Arjan Diepstra
- Pathology and Forensic Medicine top 0.5%
- Oncology top 2%
- Immunology top 2%
- Molecular Biology top 10%
- Cancer Research top 2%
- Co-authors
- Anke van den BergLydia VisserSibrand PoppemaJoost KluiverEwerton Marques MaggioIlja M. NolteDebora de JongMarijke Niens
- Topics
- Lymphoma Diagnosis and Treatment (100 papers)Immune Cell Function and Interaction (37 papers)Viral-associated cancers and disorders (34 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Arjan Diepstra
155 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 104
- Pathology and Forensic Medicine 1.7k
- Oncology 1.5k
- Immunology 1.3k
- Molecular Biology 968
- Cancer Research 684
Countries citing papers authored by Arjan Diepstra
This map shows the geographic impact of Arjan Diepstra'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 Arjan Diepstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjan Diepstra more than expected).
Fields of papers citing papers by Arjan Diepstra
This network shows the impact of papers produced by Arjan Diepstra. 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 Arjan Diepstra. The network helps show where Arjan Diepstra may publish in the future.
Co-authorship network of co-authors of Arjan Diepstra
This figure shows the co-authorship network connecting the top 25 collaborators of Arjan Diepstra. A scholar is included among the top collaborators of Arjan Diepstra 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 Arjan Diepstra. Arjan Diepstra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 28 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 35 | |
| 12 | 22 | |
| 13 | 1 | |
| 14 | MUTATIONS IN CD58 AND MYB IN HODGKIN LYMPHOMA | 1 |
| 15 | 40 | |
| 16 | 34 | |
| 17 | 26 | |
| 18 | HLA-G expression in classical Hodgkin lymphoma. | 1 |
| 19 | Low frequency of FAS mutations in Reed-Sternberg cells of Hodgkin lymphoma. | 2 |
| 20 | The absence of effective T-cell activation in Hodgkin's disease may be the result of TGF beta production by Reed-Sternberg cells. | 1 |
About Arjan Diepstra
Arjan Diepstra is a scholar working on Pathology and Forensic Medicine, Immunology and Transplantation, having authored 161 papers that have together received 3.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (100 papers), Immune Cell Function and Interaction (37 papers) and Viral-associated cancers and disorders (34 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.7k citations), Immunology (1.3k citations) and Oncology (1.5k citations). Arjan Diepstra has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Anke van den Berg, Lydia Visser, Sibrand Poppema, Joost Kluiver, Ewerton Marques Maggio, Ilja M. Nolte, Debora de Jong, Marijke Niens, S Poppema and Gustaaf W. van Imhoff. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet 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.