Thomas Kuilman
Impact in
- Aging top 1%
- Physiology top 1%
- Telomeres, Telomerase, and Senescence
Papers in
- Oncology 16
- Cancer Immunotherapy and Biomarkers 8
- CAR-T cell therapy research 4
- Cutaneous Melanoma Detection and Management 2
- Immunology 10
- Immune Cell Function and Interaction 3
- Co-authors
- Daniel S. Peeper (19 shared papers)Liesbeth C.W. Vredeveld (2 shared papers)Chrysiis Michaloglou (2 shared papers)Wolter J. Mooi (2 shared papers)Remco van Doorn (1 shared paper)Sirith Douma (1 shared paper)Christophe J. Desmet (1 shared paper)Lucien A. Aarden (1 shared paper)
- Journals
- Cell (3 papers)Cell Reports Medicine (2 papers)Cell Reports (2 papers)EMBO Molecular Medicine (2 papers)Nature (2 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Thomas Kuilman
28 papers receiving 6.0k citations
Thomas Kuilman's Hit Papers
Peers
Comparison fields: 5 of 108
- Aging 265
- Physiology 2.1k
- Oncology 1.9k
- Cancer Research 979
- Immunology 1.3k
Countries citing papers authored by Thomas Kuilman
This map shows the geographic impact of Thomas Kuilman'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 Thomas Kuilman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Kuilman more than expected).
Fields of papers citing papers by Thomas Kuilman
This network shows the impact of papers produced by Thomas Kuilman. 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 Thomas Kuilman. The network helps show where Thomas Kuilman may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Kuilman, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | BRAFE600-associated senescence-like cell cycle arrest of human naevi Hit paper breakdown → | 2005 | 1750 |
| 2 | Oncogene-Induced Senescence Relayed by an Interleukin-Dependent Inflammatory Network Hit paper breakdown → | 2008 | 1723 |
| 3 | Senescence-messaging secretome: SMS-ing cellular stress Hit paper breakdown → | 2009 | 757 |
| 4 | 2015 | 407 | |
| 5 | 2019 | 208 | |
| 6 | 2018 | 183 | |
| 7 | 2015 | 170 | |
| 8 | 2016 | 121 | |
| 9 | 2015 | 120 | |
| 10 | 2017 | 119 | |
| 11 | 2013 | 104 | |
| 12 | 2018 | 102 | |
| 13 | 2016 | 61 | |
| 14 | 2014 | 50 | |
| 15 | 2022 | 35 | |
| 16 | 2020 | 31 | |
| 17 | 2015 | 29 | |
| 18 | 2023 | 26 | |
| 19 | 2022 | 24 | |
| 20 | 2014 | 23 |
About Thomas Kuilman
Thomas Kuilman is a scholar working on Oncology, Immunology, Cancer Research, Molecular Biology and Physiology, having authored 29 papers that have together received 6.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Melanoma and MAPK Pathways (7 papers), Cancer Genomics and Diagnostics (5 papers), CAR-T cell therapy research (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Immune Cell Function and Interaction (3 papers), Cutaneous Melanoma Detection and Management (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Aging (265 citations), Physiology (2.1k citations), Oncology (1.9k citations), Cancer Research (979 citations) and Immunology (1.3k citations). Thomas Kuilman has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Daniel S. Peeper, Liesbeth C.W. Vredeveld, Chrysiis Michaloglou, Wolter J. Mooi, Remco van Doorn, Sirith Douma, Christophe J. Desmet, Lucien A. Aarden, Chantal M.A.M. van der Horst and Jerry W. Shay. Their work appears in journals such as Cell, Cell Reports Medicine, Cell Reports, EMBO Molecular Medicine 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.