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)Weifeng Wu (4 shared papers)Cheng Huang (4 shared papers)Xiongwen Lv (4 shared papers)
- Journals
- Laboratory Investigation (4 papers)Oncotarget (1 paper)Journal of Cellular Physiology (1 paper)Theranostics (1 paper)Journal of Electroanalytical Chemistry (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Gui‐Ling Ren
12 papers receiving 767 citations
Peers
Comparison fields: 5 of 85
- Nephrology 280
- Pathology and Forensic Medicine 179
- Cancer Research 96
- Molecular Biology 394
- Immunology 72
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 | 161 | |
| 2 | 2019 | 101 | |
| 3 | 2015 | 86 | |
| 4 | 2018 | 80 | |
| 5 | 2016 | 79 | |
| 6 | 2018 | 79 | |
| 7 | 2017 | 73 | |
| 8 | 2018 | 45 | |
| 9 | 2016 | 30 | |
| 10 | 2022 | 26 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 3 |
About Gui‐Ling Ren
Gui‐Ling Ren is a scholar working on Nephrology, Pathology and Forensic Medicine, Electrochemistry, Clinical Biochemistry and Renewable Energy, Sustainability and the Environment, having authored 12 papers that have together received 768 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (4 papers), TGF-β signaling in diseases (3 papers), Chemotherapy-induced organ toxicity mitigation (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Electrocatalysts for Energy Conversion (2 papers), Inflammasome and immune disorders (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers) and Biomedical Research and Pathophysiology (2 papers). The work is most often cited by research in Nephrology (280 citations), Pathology and Forensic Medicine (179 citations), Cancer Research (96 citations), Molecular Biology (394 citations) and Immunology (72 citations). Gui‐Ling Ren has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiao‐Ming Meng, Jun Li, Qin Yang, Hai-Di Li, Li Gao, Weifeng Wu, Cheng Huang, Xiongwen Lv, Hui Y. Lan and Jun Li. Their work appears in journals such as Laboratory Investigation, Oncotarget, Journal of Cellular Physiology, Theranostics and Journal of Electroanalytical Chemistry.
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.