Ke Ren

About

Ke Ren is a scholar working on Cellular and Molecular Neuroscience, Physiology and Pharmacology. According to data from OpenAlex, Ke Ren has authored 24 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Physiology and 5 papers in Pharmacology. Recurrent topics in Ke Ren’s work include Pain Mechanisms and Treatments (6 papers), Pharmacological Effects of Natural Compounds (4 papers) and Neuropeptides and Animal Physiology (4 papers). Ke Ren is often cited by papers focused on Pain Mechanisms and Treatments (6 papers), Pharmacological Effects of Natural Compounds (4 papers) and Neuropeptides and Animal Physiology (4 papers). Ke Ren collaborates with scholars based in China, United States and Puerto Rico. Ke Ren's co-authors include Ronald Dubner, Richard L. Nahin, Marino De León, Hiroki Imbe, Michael J. Iadarola, Edwin M. Meyer, Italo Mocchetti, Rachel L. Nosheny, Lino Tessarollo and Alexander G. Yakovlev and has published in prestigious journals such as Pain, Annals of the New York Academy of Sciences and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Ke Ren i

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Fields of papers citing papers by Ke Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ke 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 Ke Ren. The network helps show where Ke Ren may publish in the future.

Countries citing papers authored by Ke Ren

Since Specialization

Citations

This map shows the geographic impact of Ke 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 Ke Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke 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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