Jan de Groot
Impact in
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
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- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
Papers in
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- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
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- DNA Repair Mechanisms 6
- Porphyrin Metabolism and Disorders 3
- Co-authors
- Rik J. Scheper (14 shared papers)Hans Joenje (6 shared papers)Johan P. de Winter (4 shared papers)Quinten Waisfisz (3 shared papers)Maureen E. Hoatlin (4 shared papers)Yu Zhi (3 shared papers)Fré Arwert (3 shared papers)Laura van der Weel (3 shared papers)
- Journals
- Immunology Letters (2 papers)Nature Genetics (1 paper)Blood (1 paper)International Archives of Allergy and Immunology (1 paper)Immunology (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Jan de Groot
22 papers receiving 693 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 163
- Molecular Biology 560
- Cell Biology 78
- Immunology 93
- Genetics 112
Countries citing papers authored by Jan de Groot
This map shows the geographic impact of Jan de Groot'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 Jan de Groot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan de Groot more than expected).
Fields of papers citing papers by Jan de Groot
This network shows the impact of papers produced by Jan de Groot. 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 Jan de Groot. The network helps show where Jan de Groot may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan de Groot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 218 | |
| 2 | 1999 | 133 | |
| 3 | 2006 | 75 | |
| 4 | 2009 | 59 | |
| 5 | 2000 | 29 | |
| 6 | 2011 | 26 | |
| 7 | 1992 | 22 | |
| 8 | 2010 | 22 | |
| 9 | 2003 | 21 | |
| 10 | 2011 | 18 | |
| 11 | 2002 | 16 | |
| 12 | 2021 | 13 | |
| 13 | 2002 | 12 | |
| 14 | 2009 | 10 | |
| 15 | 2008 | 9 | |
| 16 | 1993 | 8 | |
| 17 | 1986 | 4 | |
| 18 | 1991 | 3 | |
| 19 | 2006 | 3 | |
| 20 | 1991 | 2 |
About Jan de Groot
Jan de Groot is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 705 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), DNA Repair Mechanisms (6 papers), T-cell and B-cell Immunology (5 papers), CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Sarcoidosis and Beryllium Toxicity Research (3 papers) and Porphyrin Metabolism and Disorders (3 papers). The work is most often cited by research in Cancer Research (163 citations), Molecular Biology (560 citations), Cell Biology (78 citations), Immunology (93 citations) and Genetics (112 citations). Jan de Groot has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Rik J. Scheper, Hans Joenje, Johan P. de Winter, Quinten Waisfisz, Maureen E. Hoatlin, Yu Zhi, Fré Arwert, Laura van der Weel, Martin A. Rooimans and Christopher G. Mathew. Their work appears in journals such as Immunology Letters, Nature Genetics, Blood, International Archives of Allergy and Immunology and Immunology.
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.