Zhibin Li
- Nephrology top 1%
- Renal Diseases and Glomerulopathies 9
- Dialysis and Renal Disease Management 7
- Gout, Hyperuricemia, Uric Acid 7
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 7
- Hepatology top 5%
- Behavioral Neuroscience top 10%
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 17
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- Diabetes, Cardiovascular Risks, and Lipoproteins 8
- Diet, Metabolism, and Disease 7
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- Metabolism, Diabetes, and Cancer 6
- Co-authors
- Shuyu YangXuejun LiHaiping MaoXiulin ShiHuijie ZhangLingling PanXueqing YuFrank A. Treiber
- Cited by
- NephrologyCancer ResearchHepatology
- Journals
- PLoS ONE (5 papers)Diabetes Metabolic Syndrome and Obesity (4 papers)BMC Endocrine Disorders (3 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Zhibin Li
112 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Nephrology 487
- Cancer Research 346
- Hepatology 173
- Behavioral Neuroscience 69
- Epidemiology 650
Countries citing papers authored by Zhibin Li
This map shows the geographic impact of Zhibin Li'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 Zhibin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhibin Li more than expected).
Fields of papers citing papers by Zhibin Li
This network shows the impact of papers produced by Zhibin Li. 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 Zhibin Li. The network helps show where Zhibin Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhibin Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 8 | |
| 14 | 2020 | 14 | |
| 15 | 2020 | 10 | |
| 16 | 2019 | 11 | |
| 17 | 2019 | 47 | |
| 18 | 2013 | 14 | |
| 19 | 2012 | 22 | |
| 20 | 2012 | 18 |
About Zhibin Li
Zhibin Li is a scholar working on Nephrology, Behavioral Neuroscience and Epidemiology, having authored 125 papers that have together received 2.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (17 papers), Renal Diseases and Glomerulopathies (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Dialysis and Renal Disease Management (7 papers), Diet, Metabolism, and Disease (7 papers), Gout, Hyperuricemia, Uric Acid (7 papers), Cancer-related molecular mechanisms research (7 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Nephrology (487 citations), Cancer Research (346 citations) and Hepatology (173 citations). Zhibin Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Shuyu Yang, Xuejun Li, Haiping Mao, Xiulin Shi, Huijie Zhang, Lingling Pan, Xueqing Yu, Frank A. Treiber, Harold Snieder and Shaoyong Su. Their work appears in journals such as PLoS ONE, Diabetes Metabolic Syndrome and Obesity, BMC Endocrine Disorders, Journal of Diabetes and Scientific Reports.
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.