Hans W. Nijman
- Immunology top 0.2%
- Oncology top 0.2%
- Molecular Biology top 1%
- Obstetrics and Gynecology top 0.1%
- Cancer Research top 0.5%
- Co-authors
- Toos DaemenCornelis J.M. MeliefHans J. GeuzeGraça RaposoWillem StoorvogelClifford V. HardingNinke LeffersMarco de Bruyn
- Topics
- Endometrial and Cervical Cancer Treatments (72 papers)Immunotherapy and Immune Responses (66 papers)Ovarian cancer diagnosis and treatment (47 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineJournal of Clinical Oncology
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Hans W. Nijman
196 papers receiving 13.2k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Immunology 5.6k
- Oncology 4.8k
- Molecular Biology 4.6k
- Obstetrics and Gynecology 3.0k
- Cancer Research 2.5k
Countries citing papers authored by Hans W. Nijman
This map shows the geographic impact of Hans W. Nijman'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 Hans W. Nijman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans W. Nijman more than expected).
Fields of papers citing papers by Hans W. Nijman
This network shows the impact of papers produced by Hans W. Nijman. 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 Hans W. Nijman. The network helps show where Hans W. Nijman may publish in the future.
Co-authorship network of co-authors of Hans W. Nijman
This figure shows the co-authorship network connecting the top 25 collaborators of Hans W. Nijman. A scholar is included among the top collaborators of Hans W. Nijman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hans W. Nijman. Hans W. Nijman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | Tumour-infiltrating lymphocytes: from prognosis to treatment selectionbreakdown → | 137 |
| 11 | 42 | |
| 12 | 14 | |
| 13 | 0 | |
| 14 | 167 | |
| 15 | 33 | |
| 16 | 129 | |
| 17 | Improved Risk Assessment by Integrating Molecular and Clinicopathological Factors in Early-stage Endometrial Cancer—Combined Analysis of the PORTEC Cohortsbreakdown → | 569 |
| 18 | 66 | |
| 19 | 56 | |
| 20 | 231 |
About Hans W. Nijman
Hans W. Nijman is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Immunology, having authored 204 papers that have together received 13.4k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (72 papers), Immunotherapy and Immune Responses (66 papers) and Ovarian cancer diagnosis and treatment (47 papers). The work is most often cited by research in Obstetrics and Gynecology (3.0k citations), Reproductive Medicine (2.3k citations) and Immunology (5.6k citations). Hans W. Nijman has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Toos Daemen, Cornelis J.M. Melief, Hans J. Geuze, Graça Raposo, Willem Stoorvogel, Clifford V. Harding, Ninke Leffers, Marco de Bruyn, Marloes J.M. Gooden and Geertruida H. de Bock. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.