Mi Bai
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
- Renal Diseases and Glomerulopathies
- Clinical Biochemistry top 5%
Papers in ⓘ
- Nephrology 21
- Renal Diseases and Glomerulopathies 8
- Chronic Kidney Disease and Diabetes 8
- Acute Kidney Injury Research 7
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- Renal and related cancers 5
- Mitochondrial Function and Pathology 3
- Co-authors
- Aihua Zhang (28 shared papers)Zhanjun Jia (28 shared papers)Songming Huang (25 shared papers)Guixia Ding (13 shared papers)Min Zhao (11 shared papers)Mingzhu Jiang (7 shared papers)Shuang Xu (7 shared papers)Yue Zhang (9 shared papers)
- Journals
- American Journal of Physiology-Renal Physiology (8 papers)Clinical Science (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2 papers)Pediatric Nephrology (2 papers)Advanced Science (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Mi Bai
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 106
- Nephrology 361
- Clinical Biochemistry 77
- Cancer Research 120
- Molecular Biology 531
- Pathology and Forensic Medicine 118
Countries citing papers authored by Mi Bai
This map shows the geographic impact of Mi 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 Mi Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Bai more than expected).
Fields of papers citing papers by Mi Bai
This network shows the impact of papers produced by Mi 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 Mi Bai. The network helps show where Mi Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 142 | |
| 2 | 2017 | 90 | |
| 3 | 2019 | 80 | |
| 4 | 2014 | 73 | |
| 5 | 2015 | 73 | |
| 6 | 2018 | 65 | |
| 7 | 2020 | 49 | |
| 8 | 2023 | 48 | |
| 9 | 2017 | 40 | |
| 10 | 2014 | 35 | |
| 11 | 2021 | 35 | |
| 12 | 2014 | 33 | |
| 13 | 2019 | 27 | |
| 14 | 2020 | 26 | |
| 15 | 2016 | 24 | |
| 16 | 2019 | 19 | |
| 17 | 2016 | 17 | |
| 18 | 2016 | 15 | |
| 19 | 2021 | 14 | |
| 20 | 2016 | 13 |
About Mi Bai
Mi Bai is a scholar working on Nephrology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Surgery, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (8 papers), Chronic Kidney Disease and Diabetes (8 papers), Acute Kidney Injury Research (7 papers), Renal and related cancers (5 papers), Hormonal Regulation and Hypertension (5 papers), Genetic and Kidney Cyst Diseases (4 papers), Mitochondrial Function and Pathology (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Nephrology (361 citations), Clinical Biochemistry (77 citations), Cancer Research (120 citations), Molecular Biology (531 citations) and Pathology and Forensic Medicine (118 citations). Mi Bai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Aihua Zhang, Zhanjun Jia, Songming Huang, Guixia Ding, Min Zhao, Mingzhu Jiang, Shuang Xu, Yue Zhang, Jiajia Ni and Yifan Xie. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Clinical Science, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Pediatric Nephrology and Advanced Science.
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.