Kit Ming Lee
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immune Response and Inflammation
- Oncology top 10%
- Chemokine receptors and signaling
- Lymphatic System and Diseases
- Cytokine Signaling Pathways and Interactions
Papers in
- Oncology 9
- Chemokine receptors and signaling 6
- Lymphatic System and Diseases 4
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- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Inflammation biomarkers and pathways 1
- Co-authors
- Gerard J. Graham (9 shared papers)Robert J. B. Nibbs (5 shared papers)Laura Medina‐Ruiz (3 shared papers)Clive S. McKimmie (2 shared papers)Delyth Graham (1 shared paper)Jens V. Stein (1 shared paper)Renzo Danuser (1 shared paper)Megan K. L. MacLeod (2 shared papers)
- Journals
- Blood (2 papers)The EMBO Journal (1 paper)PLoS Biology (1 paper)The Journal of Immunology (1 paper)Nursing Research (1 paper)
- Partner nations
- United KingdomAustraliaSwitzerland
In The Last Decade
Kit Ming Lee
13 papers receiving 467 citations
Peers
Comparison fields: 5 of 72
- Immunology 282
- Oncology 303
- Immunology and Allergy 16
- Genetics 17
- Neurology 12
Countries citing papers authored by Kit Ming Lee
This map shows the geographic impact of Kit Ming Lee'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 Kit Ming Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kit Ming Lee more than expected).
Fields of papers citing papers by Kit Ming Lee
This network shows the impact of papers produced by Kit Ming Lee. 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 Kit Ming Lee. The network helps show where Kit Ming Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Kit Ming Lee, 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 | 2019 | 89 | |
| 2 | 2011 | 69 | |
| 3 | 2013 | 68 | |
| 4 | 2014 | 62 | |
| 5 | 2012 | 37 | |
| 6 | 2018 | 33 | |
| 7 | 2012 | 29 | |
| 8 | 2016 | 25 | |
| 9 | 1975 | 20 | |
| 10 | 2019 | 15 | |
| 11 | 2002 | 15 | |
| 12 | 2006 | 10 | |
| 13 | 2017 | 2 |
About Kit Ming Lee
Kit Ming Lee is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Surgery and Infectious Diseases, having authored 13 papers that have together received 474 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (6 papers), Lymphatic System and Diseases (4 papers), Immunotherapy and Immune Responses (4 papers), Neonatal Respiratory Health Research (3 papers), Lymphatic Disorders and Treatments (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Inflammation biomarkers and pathways (1 paper). The work is most often cited by research in Immunology (282 citations), Oncology (303 citations), Immunology and Allergy (16 citations), Genetics (17 citations) and Neurology (12 citations). Kit Ming Lee has collaborated with scholars based in United Kingdom, Australia and Switzerland. Frequent co-authors include Gerard J. Graham, Robert J. B. Nibbs, Laura Medina‐Ruiz, Clive S. McKimmie, Delyth Graham, Jens V. Stein, Renzo Danuser, Megan K. L. MacLeod, Robin Bartolini and Gillian Wilson. Their work appears in journals such as Blood, The EMBO Journal, PLoS Biology, The Journal of Immunology and Nursing Research.
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.