Kaiping Han
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Toxin Mechanisms and Immunotoxins
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 12
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 3
- Toxin Mechanisms and Immunotoxins 2
- Oncology 7
- CAR-T cell therapy research 7
- Co-authors
- Hing C. Wong (14 shared papers)Peter R. Rhode (12 shared papers)Xiaoyun Zhu (6 shared papers)Warren D. Marcus (6 shared papers)Lin Kong (9 shared papers)Emily K. Jeng (7 shared papers)Wenxin Xu (4 shared papers)Bai Liu (6 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (3 papers)The Journal of Immunology (3 papers)Cytokine (1 paper)Clinical Immunology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesFinlandChina
In The Last Decade
Kaiping Han
15 papers receiving 780 citations
Peers
Comparison fields: 5 of 49
- Immunology 603
- Oncology 415
- Virology 62
- Biotechnology 68
- Hematology 36
Countries citing papers authored by Kaiping Han
This map shows the geographic impact of Kaiping Han'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 Kaiping Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiping Han more than expected).
Fields of papers citing papers by Kaiping Han
This network shows the impact of papers produced by Kaiping Han. 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 Kaiping Han. The network helps show where Kaiping Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiping Han, 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 | 2015 | 175 | |
| 2 | 2011 | 170 | |
| 3 | 2013 | 159 | |
| 4 | 2009 | 124 | |
| 5 | 2016 | 62 | |
| 6 | 2005 | 47 | |
| 7 | 2008 | 23 | |
| 8 | 2006 | 18 | |
| 9 | 1992 | 14 | |
| 10 | 2014 | 4 | |
| 11 | 2015 | 4 | |
| 12 | Highly efficient transient expression of functional recombinant antibodies in lettuce. Plant Sci | 2005 | 3 |
| 13 | 2017 | 1 | |
| 14 | 2007 | 1 | |
| 15 | 2014 | 1 |
About Kaiping Han
Kaiping Han is a scholar working on Immunology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 806 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Transgenic Plants and Applications (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (603 citations), Oncology (415 citations), Virology (62 citations), Biotechnology (68 citations) and Hematology (36 citations). Kaiping Han has collaborated with scholars based in United States, Finland and China. Frequent co-authors include Hing C. Wong, Peter R. Rhode, Xiaoyun Zhu, Warren D. Marcus, Lin Kong, Emily K. Jeng, Wenxin Xu, Bai Liu, Jason L. Yovandich and Hyung‐il Lee. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, The Journal of Immunology, Cytokine, Clinical Immunology and Journal of Biological Chemistry.
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.