Jan Spanholtz
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 35
- Immune Cell Function and Interaction 34
- Immunotherapy and Immune Responses 2
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- Hematopoietic Stem Cell Transplantation 3
- Acute Myeloid Leukemia Research 1
- Co-authors
- Harry Dolstra (10 shared papers)Marleen Tordoir (7 shared papers)Nicolaas PM Schaap (6 shared papers)Tanja D. de Gruijl (13 shared papers)Henk M.W. Verheul (9 shared papers)Hans J. van der Vliet (9 shared papers)Frank W. M. B. Preijers (5 shared papers)Nina Kok (6 shared papers)
- Journals
- PLoS ONE (7 papers)Frontiers in Immunology (5 papers)Stem Cells and Development (3 papers)Cancers (3 papers)Blood (2 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Jan Spanholtz
41 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 56
- Immunology 1.2k
- Oncology 400
- Hematology 153
- Genetics 40
- Molecular Biology 181
Countries citing papers authored by Jan Spanholtz
This map shows the geographic impact of Jan Spanholtz'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 Spanholtz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Spanholtz more than expected).
Fields of papers citing papers by Jan Spanholtz
This network shows the impact of papers produced by Jan Spanholtz. 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 Spanholtz. The network helps show where Jan Spanholtz may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Spanholtz, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 202 | |
| 2 | 2017 | 180 | |
| 3 | 2017 | 157 | |
| 4 | 2010 | 155 | |
| 5 | 2022 | 138 | |
| 6 | 2015 | 89 | |
| 7 | 2013 | 81 | |
| 8 | 2016 | 70 | |
| 9 | 2013 | 61 | |
| 10 | 2005 | 58 | |
| 11 | 2012 | 54 | |
| 12 | 2015 | 53 | |
| 13 | 2023 | 48 | |
| 14 | 2017 | 42 | |
| 15 | 2014 | 40 | |
| 16 | 2017 | 40 | |
| 17 | 2014 | 34 | |
| 18 | 2005 | 32 | |
| 19 | 2006 | 31 | |
| 20 | 2016 | 31 |
About Jan Spanholtz
Jan Spanholtz is a scholar working on Immunology, Hematology, Oncology, Genetics and Genetics, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (34 papers), Hematopoietic Stem Cell Transplantation (3 papers), CAR-T cell therapy research (2 papers), Virus-based gene therapy research (2 papers), Immunotherapy and Immune Responses (2 papers), RNA Interference and Gene Delivery (1 paper), Acute Myeloid Leukemia Research (1 paper) and Glioma Diagnosis and Treatment (1 paper). The work is most often cited by research in Immunology (1.2k citations), Oncology (400 citations), Hematology (153 citations), Genetics (40 citations) and Molecular Biology (181 citations). Jan Spanholtz has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Harry Dolstra, Marleen Tordoir, Nicolaas PM Schaap, Tanja D. de Gruijl, Henk M.W. Verheul, Hans J. van der Vliet, Frank W. M. B. Preijers, Nina Kok, John P. Veluchamy and Monica Raimo. Their work appears in journals such as PLoS ONE, Frontiers in Immunology, Stem Cells and Development, Cancers and Blood.
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.