Shan Gao
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms 6
- Endocrine and Autonomic Systems top 10%
- Hepatology top 10%
- Hepatitis C virus research 5
- Physiology top 10%
- Adipose Tissue and Metabolism 11
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases 11
- Liver Disease Diagnosis and Treatment 7
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- Genetic Associations and Epidemiology 9
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- Diet, Metabolism, and Disease 6
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- Metabolism, Diabetes, and Cancer 5
- Journals
- PLoS ONE (3 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Diabetes (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Shan Gao
104 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 132
- Aging 59
- Endocrine and Autonomic Systems 71
- Hepatology 79
- Physiology 255
- Epidemiology 259
Countries citing papers authored by Shan Gao
This map shows the geographic impact of Shan 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 Shan Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Gao more than expected).
Fields of papers citing papers by Shan Gao
This network shows the impact of papers produced by Shan 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 Shan Gao. The network helps show where Shan Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shan Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 36 | |
| 10 | 2020 | 16 | |
| 11 | 2019 | 34 | |
| 12 | 2019 | 9 | |
| 13 | Effects of partial substitution of organic nitrogen for inorganic nitrogen in fertilization on salinity and nitrogen utilization in salinized coastal soil. | 2019 | 4 |
| 14 | 2019 | 2 | |
| 15 | 2018 | 41 | |
| 16 | 2018 | 8 | |
| 17 | 2018 | 23 | |
| 18 | 2017 | 40 | |
| 19 | 2014 | 10 | |
| 20 | [Relationship between metabolic syndrome and adipokines on diabetes among high-risk populations]. | 2012 | 5 |
About Shan Gao
Shan Gao is a scholar working on Aging, Endocrine and Autonomic Systems and Physiology, having authored 112 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Genetic Associations and Epidemiology (9 papers), Liver Disease Diagnosis and Treatment (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Diet, Metabolism, and Disease (6 papers), Metabolism, Diabetes, and Cancer (5 papers) and Hepatitis C virus research (5 papers). The work is most often cited by research in Aging (59 citations), Endocrine and Autonomic Systems (71 citations) and Hepatology (79 citations). Shan Gao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ming Li, Junling Fu, Lujiao Li, Mingyao Li, Ge Li, Xuefei Zhang, Tingting Zhang, Jie Mi, Yun Shao and Steven M. Willi. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.
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.