David C. Chan

39.7k citations
128 papers · 30.7k indexed · 21 hit papers · h-index 68

David C. Chan

124 papers receiving 30.4k citations

Hit Papers

Mitop...5319972026200620162505007501000

Peers

David C. Chan
Comparison fields: 5 of 155
  • Clinical Biochemistry 5.4k
  • Virology 2.7k
  • Molecular Biology 23.9k
  • Aging 498
  • Physiology 4.6k
Replace Mary‐Ellen Harper with:
Mary‐Ellen Harper Canada
Richard J. Youle United States
Junying Yuan United States
Bruce E. Kemp Australia
Keiji Tanaka Japan
Akitsugu Yamamoto Japan
Eiki Kominami Japan
Jean‐Claude Martinou Switzerland
Terje Johansen Norway
Ivan Đikić Germany
David C. Chan relative to Mary‐Ellen Harper Canada Mary‐Ellen Harper's profile →
Citations per field
00.5×7.6×
Mary‐Ellen Harper · 1×
Citations per year

Countries citing papers authored by David C. Chan

Since Specialization
Citations

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

Fields of papers citing papers by David C. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 202512
4
Mitophagy mediated by BNIP3 and NIX protects against ferroptosis by downregulating mitochondrial reactive oxygen speciesbreakdown →
202453
5 20231
6 20226
7 202245
8 202112
9 202117
10
Mitochondrial Dynamics and Its Involvement in Diseasebreakdown →
2019959
11 2019119
12 201654
13
AMP-activated protein kinase mediates mitochondrial fission in response to energy stressbreakdown →
2016857
14 2015133
15 2014193
16 20145
17 20110
18 2004357
19
HIV Entry and Its Inhibitionbreakdown →
19981022
20 199732

About David C. Chan

David C. Chan is a scholar working on Clinical Biochemistry, Developmental Biology and Virology, having authored 128 papers that have together received 30.7k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (92 papers), ATP Synthase and ATPases Research (57 papers), Metabolism and Genetic Disorders (45 papers), Autophagy in Disease and Therapy (13 papers), Genetic Neurodegenerative Diseases (10 papers), HIV/AIDS drug development and treatment (9 papers), Ubiquitin and proteasome pathways (7 papers) and HIV Research and Treatment (7 papers). The work is most often cited by research in Clinical Biochemistry (5.4k citations), Virology (2.7k citations) and Molecular Biology (23.9k citations). David C. Chan has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Hsiuchen Chen, Scott A. Detmer, Peter S. Kim, Prashant Mishra, J. Michael McCaffery, Hui Chen, Zhiyin Song, Anne Chomyn, Erik E. Griffin and Deborah Fass. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, Human Molecular Genetics, Nature Communications 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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