Yan‐jun Gan
Impact in
- Oncology top 2%
- Viral-associated cancers and disorders
- CAR-T cell therapy research
- Polyomavirus and related diseases
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 9
- Viral-associated cancers and disorders 9
-
- Cytomegalovirus and herpesvirus research 5
- Co-authors
- John W. Sixbey (9 shared papers)Laura C. Bowman (3 shared papers)Catherine Y. Ng (2 shared papers)Deo Kumar Srivastava (2 shared papers)Helen E. Heslop (2 shared papers)Malcolm K. Brenner (2 shared papers)Robert A. Krance (2 shared papers)Colton A. Smith (2 shared papers)
- Journals
- Blood (2 papers)Virus Research (1 paper)British Journal of Haematology (1 paper)Cancer (1 paper)Ophthalmology (1 paper)
- Partner nations
- United StatesBangladeshChina
In The Last Decade
Yan‐jun Gan
10 papers receiving 1.4k citations
Yan‐jun Gan's Hit Papers
Peers
Comparison fields: 5 of 49
- Oncology 1.1k
- Immunology 526
- Pathology and Forensic Medicine 307
- Epidemiology 571
- Hematology 138
Countries citing papers authored by Yan‐jun Gan
This map shows the geographic impact of Yan‐jun Gan'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 Yan‐jun Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐jun Gan more than expected).
Fields of papers citing papers by Yan‐jun Gan
This network shows the impact of papers produced by Yan‐jun Gan. 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 Yan‐jun Gan. The network helps show where Yan‐jun Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan‐jun Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Infusion of Cytotoxic T Cells for the Prevention and Treatment of Epstein-Barr Virus–Induced Lymphoma in Allogeneic Transplant Recipients Hit paper breakdown → | 1998 | 859 |
| 2 | 1998 | 285 | |
| 3 | 1998 | 76 | |
| 4 | 2002 | 61 | |
| 5 | 1996 | 44 | |
| 6 | 2000 | 19 | |
| 7 | 2000 | 15 | |
| 8 | 2013 | 14 | |
| 9 | 2000 | 10 | |
| 10 | 1998 | 3 | |
| 11 | 2025 | 0 |
About Yan‐jun Gan
Yan‐jun Gan is a scholar working on Oncology, Epidemiology, Immunology, Pathology and Forensic Medicine and Neurology, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (9 papers), Cytomegalovirus and herpesvirus research (5 papers), Immune Cell Function and Interaction (4 papers), Lymphoma Diagnosis and Treatment (3 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), HIV Research and Treatment (1 paper), Mangiferin and Mango Extracts (1 paper) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Oncology (1.1k citations), Immunology (526 citations), Pathology and Forensic Medicine (307 citations), Epidemiology (571 citations) and Hematology (138 citations). Yan‐jun Gan has collaborated with scholars based in United States, Bangladesh and China. Frequent co-authors include John W. Sixbey, Laura C. Bowman, Catherine Y. Ng, Deo Kumar Srivastava, Helen E. Heslop, Malcolm K. Brenner, Robert A. Krance, Colton A. Smith, Susan K. Loftin and Cliona M. Rooney. Their work appears in journals such as Blood, Virus Research, British Journal of Haematology, Cancer and Ophthalmology.
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.