Ka‐Kit Li
Impact in
- Hepatology top 5%
- Liver Diseases and Immunity
- Liver physiology and pathology
- Liver Disease and Transplantation
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- Immune cells in cancer
- Immune Cell Function and Interaction
- Immune Response and Inflammation
Papers in
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- Immune cells in cancer 3
- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
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- Liver Diseases and Immunity 3
- Co-authors
- David Adams (7 shared papers)Stuart M. Curbishley (6 shared papers)Henning W. Zimmermann (6 shared papers)Evaggelia Liaskou (2 shared papers)Ye Htun Oo (2 shared papers)Zania Stamataki (2 shared papers)Omar Qureshi (1 shared paper)Shankar Suresh (1 shared paper)
- Journals
- Journal of Hepatology (3 papers)Hepatology (2 papers)Molecules (2 papers)The Journal of Immunology (2 papers)Nature Reviews Gastroenterology & Hepatology (1 paper)
- Partner nations
- United KingdomGermanyHong Kong
In The Last Decade
Ka‐Kit Li
15 papers receiving 421 citations
Peers
Comparison fields: 5 of 60
- Hepatology 225
- Immunology 126
- Epidemiology 175
- Transplantation 5
- Surgery 72
Countries citing papers authored by Ka‐Kit Li
This map shows the geographic impact of Ka‐Kit Li'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 Ka‐Kit Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka‐Kit Li more than expected).
Fields of papers citing papers by Ka‐Kit Li
This network shows the impact of papers produced by Ka‐Kit Li. 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 Ka‐Kit Li. The network helps show where Ka‐Kit Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ka‐Kit Li, 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 | 2012 | 197 | |
| 2 | 2014 | 88 | |
| 3 | 2015 | 35 | |
| 4 | 2016 | 21 | |
| 5 | 2015 | 20 | |
| 6 | 2015 | 20 | |
| 7 | 2012 | 11 | |
| 8 | 2017 | 10 | |
| 9 | 2014 | 7 | |
| 10 | 2009 | 5 | |
| 11 | 2022 | 3 | |
| 12 | 2009 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2013 | 1 |
About Ka‐Kit Li
Ka‐Kit Li is a scholar working on Immunology, Hepatology, Organic Chemistry, Surgery and Epidemiology, having authored 15 papers that have together received 424 indexed citations. Recurring topics across this work include Liver Diseases and Immunity (3 papers), Immune cells in cancer (3 papers), Organ Transplantation Techniques and Outcomes (2 papers), Immunotherapy and Immune Responses (2 papers), Catalytic Alkyne Reactions (2 papers), T-cell and B-cell Immunology (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hepatology (225 citations), Immunology (126 citations), Epidemiology (175 citations), Transplantation (5 citations) and Surgery (72 citations). Ka‐Kit Li has collaborated with scholars based in United Kingdom, Germany and Hong Kong. Frequent co-authors include David Adams, Stuart M. Curbishley, Henning W. Zimmermann, Evaggelia Liaskou, Ye Htun Oo, Zania Stamataki, Omar Qureshi, Shankar Suresh, Jean Shaw and Wing‐Kin Syn. Their work appears in journals such as Journal of Hepatology, Hepatology, Molecules, The Journal of Immunology and Nature Reviews Gastroenterology & Hepatology.
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.