Francis Ka-Ming Chan

23.0k citations
69 papers · 11.1k indexed · 5 hit papers · h-index 42
Topics
Cell death mechanisms and regulation (44 papers)Inflammasome and immune disorders (19 papers)interferon and immune responses (18 papers)
Partner nations
United StatesBrazilChina

In The Last Decade

Francis Ka-Ming Chan

68 papers receiving 10.9k citations

Hit Papers

Phosphorylation-Driven Assembly of the RIP1-RIP3 Compl...19992026200820172009201219992016200050010001.5k

Peers

Francis Ka-Ming Chan
Comparison fields: 5 of 140
  • Molecular Biology 7.5k
  • Immunology 5.3k
  • Epidemiology 1.5k
  • Oncology 1.5k
  • Cancer Research 1.4k
Replace Lixin Zheng with:
Lixin Zheng United States
Christopher P. Dillon United States
Marta Muzio Italy
Geoffrey Neale United States
Georg Häcker Germany
Barry P. Sleckman United States
Jean-Luc Bodmer Switzerland
Thomas S. Griffith United States
Makoto Miyagishi Japan
Michael Hahne France
Francis Ka-Ming Chan relative to Lixin Zheng United States Lixin Zheng's profile →
Citations per field
00.5×1.5×
Lixin Zheng · 1×
Citations per year

Countries citing papers authored by Francis Ka-Ming Chan

Since Specialization
Citations

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

Fields of papers citing papers by Francis Ka-Ming Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francis Ka-Ming 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 Francis Ka-Ming Chan. The network helps show where Francis Ka-Ming Chan may publish in the future.

Co-authorship network of co-authors of Francis Ka-Ming Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Ka-Ming Chan. A scholar is included among the top collaborators of Francis Ka-Ming Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francis Ka-Ming Chan. Francis Ka-Ming Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 74
3 29
4 150
5 166
6 46
7 55
8 129
9 288
10 263
11 78
12 8
13 75
14 121
15 1
16
Phosphorylation-Driven Assembly of the RIP1-RIP3 Complex Regulates Programmed Necrosis and Virus-Induced Inflammationbreakdown →
1915
17 14
18 9
19 10
20 124

About Francis Ka-Ming Chan

Francis Ka-Ming Chan is a scholar working on Immunology, Cancer Research and Biophysics, having authored 69 papers that have together received 11.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (44 papers), Inflammasome and immune disorders (19 papers) and interferon and immune responses (18 papers). The work is most often cited by research in Immunology (5.3k citations), Molecular Biology (7.5k citations) and Cancer Research (1.4k citations). Francis Ka-Ming Chan has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Kenta Moriwaki, David Moquin, Michael J. Lenardo, Sreerupa Challa, Richard M. Siegel, Melissa Guildford, Thomas J. McQuade, Tathagat Dutta Ray, Ryan M. Genga and Lixin Zheng. Their work appears in journals such as Nature, Science and Cell.

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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