Hans W. Nijman

23.0k citations
204 papers · 13.4k indexed · 6 hit papers · h-index 52

Hans W. Nijman

196 papers receiving 13.2k citations

Hit Papers

Tumour-in...137199620262006201650010001.5k2.0k2.5k

Peers

Hans W. Nijman
Comparison fields: 5 of 136
  • Obstetrics and Gynecology 3.0k
  • Reproductive Medicine 2.3k
  • Immunology 5.6k
  • Oncology 4.8k
  • Cancer Research 2.5k
Replace Gemma G. Kenter with:
Gemma G. Kenter Netherlands
Masaki Mandai Japan
Alessandro D. Santin United States
Gert Jan Fleuren Netherlands
Leon F.A.G. Massuger Netherlands
Ronald D. Alvarez United States
Maria Cristina Mingari Italy
Ate G.J. van der Zee Netherlands
Achim A. Jungbluth United States
Thomas Krausz United States
Hans W. Nijman relative to Gemma G. Kenter Netherlands Gemma G. Kenter's profile →
Citations per field
00.5×3.3×
Gemma G. Kenter · 1×
Citations per year

Countries citing papers authored by Hans W. Nijman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20240
4 20239
5 20232
6 20221
7 20221
8 20221
9 20224
10
Tumour-infiltrating lymphocytes: from prognosis to treatment selectionbreakdown →
2022137
11 202042
12 202014
13 20190
14 2019167
15 201833
16 2017129
17
Improved Risk Assessment by Integrating Molecular and Clinicopathological Factors in Early-stage Endometrial Cancer—Combined Analysis of the PORTEC Cohortsbreakdown →
2016569
18 201666
19 201556
20 2015231

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), Ovarian cancer diagnosis and treatment (47 papers), Cancer Immunotherapy and Biomarkers (46 papers), Immune Cell Function and Interaction (38 papers), Cervical Cancer and HPV Research (36 papers), Virus-based gene therapy research (16 papers) and Reproductive System and Pregnancy (13 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.

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