Xiaojun Ren
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
-
- Thyroid Disorders and Treatments
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Thyroid Disorders and Treatments 2
- Growth Hormone and Insulin-like Growth Factors 2
-
- Epigenetics and DNA Methylation 2
- Co-authors
- Zhaowei Meng (8 shared papers)Qing Zhang (1 shared paper)Qing He (7 shared papers)Mei Zhu (6 shared papers)Kun Song (5 shared papers)Xue Li (5 shared papers)Qiang Jia (4 shared papers)Tianpeng Hu (3 shared papers)
- Journals
- Medicine (4 papers)Molecular Cell (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)ACS Sensors (1 paper)Nutrition & Metabolism (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaojun Ren
16 papers receiving 272 citations
Peers
Comparison fields: 5 of 62
- Nephrology 76
- Endocrinology, Diabetes and Metabolism 73
- Oncology 55
- Epidemiology 48
- Pathology and Forensic Medicine 23
Countries citing papers authored by Xiaojun Ren
This map shows the geographic impact of Xiaojun Ren'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 Xiaojun Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Ren more than expected).
Fields of papers citing papers by Xiaojun Ren
This network shows the impact of papers produced by Xiaojun Ren. 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 Xiaojun Ren. The network helps show where Xiaojun Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojun Ren, 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 | 2015 | 77 | |
| 2 | 2010 | 74 | |
| 3 | 2016 | 23 | |
| 4 | 2016 | 21 | |
| 5 | 2018 | 19 | |
| 6 | 2018 | 14 | |
| 7 | 2024 | 13 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 8 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2016 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2010 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2026 | 0 |
About Xiaojun Ren
Xiaojun Ren is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Epidemiology and Nephrology, having authored 18 papers that have together received 274 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Thyroid Disorders and Treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Nephrology (76 citations), Endocrinology, Diabetes and Metabolism (73 citations), Oncology (55 citations), Epidemiology (48 citations) and Pathology and Forensic Medicine (23 citations). Xiaojun Ren has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhaowei Meng, Qing Zhang, Qing He, Mei Zhu, Kun Song, Xue Li, Qiang Jia, Tianpeng Hu, Jian Tan and Ming Liu. Their work appears in journals such as Medicine, Molecular Cell, The Journal of Clinical Endocrinology & Metabolism, ACS Sensors and Nutrition & Metabolism.
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.