Feng Bai
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
-
- Diabetes Treatment and Management
Papers in
-
- Hormonal and reproductive studies 4
- Diabetes Management and Research 3
- Menopause: Health Impacts and Treatments 3
- Co-authors
- Junwei Yang (2 shared papers)Jing Luo (1 shared paper)Yang Zhou (1 shared paper)Hao Ding (1 shared paper)Jing Xu (1 shared paper)Ke Zen (1 shared paper)Lei Jiang (1 shared paper)Yuan Qi (1 shared paper)
- Journals
- Journal of Hypertension (3 papers)Cardiovascular Therapeutics (2 papers)International Journal of Cardiology (2 papers)Diabetes & Metabolism (1 paper)International Journal of Medical Sciences (1 paper)
- Partner nations
- China
In The Last Decade
Feng Bai
29 papers receiving 594 citations
Peers
Comparison fields: 5 of 85
- Nephrology 98
- Endocrinology, Diabetes and Metabolism 144
- Cancer Research 67
- Cardiology and Cardiovascular Medicine 93
- Clinical Biochemistry 24
Countries citing papers authored by Feng Bai
This map shows the geographic impact of Feng Bai'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 Feng Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Bai more than expected).
Fields of papers citing papers by Feng Bai
This network shows the impact of papers produced by Feng Bai. 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 Feng Bai. The network helps show where Feng Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Bai, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 201 | |
| 2 | 2018 | 48 | |
| 3 | 2019 | 46 | |
| 4 | 2013 | 45 | |
| 5 | 2012 | 30 | |
| 6 | 2018 | 28 | |
| 7 | 2011 | 25 | |
| 8 | 2019 | 21 | |
| 9 | 2012 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2015 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2012 | 14 | |
| 14 | 2018 | 14 | |
| 15 | 2013 | 13 | |
| 16 | 2016 | 11 | |
| 17 | 2013 | 11 | |
| 18 | 2023 | 7 | |
| 19 | 2017 | 6 | |
| 20 | 2015 | 5 |
About Feng Bai
Feng Bai is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics and Complementary and alternative medicine, having authored 32 papers that have together received 609 indexed citations. Recurring topics across this work include Diabetes and associated disorders (4 papers), Blood Pressure and Hypertension Studies (4 papers), Sexual function and dysfunction studies (4 papers), Hormonal and reproductive studies (4 papers), Cardiovascular Function and Risk Factors (4 papers), Diabetes Management and Research (3 papers), Menopause: Health Impacts and Treatments (3 papers) and Traditional Chinese Medicine Analysis (3 papers). The work is most often cited by research in Nephrology (98 citations), Endocrinology, Diabetes and Metabolism (144 citations), Cancer Research (67 citations), Cardiology and Cardiovascular Medicine (93 citations) and Clinical Biochemistry (24 citations). Feng Bai has collaborated with scholars based in China. Frequent co-authors include Junwei Yang, Jing Luo, Yang Zhou, Hao Ding, Jing Xu, Ke Zen, Lei Jiang, Yuan Qi, Shao-Gang Ma and Wen Hu. Their work appears in journals such as Journal of Hypertension, Cardiovascular Therapeutics, International Journal of Cardiology, Diabetes & Metabolism and International Journal of Medical Sciences.
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.