Gui‐Ling Ren
Impact in
- Nephrology top 2%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Pathology and Forensic Medicine top 10%
- Chemotherapy-induced organ toxicity mitigation
Papers in
-
- Acute Kidney Injury Research 4
- Chronic Kidney Disease and Diabetes 3
- Gout, Hyperuricemia, Uric Acid 2
-
- Chemotherapy-induced organ toxicity mitigation 3
- Biomedical Research and Pathophysiology 2
- Co-authors
- Xiao‐Ming Meng (9 shared papers)Jun Li (4 shared papers)Qin Yang (4 shared papers)Hai-Di Li (5 shared papers)Li Gao (5 shared papers)Cheng Huang (4 shared papers)Weifeng Wu (4 shared papers)Xiongwen Lv (4 shared papers)
- Journals
- Laboratory Investigation (4 papers)Separation and Purification Technology (1 paper)Oncotarget (1 paper)Frontiers in Pharmacology (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Gui‐Ling Ren
12 papers receiving 821 citations
Peers
Comparison fields: 5 of 83
- Nephrology 248
- Pathology and Forensic Medicine 182
- Cancer Research 83
- Molecular Biology 372
- Immunology 64
Countries citing papers authored by Gui‐Ling Ren
This map shows the geographic impact of Gui‐Ling 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 Gui‐Ling Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gui‐Ling Ren more than expected).
Fields of papers citing papers by Gui‐Ling Ren
This network shows the impact of papers produced by Gui‐Ling 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 Gui‐Ling Ren. The network helps show where Gui‐Ling Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Gui‐Ling 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 | 2017 | 177 | |
| 2 | 2019 | 108 | |
| 3 | 2015 | 90 | |
| 4 | 2016 | 85 | |
| 5 | 2018 | 84 | |
| 6 | 2018 | 83 | |
| 7 | 2017 | 80 | |
| 8 | 2018 | 48 | |
| 9 | 2016 | 34 | |
| 10 | 2022 | 27 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 3 |
About Gui‐Ling Ren
Gui‐Ling Ren is a scholar working on Nephrology, Pathology and Forensic Medicine, Renewable Energy, Sustainability and the Environment, Molecular Biology and Electrochemistry, having authored 12 papers that have together received 824 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (4 papers), Chronic Kidney Disease and Diabetes (3 papers), TGF-β signaling in diseases (3 papers), Chemotherapy-induced organ toxicity mitigation (3 papers), Biomedical Research and Pathophysiology (2 papers), Electrocatalysts for Energy Conversion (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Nephrology (248 citations), Pathology and Forensic Medicine (182 citations), Cancer Research (83 citations), Molecular Biology (372 citations) and Immunology (64 citations). Gui‐Ling Ren has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Xiao‐Ming Meng, Jun Li, Qin Yang, Hai-Di Li, Li Gao, Cheng Huang, Weifeng Wu, Xiongwen Lv, Hui-Yao Lan and Jun Li. Their work appears in journals such as Laboratory Investigation, Separation and Purification Technology, Oncotarget, Frontiers in Pharmacology and Journal of Cellular Physiology.
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.