Hanjun Qin
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 17
- T-cell and B-cell Immunology 11
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 8
- Oncology 12
- CAR-T cell therapy research 7
- Co-authors
- Xiwei Wu (24 shared papers)Wen‐Hwa Lee (3 shared papers)Chih‐Pin Liu (3 shared papers)Arthur D. Riggs (6 shared papers)Marcin Kortylewski (2 shared papers)Joann Hsu (1 shared paper)Sumanta K. Pal (1 shared paper)Paul Frankel (1 shared paper)
- Journals
- Blood (7 papers)Proceedings of the National Academy of Sciences (3 papers)Cancer Research (2 papers)Clinical Cancer Research (2 papers)Journal of Investigative Dermatology (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Hanjun Qin
35 papers receiving 552 citations
Peers
Comparison fields: 5 of 71
- Immunology 229
- Hematology 68
- Oncology 164
- Dermatology 40
- Cancer Research 63
Countries citing papers authored by Hanjun Qin
This map shows the geographic impact of Hanjun Qin'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 Hanjun Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanjun Qin more than expected).
Fields of papers citing papers by Hanjun Qin
This network shows the impact of papers produced by Hanjun Qin. 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 Hanjun Qin. The network helps show where Hanjun Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanjun Qin, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 104 | |
| 2 | 2015 | 60 | |
| 3 | 2020 | 50 | |
| 4 | 2018 | 32 | |
| 5 | 2020 | 24 | |
| 6 | 2011 | 23 | |
| 7 | 2006 | 23 | |
| 8 | 2018 | 21 | |
| 9 | 2012 | 20 | |
| 10 | 2019 | 18 | |
| 11 | 2019 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2023 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2006 | 9 |
About Hanjun Qin
Hanjun Qin is a scholar working on Immunology, Oncology, Cancer Research, Molecular Biology and Dermatology, having authored 36 papers that have together received 561 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (10 papers), Cutaneous lymphoproliferative disorders research (9 papers), Immunotherapy and Immune Responses (8 papers), CAR-T cell therapy research (7 papers), Cancer-related molecular mechanisms research (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Immunology (229 citations), Hematology (68 citations), Oncology (164 citations), Dermatology (40 citations) and Cancer Research (63 citations). Hanjun Qin has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Xiwei Wu, Wen‐Hwa Lee, Chih‐Pin Liu, Arthur D. Riggs, Marcin Kortylewski, Joann Hsu, Sumanta K. Pal, Paul Frankel, Weiting Du and Christiane Querfeld. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Cancer Research, Clinical Cancer Research and Journal of Investigative Dermatology.
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.