Sue Chan

672 citations
21 papers · 564 · h-index 12

Impact in

Papers in

    • Ion channel regulation and function 6
    • Receptor Mechanisms and Signaling 4
    • Metabolism, Diabetes, and Cancer 2
    • Pancreatic function and diabetes 7

Sue Chan

20 papers receiving 545 citations

Peers

Sue Chan
Comparison fields: 5 of 103
  • Biochemistry 57
  • Physiology 37
  • Cellular and Molecular Neuroscience 131
  • Pharmacology 104
  • Endocrine and Autonomic Systems 31
Replace A.P.M. Yusof with:
A.P.M. Yusof Malaysia
Katsura Nozawa Japan
Mohaddeseh Sadat Alavi Iran
F.K. Okwuasaba Nigeria
Vicent Bonet-Costa Spain
Jacqueline Alves Leite Brazil
H Ozaki Japan
André Simões Pires Brazil
Aimin Qiao China
Geneviève Bureau Canada
Sue Chan relative to A.P.M. Yusof Malaysia A.P.M. Yusof's profile →
Citations per field
00.5×
A.P.M. Yusof · 1×
Citations per year

Countries citing papers authored by Sue Chan

Since Specialization
Citations

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

Fields of papers citing papers by Sue Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017154
2 201761
3 200156
4 199954
5 200133
6 198930
7 199629
8 199927
9 201323
10 201417
11 200216
12 199915
13 201910
14 20018
15 20138
16 20118
17 20067
18 20135
19 20042
20 19941

About Sue Chan

Sue Chan is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 564 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Ion channel regulation and function (6 papers), Receptor Mechanisms and Signaling (4 papers), Cannabis and Cannabinoid Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Diet, Metabolism, and Disease (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Biochemistry (57 citations), Physiology (37 citations), Cellular and Molecular Neuroscience (131 citations), Pharmacology (104 citations) and Endocrine and Autonomic Systems (31 citations). Sue Chan has collaborated with scholars based in United Kingdom, United States and Thailand. Frequent co-authors include Noel G. Morgan, Margaret K. Pratten, Jeffrey R. Fry, Christopher A. Ramsden, S P H Alexander, Andrew J. Irving, Jenni Harvey, Klaus Turnheim, James Costantin and Stanley G. Schultz. Their work appears in journals such as British Journal of Pharmacology, Journal of Endocrinology, Journal of Pharmacology and Experimental Therapeutics, Planta Medica and FEBS Letters.

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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