Wanda Chan

63 papers receiving 2.3k citations

Peers

Wanda Chan
Comparison fields: 5 of 95
  • Endocrine and Autonomic Systems 642
  • Endocrinology, Diabetes and Metabolism 944
  • Toxicology 87
  • Nutrition and Dietetics 319
  • Organic Chemistry 533
Replace Graeme Semple with:
Graeme Semple United States
Kang Cheng United States
Alex M. Nadzan United States
Scott W. Rowlinson United States
Hiroyuki Odaka Japan
Edmund J. Sybertz United States
Claus T. Christoffersen Denmark
Margaret van Heek United States
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Wanda Chan relative to Graeme Semple United States Graeme Semple's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wanda Chan

Since Specialization
Citations

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

Fields of papers citing papers by Wanda Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993271
2 1995268
3 1989245
4 1980132
5 1991111
6 197890
7 199485
8 200481
9 199360
10 200754
11 200449
12 199347
13 200442
14 199942
15 199839
16 199838
17 198433
18 200431
19 196731
20 198131

About Wanda Chan

Wanda Chan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Organic Chemistry and Toxicology, having authored 63 papers that have together received 2.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (33 papers), Estrogen and related hormone effects (20 papers), Bioactive Compounds and Antitumor Agents (11 papers), Cancer, Hypoxia, and Metabolism (9 papers), Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (6 papers), Lipid metabolism and disorders (6 papers) and Synthesis and biological activity (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (642 citations), Endocrinology, Diabetes and Metabolism (944 citations), Toxicology (87 citations), Nutrition and Dietetics (319 citations) and Organic Chemistry (533 citations). Wanda Chan has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Bridget Butler, Heng‐Chun Li, Armando Barreto, R. Cheng, A. D. Baines, Roy G. Smith, Gerard J. Hickey, Matthew J. Wyvratt, E. Μ. Convey and William R. Schoen. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Endocrinology, Proceedings of the National Academy of Sciences and European Journal of Biochemistry.

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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