Kit Ming Lee

631 citations
15 papers · 489 · h-index 11

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

Papers in

    • Chemokine receptors and signaling 6
    • Lymphatic System and Diseases 4
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2

Kit Ming Lee

15 papers receiving 481 citations

Peers

Kit Ming Lee
Comparison fields: 5 of 69
  • Immunology 268
  • Oncology 300
  • Immunology and Allergy 11
  • Genetics 17
  • Neurology 12
Replace Rosella Vatti with:
Rosella Vatti Italy
Stinne Ravn Greisen Denmark
Concepción Delgado Spain
J. Lisa United States
Limin Xing China
Ayelet Snir Israel
Kazuhiro Mochizuki Japan
John Marker United States
Thean S. Chew United Kingdom
Philippe Pellet France
Kit Ming Lee relative to Rosella Vatti Italy Rosella Vatti's profile →
Citations per field
00.5×
Rosella Vatti · 1×
Citations per year

Countries citing papers authored by Kit Ming Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kit Ming Lee Line = papers co-authored together Kit Ming Lee links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201994
2 201172
3 201371
4 201462
5 201237
6 201833
7 201229
8 201625
9 197521
10 201915
11 200215
12 200610
13 20172
14 19822
15 20211

About Kit Ming Lee

Kit Ming Lee is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Surgery and Infectious Diseases, having authored 15 papers that have together received 489 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (6 papers), Immunotherapy and Immune Responses (4 papers), Lymphatic System and Diseases (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 Parasites and Host Interactions (1 paper). The work is most often cited by research in Immunology (268 citations), Oncology (300 citations), Immunology and Allergy (11 citations), Genetics (17 citations) and Neurology (12 citations). Kit Ming Lee has collaborated with scholars based in United Kingdom, Hong Kong and Canada. Frequent co-authors include Gerard J. Graham, Robert J. B. Nibbs, Laura Medina‐Ruiz, Clive S. McKimmie, Delyth Graham, Renzo Danuser, Jens V. Stein, Robin Bartolini, Megan K. L. MacLeod and Francesca Vidler. Their work appears in journals such as Blood, The EMBO Journal, Nursing Research, The Journal of Immunology and American Journal Of Pathology.

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.

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