Chenlin Gao
Impact in
- Nephrology top 5%
-
- Diabetes Treatment and Management
- Thyroid Disorders and Treatments
Papers in
-
- Metabolism, Diabetes, and Cancer 6
- Inflammasome and immune disorders 5
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- Diabetes Treatment and Management 5
- Diet, Metabolism, and Disease 5
- Co-authors
- Yong Xu (40 shared papers)Wei Huang (24 shared papers)Yang Long (13 shared papers)Youhua Xu (10 shared papers)Junling Gu (6 shared papers)Man Guo (9 shared papers)Jianhua He (2 shared papers)Mingyue Rao (5 shared papers)
- Journals
- BioMed Research International (6 papers)Diabetes (3 papers)Diabetes Metabolic Syndrome and Obesity (2 papers)Frontiers in Endocrinology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Chenlin Gao
49 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 100
- Nephrology 191
- Endocrinology, Diabetes and Metabolism 419
- Biological Psychiatry 42
- Clinical Biochemistry 111
- Physiology 350
Countries citing papers authored by Chenlin Gao
This map shows the geographic impact of Chenlin 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 Chenlin Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenlin Gao more than expected).
Fields of papers citing papers by Chenlin Gao
This network shows the impact of papers produced by Chenlin 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 Chenlin Gao. The network helps show where Chenlin Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenlin 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
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 178 | |
| 2 | 2020 | 144 | |
| 3 | 2018 | 122 | |
| 4 | 2016 | 112 | |
| 5 | 2019 | 91 | |
| 6 | 2019 | 81 | |
| 7 | 2021 | 78 | |
| 8 | 2019 | 66 | |
| 9 | 2017 | 66 | |
| 10 | 2018 | 56 | |
| 11 | 2014 | 56 | |
| 12 | 2013 | 48 | |
| 13 | 2017 | 46 | |
| 14 | 2022 | 38 | |
| 15 | 2018 | 36 | |
| 16 | 2019 | 36 | |
| 17 | 2013 | 34 | |
| 18 | 2018 | 33 | |
| 19 | 2018 | 32 | |
| 20 | 2014 | 30 |
About Chenlin Gao
Chenlin Gao is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Immunology and Nephrology, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Diabetes Treatment and Management (5 papers), Diet, Metabolism, and Disease (5 papers), Pancreatic function and diabetes (5 papers), Advanced Glycation End Products research (5 papers), Inflammasome and immune disorders (5 papers), Chronic Kidney Disease and Diabetes (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Nephrology (191 citations), Endocrinology, Diabetes and Metabolism (419 citations), Biological Psychiatry (42 citations), Clinical Biochemistry (111 citations) and Physiology (350 citations). Chenlin Gao has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yong Xu, Wei Huang, Yang Long, Youhua Xu, Junling Gu, Man Guo, Jianhua He, Mingyue Rao, Haihua Zhong and Guo Chen. Their work appears in journals such as BioMed Research International, Diabetes, Diabetes Metabolic Syndrome and Obesity, Frontiers in Endocrinology and Scientific Reports.
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.