Su Gao

2.9k citations
64 papers · 2.1k · h-index 25

Impact in

Papers in

    • Mitochondrial Function and Pathology 6
    • Adipose Tissue and Metabolism 14
    • Diet and metabolism studies 5
    • Reproductive biology and impacts on aquatic species 3

Su Gao

61 papers receiving 2.1k citations

Peers

Su Gao
Comparison fields: 5 of 113
  • Endocrine and Autonomic Systems 389
  • Physiology 928
  • Neuropsychology and Physiological Psychology 29
  • Nutrition and Dietetics 242
  • Geriatrics and Gerontology 40
Replace Andrew Silver with:
Andrew Silver United States
Gregory J. Tranah United States
Francesca Amati Switzerland
H. J. Armbrecht United States
Carmen C. Pazos‐Moura Brazil
Marciane Milanski Brazil
Sarah L. Gray Canada
Ilan Gabriely United States
Alyson A. Miller Australia
Albert W. Taylor Canada
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Citations per field
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Citations per year

Countries citing papers authored by Su Gao

Since Specialization
Citations

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

Fields of papers citing papers by Su Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012214
2 2012188
3 2007171
4 2015146
5 2007143
6 201493
7 200384
8 201178
9 201673
10 201958
11 201956
12 202156
13 201847
14 202347
15 201346
16 201346
17 201937
18 201335
19 202034
20 202330

About Su Gao

Su Gao is a scholar working on Molecular Biology, Physiology, Endocrine and Autonomic Systems, Nutrition and Dietetics and Surgery, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (14 papers), Regulation of Appetite and Obesity (9 papers), Mitochondrial Function and Pathology (6 papers), Biochemical Analysis and Sensing Techniques (6 papers), Ferroptosis and cancer prognosis (5 papers), Diet and metabolism studies (5 papers), Traditional Chinese Medicine Analysis (4 papers) and Reproductive biology and impacts on aquatic species (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (389 citations), Physiology (928 citations), Neuropsychology and Physiological Psychology (29 citations), Nutrition and Dietetics (242 citations) and Geriatrics and Gerontology (40 citations). Su Gao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gary D. Lopaschuk, Andrew A. Butler, Timothy H. Moran, M. Daniel Lane, Qingzhang Zhu, Ryan P. McMillan, Matthew W. Hulver, Núria Casals, Kathleen Hall and Hugh C. Hendrie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Ethnopharmacology, Scientific Reports, Physiology & Behavior and Obesity.

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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