Guangping Chen

3.1k citations
100 papers · 2.4k · h-index 28

Impact in

Papers in

    • Ion Transport and Channel Regulation 20
    • Receptor Mechanisms and Signaling 9
    • Retinoids in leukemia and cellular processes 7
    • Pharmacogenetics and Drug Metabolism 29

Guangping Chen

95 papers receiving 2.3k citations

Peers

Guangping Chen
Comparison fields: 5 of 116
  • Pharmacology 340
  • Biochemistry 196
  • Molecular Biology 1.3k
  • Cell Biology 249
  • Clinical Biochemistry 96
Replace Erica Novo with:
Erica Novo Italy
Fei Li China
Xiantao Wang United States
Mary Taub United States
Yue Huang China
Kenji Tago Japan
Songtao Yu United States
Hueng‐Sik Choi South Korea
Kwang‐Hee Bae South Korea
Joo‐Won Jeong South Korea
Guangping Chen relative to Erica Novo Italy Erica Novo's profile →
Citations per field
00.5×1.5×1.8×
Erica Novo · 1×
Citations per year

Countries citing papers authored by Guangping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guangping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003307
2 2004113
3 2006108
4 200095
5 200091
6 200874
7 201466
8 201965
9 201858
10 200354
11 200650
12 200648
13 200441
14 200839
15 201239
16 200435
17 200234
18 200834
19 201834
20 200334

About Guangping Chen

Guangping Chen is a scholar working on Molecular Biology, Pharmacology, Surgery, Genetics and Endocrinology, Diabetes and Metabolism, having authored 100 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (29 papers), Ion Transport and Channel Regulation (20 papers), Estrogen and related hormone effects (19 papers), Pancreatic function and diabetes (17 papers), Hormonal Regulation and Hypertension (10 papers), Receptor Mechanisms and Signaling (9 papers), Amino Acid Enzymes and Metabolism (9 papers) and Retinoids in leukemia and cellular processes (7 papers). The work is most often cited by research in Pharmacology (340 citations), Biochemistry (196 citations), Molecular Biology (1.3k citations), Cell Biology (249 citations) and Clinical Biochemistry (96 citations). Guangping Chen has collaborated with scholars based in United States, China and France. Frequent co-authors include Smarajit Maiti, Jeff M. Sands, Anna Radomińska‐Pandya, Janet D. Klein, Otto Fröhlich, Ira J. Goldberg, Hiroaki Yagyu, Yunying Hu, Yuko Kako and Tianyan Zhou. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of Biological Chemistry, Journal of Biochemical and Molecular Toxicology, Biochemistry and Frontiers in Physiology.

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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