Chris Chan

988 citations
9 papers · 573 · h-index 8

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

    • Sphingolipid Metabolism and Signaling 2
    • Epigenetics and DNA Methylation 1
    • Lipid Membrane Structure and Behavior 1
    • Nitric Oxide and Endothelin Effects 2

Chris Chan

9 papers receiving 566 citations

Peers

Chris Chan
Comparison fields: 5 of 83
  • Infectious Diseases 121
  • Epidemiology 126
  • Immunology 71
  • Biochemistry 25
  • Molecular Biology 224
Replace Yohei Abe with:
Yohei Abe Japan
Toru Mochizuki Japan
Hema Chahal United Kingdom
Ivan I. Galkin Russia
Marion Brollo France
Katelyn D. Miller United States
Małgorzata Strzałka Poland
Rinki Minakshi India
Matheus Ferracini Brazil
Glynis Klinke Germany
Chris Chan relative to Yohei Abe Japan Yohei Abe's profile →
Citations per field
00.5×1.5×1.8×
Yohei Abe · 1×
Citations per year

Countries citing papers authored by Chris Chan

Since Specialization
Citations

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

Fields of papers citing papers by Chris Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1998159
2 200192
3 201390
4 202088
5 201071
6 200051
7 202111
8 202010
9 20231

About Chris Chan

Chris Chan is a scholar working on Molecular Biology, Physiology, Biochemistry, Infectious Diseases and Surgery, having authored 9 papers that have together received 573 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Birth, Development, and Health (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Epigenetics and DNA Methylation (1 paper), Mosquito-borne diseases and control (1 paper), Emotional Intelligence and Performance (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Infectious Diseases (121 citations), Epidemiology (126 citations), Immunology (71 citations), Biochemistry (25 citations) and Molecular Biology (224 citations). Chris Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Tzipora Goldkorn, Christine Chavez, Naomi Balaban, Karen Matsukuma, Jerold A. Last, Kwok‐Yung Yuen, Vincent Kwok‐Man Poon, Kelvin Kai‐Wang To, Jinxia Zhang and Bo‐Jian Zheng. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, Experimental Biology and Medicine, Cell Reports Medicine, ACS Infectious Diseases and International Journal of Molecular Sciences.

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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