Ping Gu
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Geriatrics and Gerontology top 5%
Papers in
- Physiology 13
- Adipose Tissue and Metabolism 11
- Diet and metabolism studies 2
- Epidemiology 14
- Adipokines, Inflammation, and Metabolic Diseases 11
- Co-authors
- Aimin Xu (7 shared papers)Xiaoyan Hui (11 shared papers)Bin Lü (17 shared papers)Yu Wang (3 shared papers)Tao Nie (6 shared papers)Donghai Wu (3 shared papers)Tianshi Feng (3 shared papers)Jiaqing Shao (21 shared papers)
- Journals
- Diabetology & Metabolic Syndrome (3 papers)Biochemical and Biophysical Research Communications (2 papers)Diabetes Research and Clinical Practice (2 papers)Clinical and Experimental Hypertension (2 papers)Cardiovascular Diabetology (1 paper)
- Partner nations
- ChinaHong KongNew Zealand
In The Last Decade
Ping Gu
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Physiology 497
- Geriatrics and Gerontology 46
- Epidemiology 442
- Rehabilitation 81
- Endocrine and Autonomic Systems 72
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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 294 | |
| 2 | 2022 | 133 | |
| 3 | 2013 | 124 | |
| 4 | 2017 | 78 | |
| 5 | 2020 | 64 | |
| 6 | 2013 | 64 | |
| 7 | 2017 | 54 | |
| 8 | 2021 | 47 | |
| 9 | 2021 | 46 | |
| 10 | 2015 | 41 | |
| 11 | 2013 | 39 | |
| 12 | 2015 | 34 | |
| 13 | 2023 | 27 | |
| 14 | 2019 | 24 | |
| 15 | 2012 | 24 | |
| 16 | 2012 | 22 | |
| 17 | 2019 | 20 | |
| 18 | 2012 | 20 | |
| 19 | 2020 | 19 | |
| 20 | 2012 | 16 |
About Ping Gu
Ping Gu is a scholar working on Physiology, Epidemiology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 50 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), Sirtuins and Resveratrol in Medicine (3 papers), Diabetes Management and Research (3 papers), Diet and metabolism studies (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Physiology (497 citations), Geriatrics and Gerontology (46 citations), Epidemiology (442 citations), Rehabilitation (81 citations) and Endocrine and Autonomic Systems (72 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, Tao Nie, Donghai Wu, Tianshi Feng, Jiaqing Shao, Jialiang Zhang and K. S. L. Lam. Their work appears in journals such as Diabetology & Metabolic Syndrome, Biochemical and Biophysical Research Communications, Diabetes Research and Clinical Practice, Clinical and Experimental Hypertension and Cardiovascular Diabetology.
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.