Yan Jun Li
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
-
- Tryptophan and brain disorders
Papers in
-
- Gut microbiota and health 2
- S100 Proteins and Annexins 1
- Surgery 2
- Pancreatitis Pathology and Treatment 1
- Co-authors
- Steven J. Chadban (7 shared papers)Tony Kwan (4 shared papers)Jin Ma (3 shared papers)Yik Wen Loh (5 shared papers)Xiaochen Chen (2 shared papers)Laurence Macia (5 shared papers)Julian Singer (5 shared papers)Huiling Wu (3 shared papers)
- Journals
- Frontiers in Cell and Developmental Biology (2 papers)Journal of the American Society of Nephrology (2 papers)BMJ Open (1 paper)Diabetes Obesity and Metabolism (1 paper)Transplantation (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Yan Jun Li
10 papers receiving 515 citations
Yan Jun Li's Hit Papers
Peers
Comparison fields: 5 of 69
- Nephrology 83
- Biological Psychiatry 19
- Transplantation 14
- Physiology 126
- Molecular Biology 270
Countries citing papers authored by Yan Jun Li
This map shows the geographic impact of Yan Jun 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 Yan Jun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Jun Li more than expected).
Fields of papers citing papers by Yan Jun Li
This network shows the impact of papers produced by Yan Jun 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 Yan Jun Li. The network helps show where Yan Jun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Jun 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 | Dietary Fiber Protects against Diabetic Nephropathy through Short-Chain Fatty Acid–Mediated Activation of G Protein–Coupled Receptors GPR43 and GPR109A Hit paper breakdown → | 2020 | 279 |
| 2 | 2019 | 66 | |
| 3 | 2020 | 65 | |
| 4 | 2021 | 42 | |
| 5 | 2007 | 33 | |
| 6 | 2023 | 25 | |
| 7 | 2021 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 1 |
About Yan Jun Li
Yan Jun Li is a scholar working on Molecular Biology, Surgery, Physiology, Immunology and Nephrology, having authored 10 papers that have together received 519 indexed citations. Recurring topics across this work include Gut microbiota and health (2 papers), Diet and metabolism studies (2 papers), Biomarkers in Disease Mechanisms (1 paper), S100 Proteins and Annexins (1 paper), Mangiferin and Mango Extracts (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Renal Transplantation Outcomes and Treatments (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Nephrology (83 citations), Biological Psychiatry (19 citations), Transplantation (14 citations), Physiology (126 citations) and Molecular Biology (270 citations). Yan Jun Li has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Steven J. Chadban, Tony Kwan, Jin Ma, Yik Wen Loh, Xiaochen Chen, Laurence Macia, Julian Singer, Huiling Wu, Jian Tan and Yunzi Liu. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Journal of the American Society of Nephrology, BMJ Open, Diabetes Obesity and Metabolism and Transplantation.
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.