Léon van Gurp
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
-
- Diabetes Management and Research
Papers in
- Co-authors
- Eelco J.P. de Koning (6 shared papers)Marten A. Engelse (3 shared papers)Alexander van Oudenaarden (3 shared papers)Gitanjali Dharmadhikari (3 shared papers)Françoise Carlotti (2 shared papers)Erik W.L. Jansen (2 shared papers)Mauro J. Muraro (2 shared papers)Nathalie Gröen (1 shared paper)
- Journals
- Nature Communications (2 papers)iScience (1 paper)Behavioural Brain Research (1 paper)Gut (1 paper)Nature (1 paper)
- Partner nations
- NetherlandsSwitzerlandJapan
In The Last Decade
Léon van Gurp
18 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Biophysics 164
- Endocrinology, Diabetes and Metabolism 321
- Genetics 473
- Surgery 739
- Molecular Biology 969
Countries citing papers authored by Léon van Gurp
This map shows the geographic impact of Léon van Gurp'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 Léon van Gurp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léon van Gurp more than expected).
Fields of papers citing papers by Léon van Gurp
This network shows the impact of papers produced by Léon van Gurp. 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 Léon van Gurp. The network helps show where Léon van Gurp may publish in the future.
Co-authors
The 25 scholars most cited alongside Léon van Gurp, 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 | A Single-Cell Transcriptome Atlas of the Human Pancreas Hit paper breakdown → | 2016 | 787 |
| 2 | 2019 | 180 | |
| 3 | 2012 | 158 | |
| 4 | 2011 | 139 | |
| 5 | 2015 | 132 | |
| 6 | 2018 | 113 | |
| 7 | 2021 | 47 | |
| 8 | 2018 | 45 | |
| 9 | 2022 | 39 | |
| 10 | 2011 | 27 | |
| 11 | 2012 | 26 | |
| 12 | 2016 | 22 | |
| 13 | 2019 | 22 | |
| 14 | 2022 | 18 | |
| 15 | 2006 | 14 | |
| 16 | 2024 | 8 | |
| 17 | 2011 | 3 | |
| 18 | 2007 | 3 |
About Léon van Gurp
Léon van Gurp is a scholar working on Surgery, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (8 papers), Diabetes Management and Research (5 papers), Cancer-related gene regulation (3 papers), Single-cell and spatial transcriptomics (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Biophysics (164 citations), Endocrinology, Diabetes and Metabolism (321 citations), Genetics (473 citations), Surgery (739 citations) and Molecular Biology (969 citations). Léon van Gurp has collaborated with scholars based in Netherlands, Switzerland and Japan. Frequent co-authors include Eelco J.P. de Koning, Marten A. Engelse, Alexander van Oudenaarden, Gitanjali Dharmadhikari, Françoise Carlotti, Erik W.L. Jansen, Mauro J. Muraro, Nathalie Gröen, Dominic Grün and Fabrizio Thorel. Their work appears in journals such as Nature Communications, iScience, Behavioural Brain Research, Gut and Nature.
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.