Kee Chan

1.3k citations
35 papers · 685 · h-index 11

Impact in

  • Immunology top 10%
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Genetics top 10%
    • Blood disorders and treatments
    • Genomics and Rare Diseases

Papers in

Kee Chan

28 papers receiving 662 citations

Peers

Kee Chan
Comparison fields: 5 of 99
  • Immunology 384
  • Genetics 203
  • Clinical Biochemistry 46
  • Hepatology 50
  • Epidemiology 215
Replace A. Constantopoulos with:
A. Constantopoulos Greece
Sonnie Kim United States
Rebecca Scherzer United States
Feifan Xiao China
Rebecca Oyomopito Australia
Thomas V. Adamkiewicz United States
Αρτεμισία Κακούρου Greece
Norbert Peshu Kenya
Jeanne Tung United States
Caroline Huber United States
Kee Chan relative to A. Constantopoulos Greece A. Constantopoulos's profile →
Citations per field
00.5×6.3×
A. Constantopoulos · 1×
Citations per year

Countries citing papers authored by Kee Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kee Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kee Chan. 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 Kee Chan. The network helps show where Kee Chan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005284
2 201183
3 201354
4 200146
5 200532
6 201620
7 201218
8 201818
9 201116
10 202115
11
Lymphocyte traffic in lymphoid organ neogenesis: differential roles of Ltalpha and LTalphabeta.
200211
12 201810
13 20119
14 20189
15 20128
16 20147
17 20197
18 20236
19 20196
20 20224

About Kee Chan

Kee Chan is a scholar working on Genetics, Epidemiology, Infectious Diseases, Pediatrics, Perinatology and Child Health and Clinical Biochemistry, having authored 35 papers that have together received 685 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (9 papers), HIV/AIDS Research and Interventions (7 papers), Metabolism and Genetic Disorders (7 papers), HIV, Drug Use, Sexual Risk (6 papers), Adolescent and Pediatric Healthcare (3 papers), Ethics in Clinical Research (3 papers), HIV/AIDS drug development and treatment (3 papers) and Ethics and Legal Issues in Pediatric Healthcare (2 papers). The work is most often cited by research in Immunology (384 citations), Genetics (203 citations), Clinical Biochemistry (46 citations), Hepatology (50 citations) and Epidemiology (215 citations). Kee Chan has collaborated with scholars based in United States, Poland and Australia. Frequent co-authors include Jennifer M. Puck, Joie Davis, Sung‐Yun Pai, Francisco A. Bonilla, Michael Apkon, Herschel Knapp, Nancy H. Ruddle, Matthew Bidwell Goetz, Steven M. Asch and Brian Crain. Their work appears in journals such as International Journal of Neonatal Screening, Value in Health, BMJ Open, Telemedicine Journal and e-Health and Journal of Allergy and Clinical Immunology.

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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