Ke Ren

11.0k total citations · 3 hit papers
165 papers, 8.8k citations indexed

About

Ke Ren is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ke Ren has authored 165 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Physiology, 68 papers in Molecular Biology and 45 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ke Ren's work include Pain Mechanisms and Treatments (78 papers), Neuropeptides and Animal Physiology (28 papers) and Acupuncture Treatment Research Studies (23 papers). Ke Ren is often cited by papers focused on Pain Mechanisms and Treatments (78 papers), Neuropeptides and Animal Physiology (28 papers) and Acupuncture Treatment Research Studies (23 papers). Ke Ren collaborates with scholars based in United States, China and Japan. Ke Ren's co-authors include Ronald Dubner, Richard Torres, Lixing Lao, Wei Feng, Brian Berman, Shiping Zou, Wei Guo, Rui-Xin Zhang, Yun Guan and Ryuji Terayama and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Neuron.

In The Last Decade

Ke Ren

156 papers receiving 8.6k citations

Hit Papers

Interactions between the immune and nervous systems in pain 2009 2026 2014 2020 2010 2009 2019 200 400 600

Peers

Ke Ren
Comparison fields: 5 of 141
  • Physiology 4.6k
  • Cellular and Molecular Neuroscience 2.5k
  • Molecular Biology 2.2k
  • Pharmacology 1.2k
  • Complementary and alternative medicine 957
Replace Peter W. Reeh with:
Peter W. Reeh Germany
Chang‐Ju Kim South Korea
Donald A. Simone United States
Martin Schmelz Germany
Yong‐Jing Gao China
Cheryl L. Stucky United States
Fernando Cerveró United Kingdom
Isabelle Décosterd Switzerland
Robert W. Gereau United States
Hans‐Georg Schaible Germany
Peter W. Reeh Germany View profile →
Citations per field, relative to Ke Ren
Ke Ren · 1×
Citations per year, relative to Ke Ren
Ke Ren · 1×

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).

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.

Co-authorship network of co-authors of Ke Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Ren. A scholar is included among the top collaborators of Ke Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ke Ren. Ke Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 7
4 0
5 19
6 17
7 6
8 8
9 27
10 71
11 9
12 113
13 66
14
[Hath1 gene transfer inhibits the proliferation of colonic cancer cells in vitro].
0
15 154
16 26
17 67
18 75
19 77
20 51

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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