Kelvin Chan

1.6k citations
54 papers · 1.1k indexed · h-index 20

Kelvin Chan

52 papers receiving 1.1k citations

Peers

Kelvin Chan
Comparison fields: 5 of 132
  • Complementary and alternative medicine 272
  • Biochemistry 84
  • Pharmacology 118
  • Pharmacology 157
  • Neurology 73
Replace Xiao‐chun Liang with:
Xiao‐chun Liang China
Chien‐Chun Li Taiwan
Yen‐Mei Lee Taiwan
Zhiwu Chen China
Arunachalam Muthuraman India
Wun‐Chang Ko Taiwan
Yingcai Niu China
Xia Wu China
Zhaoguo Liu China
Kelvin Chan relative to Xiao‐chun Liang China Xiao‐chun Liang's profile →
Citations per field
00.5×3.2×
Xiao‐chun Liang · 1×
Citations per year

Countries citing papers authored by Kelvin Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kelvin Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20233
3 20236
4 20232
5 20224
6 20219
7 202019
8 202039
9 201713
10 201712
11 20168
12 201513
13 20152
14 201323
15 20121
16 20124
17 201152
18 201049
19 2006129
20
Ephedrine and Phenylpropanolamine Potentiate the Lethal Toxicity of Morphine and Codeine in Naive Mice
19911

About Kelvin Chan

Kelvin Chan is a scholar working on Complementary and alternative medicine, Geriatrics and Gerontology and Applied Microbiology and Biotechnology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (8 papers), Traditional Chinese Medicine Studies (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Medicinal Plants and Neuroprotection (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Receptor Mechanisms and Signaling (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Complementary and alternative medicine (272 citations), Biochemistry (84 citations) and Pharmacology (118 citations). Kelvin Chan has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Valentina Razmovski‐Naumovski, Antony Kam, George Li, Anthony E. James, Srinivas Nammi, Joshua Ka-Shun Ko, Kong M. Li, Lonnie P. Wollmuth, Siu‐Po Ip and Karl Wah Keung Tsim. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Frontiers in Pharmacology, Journal of Ethnopharmacology, IEEE Transactions on Big Data and Journal of Pharmacy & Pharmaceutical 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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