Vicky Ping Chen

594 citations
13 papers · 494 · h-index 11

Impact in

Papers in

Vicky Ping Chen

13 papers receiving 486 citations

Peers

Vicky Ping Chen
Comparison fields: 5 of 85
  • Endocrine and Autonomic Systems 74
  • Pharmacology 153
  • Complementary and alternative medicine 52
  • Computational Theory and Mathematics 87
  • Behavioral Neuroscience 13
Replace Martina Cebová with:
Martina Cebová Slovakia
Juliana Sorraila de Oliveira Brazil
Edward R. Browne Singapore
Melania Maria Serafini Italy
Siva Reddy Challa India
Koji Ueshima Japan
Hebatalla I. Ahmed Egypt
Zhen Tan China
Jun‐Tack Kwon South Korea
Li‐Jun Zhu China
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Citations per field
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Martina Cebová · 1×
Citations per year

Countries citing papers authored by Vicky Ping Chen

Since Specialization
Citations

This map shows the geographic impact of Vicky Ping 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 Ping 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 Ping Chen more than expected).

Fields of papers citing papers by Vicky Ping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201592
2 201689
3 201285
4 201856
5 201643
6 201741
7 200921
8 201720
9 201016
10 201711
11 201510
12 20195
13 20135

About Vicky Ping Chen

Vicky Ping Chen is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics, Cellular and Molecular Neuroscience, Molecular Biology and Physiology, having authored 13 papers that have together received 494 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (6 papers), Biochemical Analysis and Sensing Techniques (5 papers), Traditional Chinese Medicine Analysis (2 papers), Neurobiology and Insect Physiology Research (2 papers), Adipose Tissue and Metabolism (2 papers), Mercury impact and mitigation studies (1 paper), Biochemical effects in animals (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (74 citations), Pharmacology (153 citations), Complementary and alternative medicine (52 citations), Computational Theory and Mathematics (87 citations) and Behavioral Neuroscience (13 citations). Vicky Ping Chen has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Stephen Brimijoin, Liyi Geng, Yang Gao, Yuan‐Ping Pang, Yang Gao, Robin J. Parks, Karl Wah Keung Tsim, Yuzhong Zheng, David T. W. Lau and Michael B. Stout. Their work appears in journals such as Proceedings of the National Academy of Sciences, Planta Medica, Human Gene Therapy, Chemico-Biological Interactions and Journal of Molecular Neuroscience.

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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