Kan Jiang
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
- Cancer Research top 10%
Papers in
- Immunology 17
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 7
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 5
- Immunotherapy and Immune Responses 4
- Oncology 10
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Hong‐Wei Sun (9 shared papers)Yuka Kanno (9 shared papers)John J. O’Shea (9 shared papers)Vittorio Sartorelli (6 shared papers)Stefania Dell’Orso (8 shared papers)Golnaz Vahedi (3 shared papers)Siqi Xu (1 shared paper)Yongjun Zhang (1 shared paper)
- Journals
- Scientific Reports (3 papers)Blood (2 papers)Science Immunology (2 papers)Food Chemistry (2 papers)Molecular Cell (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kan Jiang
54 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 122
- Immunology 751
- Cancer Research 225
- Oncology 342
- Molecular Biology 804
- Rheumatology 111
Countries citing papers authored by Kan Jiang
This map shows the geographic impact of Kan 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 Kan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Jiang more than expected).
Fields of papers citing papers by Kan Jiang
This network shows the impact of papers produced by Kan 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 Kan Jiang. The network helps show where Kan Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 280 | |
| 2 | 2019 | 201 | |
| 3 | 2018 | 131 | |
| 4 | 2015 | 123 | |
| 5 | 2022 | 89 | |
| 6 | 2006 | 88 | |
| 7 | 2016 | 81 | |
| 8 | 2017 | 73 | |
| 9 | 2018 | 72 | |
| 10 | 2014 | 62 | |
| 11 | 2019 | 62 | |
| 12 | 2017 | 61 | |
| 13 | 2019 | 57 | |
| 14 | 2012 | 54 | |
| 15 | 2015 | 54 | |
| 16 | 2017 | 50 | |
| 17 | 2010 | 45 | |
| 18 | 2002 | 44 | |
| 19 | 2018 | 43 | |
| 20 | 2015 | 39 |
About Kan Jiang
Kan Jiang is a scholar working on Immunology, Oncology, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Lung Cancer Treatments and Mutations (5 papers), RNA Research and Splicing (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (4 papers) and Natural product bioactivities and synthesis (4 papers). The work is most often cited by research in Immunology (751 citations), Cancer Research (225 citations), Oncology (342 citations), Molecular Biology (804 citations) and Rheumatology (111 citations). Kan Jiang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hong‐Wei Sun, Yuka Kanno, John J. O’Shea, Vittorio Sartorelli, Stefania Dell’Orso, Golnaz Vahedi, Siqi Xu, Yongjun Zhang, Yan-Ping Shi and Mariana J. Kaplan. Their work appears in journals such as Scientific Reports, Blood, Science Immunology, Food Chemistry and Molecular Cell.
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.