Kun Jiang
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer-related Molecular Pathways
Papers in
- Co-authors
- Julie Y. Djeu (7 shared papers)Bin Zhong (6 shared papers)Sheng Wei (4 shared papers)Saı̈d M. Sebti (4 shared papers)Elizabeth Hong‐Geller (4 shared papers)Danielle L. Gilvary (4 shared papers)Brian C. Corliss (2 shared papers)Domenico Coppola (10 shared papers)
- Journals
- American Journal of Clinical Pathology (5 papers)Histopathology (3 papers)Applied immunohistochemistry & molecular morphology (3 papers)Cancer Control (3 papers)World Journal of Gastroenterology (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Kun Jiang
74 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 120
- Immunology 698
- Oncology 771
- Cancer Research 254
- Molecular Biology 1.0k
- Immunology and Allergy 76
Countries citing papers authored by Kun Jiang
This map shows the geographic impact of Kun Jiang'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 Kun Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Jiang more than expected).
Fields of papers citing papers by Kun Jiang
This network shows the impact of papers produced by Kun Jiang. 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 Kun Jiang. The network helps show where Kun Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Jiang, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 290 | |
| 2 | 2000 | 200 | |
| 3 | 2001 | 156 | |
| 4 | 2004 | 147 | |
| 5 | A view to a kill: signals triggering cytotoxicity. | 2002 | 103 |
| 6 | 2002 | 97 | |
| 7 | 2004 | 79 | |
| 8 | 2008 | 64 | |
| 9 | 2012 | 62 | |
| 10 | 2002 | 60 | |
| 11 | 2013 | 58 | |
| 12 | 2019 | 58 | |
| 13 | 2003 | 57 | |
| 14 | 2006 | 54 | |
| 15 | 2017 | 53 | |
| 16 | 2011 | 47 | |
| 17 | 2007 | 47 | |
| 18 | 2014 | 47 | |
| 19 | 2020 | 46 | |
| 20 | 2003 | 42 |
About Kun Jiang
Kun Jiang is a scholar working on Oncology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 83 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (14 papers), Pancreatitis Pathology and Treatment (8 papers), Genetic factors in colorectal cancer (7 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Gastric Cancer Management and Outcomes (6 papers), Colorectal and Anal Carcinomas (6 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Immunology (698 citations), Oncology (771 citations), Cancer Research (254 citations), Molecular Biology (1.0k citations) and Immunology and Allergy (76 citations). Kun Jiang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Julie Y. Djeu, Bin Zhong, Sheng Wei, Saı̈d M. Sebti, Elizabeth Hong‐Geller, Danielle L. Gilvary, Sheng Wei, Brian C. Corliss, Domenico Coppola and Jin Q. Cheng. Their work appears in journals such as American Journal of Clinical Pathology, Histopathology, Applied immunohistochemistry & molecular morphology, Cancer Control and World Journal of Gastroenterology.
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.