Kunhao Bai
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
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- Cancer-related molecular mechanisms research
Papers in
- Co-authors
- Luxia Zhang (6 shared papers)Yu‐Jun Dai (5 shared papers)Jinwei Wang (3 shared papers)Ming‐Hui Zhao (3 shared papers)Jianyan Long (2 shared papers)Liang Li (1 shared paper)Lingling Shu (1 shared paper)Weida Wang (1 shared paper)
In The Last Decade
Kunhao Bai
20 papers receiving 352 citations
Peers
Comparison fields: 5 of 72
- Nephrology 84
- Cancer Research 30
- Emergency Medical Services 10
- Pulmonary and Respiratory Medicine 43
- Geriatrics and Gerontology 4
Countries citing papers authored by Kunhao Bai
This map shows the geographic impact of Kunhao 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 Kunhao Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunhao Bai more than expected).
Fields of papers citing papers by Kunhao Bai
This network shows the impact of papers produced by Kunhao 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 Kunhao Bai. The network helps show where Kunhao Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunhao 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 111 | |
| 2 | 2020 | 76 | |
| 3 | 2017 | 39 | |
| 4 | 2021 | 23 | |
| 5 | 2017 | 19 | |
| 6 | 2022 | 15 | |
| 7 | 2018 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2025 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2021 | 5 | |
| 13 | [Impact of anemia and chronic kidney disease on the risk of cardiovascular disease and all-cause mortality among diabetic patients]. | 2018 | 4 |
| 14 | 2020 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 2 |
About Kunhao Bai
Kunhao Bai is a scholar working on Oncology, Surgery, Molecular Biology, Cancer Research and Nephrology, having authored 23 papers that have together received 355 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (2 papers), Blood Pressure and Hypertension Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Esophageal Cancer Research and Treatment (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Dialysis and Renal Disease Management (2 papers). The work is most often cited by research in Nephrology (84 citations), Cancer Research (30 citations), Emergency Medical Services (10 citations), Pulmonary and Respiratory Medicine (43 citations) and Geriatrics and Gerontology (4 citations). Kunhao Bai has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Luxia Zhang, Yu‐Jun Dai, Jinwei Wang, Ming‐Hui Zhao, Jianyan Long, Liang Li, Lingling Shu, Weida Wang, Lei Cheng and Siyuan He. Their work appears in journals such as Clinical Interventions in Aging, Frontiers in Immunology, Kidney International, BMC Gastroenterology and American Journal of Kidney Diseases.
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.