Che Kit Lin

986 citations
20 papers · 700 · h-index 14

Impact in

    • COVID-19 epidemiological studies
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Hepatitis B Virus Studies
    • Respiratory viral infections research

Papers in

    • Influenza Virus Research Studies 4
    • Virology and Viral Diseases 1
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 2

Che Kit Lin

20 papers receiving 681 citations

Peers

Che Kit Lin
Comparison fields: 5 of 80
  • Modeling and Simulation 100
  • Epidemiology 323
  • Infectious Diseases 113
  • Hepatology 44
  • Hematology 62
Replace Cheuk Kwong Lee with:
Cheuk Kwong Lee Hong Kong
Xiucheng Pan China
Qirong Zhu China
Senu Apewokin United States
Sandra Westhaus Germany
Xuejun Li China
Yun Tian China
Manuel Ortega-Álvarez Mexico
C G Lopez Malaysia
Dong Wei China
Che Kit Lin relative to Cheuk Kwong Lee Hong Kong Cheuk Kwong Lee's profile →
Citations per field
00.5×1.5×2.3×
Cheuk Kwong Lee · 1×
Citations per year

Countries citing papers authored by Che Kit Lin

Since Specialization
Citations

This map shows the geographic impact of Che Kit Lin'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 Che Kit Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che Kit Lin more than expected).

Fields of papers citing papers by Che Kit Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che Kit Lin. 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 Che Kit Lin. The network helps show where Che Kit Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Che Kit Lin, 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 Che Kit Lin Line = papers co-authored together Che Kit Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2010150
2 201286
3 201171
4 200358
5 201150
6 200737
7 201436
8 201034
9 200233
10 200728
11 200724
12 200322
13 200121
14 200619
15 201511
16 19956
17 19906
18
A serial cross-sectional serologic survey of 2009 Pandemic (H1N1) in Hong Kong: implications for future pandemic influenza surveillance.
20114
19 20172
20 20012

About Che Kit Lin

Che Kit Lin is a scholar working on Epidemiology, Immunology, Oncology, Physiology and Infectious Diseases, having authored 20 papers that have together received 700 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Influenza Virus Research Studies (4 papers), Viral-associated cancers and disorders (3 papers), Blood groups and transfusion (2 papers), Blood donation and transfusion practices (2 papers), Immunotherapy and Immune Responses (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Modeling and Simulation (100 citations), Epidemiology (323 citations), Infectious Diseases (113 citations), Hepatology (44 citations) and Hematology (62 citations). Che Kit Lin has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Ivan Fan‐Ngai Hung, YL Lau, GM Leung, Cheuk Kwong Lee, Joseph T. Wu, Benjamin J. Cowling, Su‐Vui Lo, Daniel K. W. Chu, Malik Peiris and Clement K. M. Leung. Their work appears in journals such as American Journal of Clinical Pathology, Transfusion, Genes and Immunity, Transfusion Medicine and Cancer Immunology Immunotherapy.

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.

Explore authors with similar magnitude of impact