Shun‐Wan Chan

5.4k citations
123 papers · 4.4k · h-index 40

Impact in

Papers in

Shun‐Wan Chan

122 papers receiving 4.3k citations

Peers

Shun‐Wan Chan
Comparison fields: 5 of 154
  • Complementary and alternative medicine 687
  • Biochemistry 441
  • Pharmacology 597
  • Pharmacology 587
  • Geriatrics and Gerontology 115
Replace Aidong Wen with:
Aidong Wen China
Peigen Xiao China
Saikat Dewanjee India
Dae Gill Kang South Korea
Kasi Pandima Devi India
Sei‐Ryang Oh South Korea
Paolo Morazzoni Italy
Zhi‐Ling Yu Hong Kong
Ligen Lin Macao
Siwang Wang China
Shun‐Wan Chan relative to Aidong Wen China Aidong Wen's profile →
Citations per field
00.5×1.5×
Aidong Wen · 1×
Citations per year

Countries citing papers authored by Shun‐Wan Chan

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐Wan Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010249
2 2012197
3 2012179
4 2006173
5 2010120
6 2011114
7 2012107
8 2008103
9 201598
10 200191
11 201490
12 200180
13 201275
14 201472
15 201371
16 200871
17 201466
18 201066
19 200965
20 201164

About Shun‐Wan Chan

Shun‐Wan Chan is a scholar working on Molecular Biology, Complementary and alternative medicine, Pharmacology, Plant Science and Pharmacology, having authored 123 papers that have together received 4.4k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (16 papers), Pharmacological Effects of Natural Compounds (9 papers), Ginseng Biological Effects and Applications (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Phytochemical Studies and Bioactivities (7 papers), Angiogenesis and VEGF in Cancer (6 papers), Flavonoids in Medical Research (6 papers) and Phytochemistry and Biological Activities (6 papers). The work is most often cited by research in Complementary and alternative medicine (687 citations), Biochemistry (441 citations), Pharmacology (597 citations), Pharmacology (587 citations) and Geriatrics and Gerontology (115 citations). Shun‐Wan Chan has collaborated with scholars based in Hong Kong, China and Macao. Frequent co-authors include Yiu Wa Kwan, Peter H. Yu, Simon Ming‐Yuen Lee, Gph Leung, Robbie Yat‐Kan Chan, Jian Wu, Ge Lin, De-Jian Guo, Daniel Kam‐Wah Mok and Ching‐Yee Kwok. Their work appears in journals such as European Journal of Pharmacology, Pharmaceutical Biology, Journal of Functional Foods, Journal of Ethnopharmacology and Evidence-based Complementary and Alternative Medicine.

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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