Vicky P. Chen

701 citations
25 papers · 628 · h-index 14

Impact in

Papers in

    • Cholinesterase and Neurodegenerative Diseases 20
    • Nicotinic Acetylcholine Receptors Study 5
    • Ion channel regulation and function 3
    • Bone Metabolism and Diseases 2

Vicky P. Chen

25 papers receiving 610 citations

Peers

Vicky P. Chen
Comparison fields: 5 of 91
  • Pharmacology 251
  • Complementary and alternative medicine 77
  • Computational Theory and Mathematics 117
  • Aging 10
  • Physiology 110
Replace Mingyue Wu with:
Mingyue Wu China
Soojin Hwang South Korea
Shanker Datt Joshi India
Sonia Mazzitelli Italy
Miranda L. Xu Hong Kong
Judy Cam United States
Senthilkumar Krishnamoorthi Hong Kong
Ning‐hua Wu China
Jiankang Fang Macao
Nicolle Siegart United States
Vicky P. Chen relative to Mingyue Wu China Mingyue Wu's profile →
Citations per field
00.5×10×12.8×
Mingyue Wu · 1×
Citations per year

Countries citing papers authored by Vicky P. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Vicky P. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vicky P. Chen. 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 Vicky P. Chen. The network helps show where Vicky P. Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011108
2 201067
3 202060
4 201058
5 201047
6 201144
7 200926
8 201025
9 200924
10 201123
11 201020
12 200716
13 201816
14 201215
15 200813
16 200911
17 201210
18 200910
19 20129
20 20087

About Vicky P. Chen

Vicky P. Chen is a scholar working on Pharmacology, Molecular Biology, Computational Theory and Mathematics, Physiology and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 628 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (20 papers), Computational Drug Discovery Methods (11 papers), Alzheimer's disease research and treatments (7 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Pesticide Exposure and Toxicity (4 papers), Ion channel regulation and function (3 papers), Bone Metabolism and Diseases (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Pharmacology (251 citations), Complementary and alternative medicine (77 citations), Computational Theory and Mathematics (117 citations), Aging (10 citations) and Physiology (110 citations). Vicky P. Chen has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Karl Wah Keung Tsim, Roy C.Y. Choi, Ka Wing Leung, Heidi Q. Xie, Ava J.Y. Guo, Anna Cheung, Sherry L. Xu, Gallant Kar-Lun Chan, Wallace Chan and Tina Ting-Xia Dong. Their work appears in journals such as Chemico-Biological Interactions, Journal of Biological Chemistry, Journal of Neurochemistry, FEBS Journal and Frontiers in Pharmacology.

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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