Gui‐Ling Ren

12 papers and 724 indexed citations i.

About

Gui‐Ling Ren is a scholar working on Nephrology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Gui‐Ling Ren has authored 12 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nephrology, 6 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Gui‐Ling Ren’s work include Acute Kidney Injury Research (4 papers), Chemotherapy-induced organ toxicity mitigation (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). Gui‐Ling Ren is often cited by papers focused on Acute Kidney Injury Research (4 papers), Chemotherapy-induced organ toxicity mitigation (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). Gui‐Ling Ren collaborates with scholars based in China, Hong Kong and United States. Gui‐Ling Ren's co-authors include Xiao‐Ming Meng, Jun Li, Qin Yang, Hai-Di Li, Li Gao, Xiongwen Lv, Cheng Huang, Weifeng Wu, Hui Y. Lan and Jun Li and has published in prestigious journals such as European Journal of Pharmacology, Journal of Cellular Physiology and Separation and Purification Technology.

In The Last Decade

Co-authorship network of co-authors of Gui‐Ling Ren i

Fields of papers citing papers by Gui‐Ling Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Gui‐Ling Ren

Since Specialization
Citations

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).

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.

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