper Argentina
S J Lauer United States
Kalliopi Pazaitou‐Panayiotou Greece
Giuseppina Nicolini Italy
Michèle Cambillau France
Jaap van Doorn relative to Hasnain Khandwala Canada Hasnain Khandwala's profile →
Citations per field
00.5×4.3×
Hasnain Khandwala · 1×
Citations per year

Countries citing papers authored by Jaap van Doorn

Since Specialization
Citations

This map shows the geographic impact of Jaap van Doorn'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 Jaap van Doorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaap van Doorn more than expected).

Fields of papers citing papers by Jaap van Doorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaap van Doorn. 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 Jaap van Doorn. The network helps show where Jaap van Doorn may publish in the future.

Co-authors

The 25 scholars most cited alongside Jaap van Doorn, 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 Jaap van Doorn Line = papers co-authored together Jaap van Doorn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995180
2 1998173
3 1999156
4 200675
5 200741
6 199936
7 200835
8 202029
9 200527
10 201926
11 200825
12 200723
13 201723
14 200821
15 201021
16 200220
17 200720
18 200917
19 201216
20 200714

About Jaap van Doorn

Jaap van Doorn is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Rheumatology and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (28 papers), Metabolism, Diabetes, and Cancer (9 papers), Birth, Development, and Health (5 papers), Lipid metabolism and disorders (5 papers), Soft tissue tumor case studies (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer Risks and Factors (4 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (681 citations), Genetics (247 citations), Cancer Research (119 citations), Pediatrics, Perinatology and Child Health (152 citations) and Biochemistry (43 citations). Jaap van Doorn has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Jan M. Wit, Johannes M.G. Bonfrèr, Catharina M. Korse, Guy Massa, J. L. Van den Brande, Augustinus A. M. Hart, Peter F. Bruning, Theodora C. Linders, M. Javad Khosravi and Anders Juul. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hormone Research in Paediatrics, European Journal of Endocrinology, BioFactors and Biology of Blood and Marrow Transplantation.

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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