James Chan

1.8k citations
32 papers · 1.3k · h-index 17

Impact in

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 4
    • CAR-T cell therapy research 6

James Chan

32 papers receiving 1.3k citations

Peers

James Chan
Comparison fields: 5 of 94
  • Orthopedics and Sports Medicine 195
  • Genetics 222
  • Neurology 124
  • Immunology 251
  • Urology 55
Replace Xi Jiang with:
Xi Jiang United States
Andrei S. Chagin Sweden
Donald A. Glass United States
Kazunori Yone Japan
Manabu Maeda Japan
Sipin Zhu China
Adeline Henry France
Patricia Luz‐Crawford Chile
Liangming Zhang China
Ken-ichi Iyama Japan
James Chan relative to Xi Jiang United States Xi Jiang's profile →
Citations per field
00.5×1.5×2.2×
Xi Jiang · 1×
Citations per year

Countries citing papers authored by James Chan

Since Specialization
Citations

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

Fields of papers citing papers by James Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002225
2 1995160
3 2011109
4 2013103
5 201290
6 201275
7 200269
8 201061
9 199860
10 200357
11 200847
12 197735
13 200827
14 200625
15 200621
16 201417
17 200916
18 201016
19 200316
20 201015

About James Chan

James Chan is a scholar working on Immunology, Oncology, Genetics, Surgery and Hematology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), CAR-T cell therapy research (6 papers), Virus-based gene therapy research (6 papers), Immune Cell Function and Interaction (5 papers), Diabetes and associated disorders (4 papers), Immunotherapy and Immune Responses (4 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (195 citations), Genetics (222 citations), Neurology (124 citations), Immunology (251 citations) and Urology (55 citations). James Chan has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Ban‐Hock Toh, Frank Alderuccio, Hung Pham, Michael T. Longaker, Matthew B. Klein, Vijesh Vaghjiani, Ursula Manuelpillai, Padma Murthi, Jing Yang Tee and Sharon M. Wahl. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Blood, Familial Cancer and Cells Tissues Organs.

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