Jiaping Gao

3.3k citations
32 papers · 2.7k · h-index 21

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 12
    • Kruppel-like factors research 2
    • Fibroblast Growth Factor Research 2
    • Adipose Tissue and Metabolism 13
    • Diet and metabolism studies 3

Jiaping Gao

32 papers receiving 2.6k citations

Peers

Jiaping Gao
Comparison fields: 5 of 104
  • Physiology 833
  • Endocrinology, Diabetes and Metabolism 370
  • Cell Biology 365
  • Molecular Biology 1.5k
  • Geriatrics and Gerontology 62
Replace Beat M. Jucker with:
Beat M. Jucker United States
Guillaume Vial France
Franck Peiretti France
Reshma Shringarpure United States
Anibh M. Das Germany
Doina Popov Romania
Yasushi Kaburagi Japan
Anath Shalev United States
F. Umeda Japan
Zheng‐Gen Jin United States
Jiaping Gao relative to Beat M. Jucker United States Beat M. Jucker's profile →
Citations per field
00.5×3.3×
Beat M. Jucker · 1×
Citations per year

Countries citing papers authored by Jiaping Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jiaping Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010460
2 2004459
3 1993233
4 2002224
5 2010159
6 2001132
7 200595
8 199485
9 199485
10 199569
11 199561
12 199761
13 199860
14 198858
15 200455
16 200054
17 199453
18 201246
19 200738
20 200137

About Jiaping Gao

Jiaping Gao is a scholar working on Molecular Biology, Physiology, Cell Biology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 2.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Metabolism, Diabetes, and Cancer (12 papers), Muscle metabolism and nutrition (11 papers), Diet and metabolism studies (3 papers), Biochemical Acid Research Studies (2 papers), Kruppel-like factors research (2 papers), Fibroblast Growth Factor Research (2 papers) and Cardiovascular and exercise physiology (2 papers). The work is most often cited by research in Physiology (833 citations), Endocrinology, Diabetes and Metabolism (370 citations), Cell Biology (365 citations), Molecular Biology (1.5k citations) and Geriatrics and Gerontology (62 citations). Jiaping Gao has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include E. A. Gulve, J. O. Holloszy, Jesper Gromada, Zhidan Wu, Qing Yang, Mike Mueckler, John O. Holloszy, Bess A. Marshall, Dong‐Ho Han and Lorraine A. Nolte. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Endocrinology and Metabolism, Journal of Medicinal Chemistry, Metabolism and American Journal of Physiology-Cell 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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