Ping Gu
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Geriatrics and Gerontology top 5%
Papers in
- Epidemiology 14
- Adipokines, Inflammation, and Metabolic Diseases 11
- Liver Disease Diagnosis and Treatment 2
- Physiology 13
- Adipose Tissue and Metabolism 11
- Co-authors
- Aimin Xu (7 shared papers)Xiaoyan Hui (11 shared papers)Bin Lü (17 shared papers)Yu Wang (3 shared papers)Donghai Wu (3 shared papers)Tao Nie (6 shared papers)Jiaqing Shao (21 shared papers)Tianshi Feng (3 shared papers)
- Journals
- Diabetology & Metabolic Syndrome (3 papers)Diabetes Research and Clinical Practice (2 papers)Biochemical and Biophysical Research Communications (2 papers)Clinical and Experimental Hypertension (2 papers)Cell Metabolism (1 paper)
- Partner nations
- ChinaHong KongNew Zealand
In The Last Decade
Ping Gu
44 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Physiology 490
- Geriatrics and Gerontology 46
- Epidemiology 436
- Rehabilitation 80
- Endocrine and Autonomic Systems 71
Countries citing papers authored by Ping Gu
This map shows the geographic impact of Ping Gu'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 Ping Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Gu more than expected).
Fields of papers citing papers by Ping Gu
This network shows the impact of papers produced by Ping Gu. 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 Ping Gu. The network helps show where Ping Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Gu, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 287 | |
| 2 | 2013 | 122 | |
| 3 | 2022 | 121 | |
| 4 | 2017 | 79 | |
| 5 | 2020 | 62 | |
| 6 | 2013 | 60 | |
| 7 | 2017 | 54 | |
| 8 | 2021 | 47 | |
| 9 | 2021 | 41 | |
| 10 | 2013 | 39 | |
| 11 | 2015 | 39 | |
| 12 | 2015 | 32 | |
| 13 | 2012 | 24 | |
| 14 | 2019 | 23 | |
| 15 | 2023 | 22 | |
| 16 | 2012 | 22 | |
| 17 | 2012 | 20 | |
| 18 | 2019 | 20 | |
| 19 | 2020 | 19 | |
| 20 | 2012 | 16 |
About Ping Gu
Ping Gu is a scholar working on Epidemiology, Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 49 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), Cardiovascular Disease and Adiposity (4 papers), Diabetes Management and Research (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Diabetes and associated disorders (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Physiology (490 citations), Geriatrics and Gerontology (46 citations), Epidemiology (436 citations), Rehabilitation (80 citations) and Endocrine and Autonomic Systems (71 citations). Ping Gu has collaborated with scholars based in China, Hong Kong and New Zealand. Frequent co-authors include Aimin Xu, Xiaoyan Hui, Bin Lü, Yu Wang, Donghai Wu, Tao Nie, Jiaqing Shao, Tianshi Feng, Cheng Zhong and Jialiang Zhang. Their work appears in journals such as Diabetology & Metabolic Syndrome, Diabetes Research and Clinical Practice, Biochemical and Biophysical Research Communications, Clinical and Experimental Hypertension and Cell Metabolism.
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.