Jiaping Gao

3.3k citations
32 papers · 2.6k indexed · h-index 21

Impact in

Papers in

    • Muscle metabolism and nutrition 11
    • Adipose Tissue and Metabolism 13
    • Diet and metabolism studies 3

Jiaping Gao

32 papers receiving 2.5k citations

Peers

Jiaping Gao
Comparison fields: 5 of 104
  • Physiology 886
  • Endocrinology, Diabetes and Metabolism 409
  • Cell Biology 400
  • Molecular Biology 1.5k
  • Geriatrics and Gerontology 62
Replace Beat M. Jucker with:
Beat M. Jucker United States
Franck Peiretti France
Ferhaan Ahmad United States
Yasushi Kaburagi Japan
Doina Popov Romania
Jack Youngren United States
Jian Wu China
Tamara L. Allen Australia
Zheng‐Gen Jin United States
Timothy Soos United States
Jiaping Gao relative to Beat M. Jucker United States Beat M. Jucker's profile →
Citations per field
00.5×2.8×
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-authorship network

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
#Work
1 20218
2 20212
3 201916
4 20132
5 201242
6 2010444
7 2010151
8 200815
9 200518
10 200582
11 2004447
12 200134
13 200049
14 199929
15 199716
16 199758
17 199560
18 199413
19 199311
20 198856

About Jiaping Gao

Jiaping Gao is a scholar working on Cell Biology, Physiology, Molecular Biology, Behavioral Neuroscience and Biochemistry, having authored 32 papers that have together received 2.6k 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), Fibroblast Growth Factor Research (2 papers), Mitochondrial Function and Pathology (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Physiology (886 citations), Endocrinology, Diabetes and Metabolism (409 citations), Cell Biology (400 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, Qing Yang, Zhidan Wu, Mike Mueckler, John O. Holloszy, Bess A. Marshall, Lorraine A. Nolte and Dong‐Ho Han. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Endocrinology and Metabolism, Journal of Medicinal Chemistry, Metabolism and Journal of Applied 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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