May Chan

737 citations
9 papers · 573 · h-index 9

Impact in

    • Cell Adhesion Molecules Research
    • Cellular transport and secretion
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics

Papers in

May Chan

9 papers receiving 564 citations

Peers

May Chan
Comparison fields: 5 of 78
  • Immunology and Allergy 154
  • Cell Biology 243
  • Aging 23
  • Endocrine and Autonomic Systems 74
  • Cellular and Molecular Neuroscience 95
Replace Siew Ping Han with:
Siew Ping Han Australia
Sarah C. Hughes Canada
Chuntao Dan United States
Sylvie Coscoy France
Arianna Tocchetti Italy
Batiste Boëda France
Holly A. Holman United States
Edward H. Liao Canada
Yutaka Matsubayashi United Kingdom
Erich T. Boger United States
May Chan relative to Siew Ping Han Australia Siew Ping Han's profile →
Citations per field
00.5×3.2×
Siew Ping Han · 1×
Citations per year

Countries citing papers authored by May Chan

Since Specialization
Citations

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

Fields of papers citing papers by May Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2008320
2 201351
3 200943
4 201243
5 201630
6 201629
7 201224
8
Presence of p53 mutation in human cervical carcinomas associated with HPV-33 infection.
199318
9 201915

About May Chan

May Chan is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 9 papers that have together received 573 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (3 papers), Cell Adhesion Molecules Research (2 papers), Sleep and Wakefulness Research (2 papers), Circadian rhythm and melatonin (2 papers), Cellular Mechanics and Interactions (2 papers), Congenital Diaphragmatic Hernia Studies (1 paper), Autophagy in Disease and Therapy (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Immunology and Allergy (154 citations), Cell Biology (243 citations), Aging (23 citations), Endocrine and Autonomic Systems (74 citations) and Cellular and Molecular Neuroscience (95 citations). May Chan has collaborated with scholars based in United States, Ireland and Hong Kong. Frequent co-authors include David Boettiger, Mary W. McCaffrey, Jim C. Norman, Patrick T. Caswell, Andrew J. Lindsay, John E. Zimmerman, Allan I Pack, Jean E. Schwarzbauer, Adam J. Engler and Greg Maislin. Their work appears in journals such as SLEEP, The Journal of Cell Biology, Genetics, Journal of Cell Science and PLoS ONE.

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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