Ivan H. Chan

1.7k citations
28 papers · 722 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • CAR-T cell therapy research 14
    • Cancer Immunotherapy and Biomarkers 3
    • Immune Cell Function and Interaction 13
    • Immunotherapy and Immune Responses 8
    • T-cell and B-cell Immunology 2

Ivan H. Chan

27 papers receiving 699 citations

Peers

Ivan H. Chan
Comparison fields: 5 of 65
  • Immunology 370
  • Oncology 336
  • Endocrinology, Diabetes and Metabolism 155
  • Genetics 69
  • Molecular Biology 154
Replace Eyal Fima with:
Eyal Fima Israel
Adam L. Burrack United States
Benoit Cox Belgium
Larry Wong United States
Mathias Hauri‐Hohl Switzerland
Huilian Qin United States
Yoshihiko Tomofuji Japan
Satoru Shimura Japan
Christine M. Smyth Australia
Sarah E. Blink United States
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Citations per year

Countries citing papers authored by Ivan H. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ivan H. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012232
2 2016174
3 200652
4 200950
5 200935
6 201526
7 201126
8 202018
9 200917
10 201117
11 201610
12 20109
13 20168
14 20158
15 20167
16 20167
17 20225
18 20205
19 20214
20 20233

About Ivan H. Chan

Ivan H. Chan is a scholar working on Oncology, Immunology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 28 papers that have together received 722 indexed citations. Recurring topics across this work include CAR-T cell therapy research (14 papers), Immune Cell Function and Interaction (13 papers), Immunotherapy and Immune Responses (8 papers), Thyroid Disorders and Treatments (4 papers), Estrogen and related hormone effects (4 papers), Retinoids in leukemia and cellular processes (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (370 citations), Oncology (336 citations), Endocrinology, Diabetes and Metabolism (155 citations), Genetics (69 citations) and Molecular Biology (154 citations). Ivan H. Chan has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Martin L. Privalsky, John B. Mumm, Martin Oft, Hoa Truong, Jan Emmerich, Drake LaFace, Terrill K. McClanahan, Daniel M. Gorman, Peter Van Vlasselaer and Karen A. Autio. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Molecular Endocrinology, Cancer Immunology Research and Oncogene.

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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