Ke-Fei Shen

1.9k total citations
23 papers, 1.6k citations indexed

About

Ke-Fei Shen is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Ke-Fei Shen has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 19 papers in Physiology and 18 papers in Molecular Biology. Recurrent topics in Ke-Fei Shen's work include Neuropeptides and Animal Physiology (20 papers), Pain Mechanisms and Treatments (19 papers) and Receptor Mechanisms and Signaling (10 papers). Ke-Fei Shen is often cited by papers focused on Neuropeptides and Animal Physiology (20 papers), Pain Mechanisms and Treatments (19 papers) and Receptor Mechanisms and Signaling (10 papers). Ke-Fei Shen collaborates with scholars based in United States. Ke-Fei Shen's co-authors include Stanley M. Crain, P.A. Schwartzkroin, Guoguang Chen, Alcmène Chalazonitis and Robert W. Ledeen and has published in prestigious journals such as Brain Research, Pain and Annals of the New York Academy of Sciences.

In The Last Decade

Ke-Fei Shen

23 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ke-Fei Shen United States 19 1.2k 921 808 206 164 23 1.6k
Mingting Tian United States 7 1.0k 0.9× 504 0.5× 756 0.9× 344 1.7× 126 0.8× 9 1.6k
Kim Fisher Canada 17 605 0.5× 887 1.0× 394 0.5× 296 1.4× 138 0.8× 21 1.4k
Wendy Walwyn United States 26 1.3k 1.1× 789 0.9× 985 1.2× 121 0.6× 73 0.4× 42 1.9k
Jan Hendrich United Kingdom 8 562 0.5× 620 0.7× 688 0.9× 64 0.3× 93 0.6× 8 1.3k
W.A. Prado Brazil 18 345 0.3× 527 0.6× 293 0.4× 171 0.8× 175 1.1× 48 1.1k
A. Ableitner Germany 10 656 0.6× 402 0.4× 366 0.5× 56 0.3× 85 0.5× 14 918
Shaun Gorman United Kingdom 5 401 0.3× 582 0.6× 696 0.9× 45 0.2× 68 0.4× 7 1.1k
Wojciech Margas United States 14 657 0.6× 311 0.3× 552 0.7× 68 0.3× 43 0.3× 33 1.0k
Margit Szikszay Hungary 16 460 0.4× 391 0.4× 348 0.4× 105 0.5× 102 0.6× 39 811
J.W. Villiger New Zealand 18 500 0.4× 221 0.2× 328 0.4× 106 0.5× 92 0.6× 33 847

Countries citing papers authored by Ke-Fei Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ke-Fei Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke-Fei Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Ke-Fei Shen. A scholar is included among the top collaborators of Ke-Fei Shen 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-Fei Shen. Ke-Fei Shen 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
4.
Crain, Stanley M. & Ke-Fei Shen. (2001). Acute thermal hyperalgesia elicited by low-dose morphine in normal mice is blocked by ultra-low-dose naltrexone, unmasking potent opioid analgesia. Brain Research. 888(1). 75–82. 130 indexed citations
8.
Crain, Stanley M. & Ke-Fei Shen. (1998). GM1 Ganglioside‐induced Modulation of Opioid Receptor‐mediated Functions. Annals of the New York Academy of Sciences. 845(1). 106–125. 40 indexed citations
9.
Shen, Ke-Fei & Stanley M. Crain. (1997). Ultra-low doses of naltrexone or etorphine increase morphine's antinociceptive potency and attenuate tolerance/dependence in mice. Brain Research. 757(2). 176–190. 104 indexed citations
11.
Crain, Stanley M. & Ke-Fei Shen. (1996). Modulatory effects of Gs-coupled excitatory opioid receptor functions on opioid analgesia, tolerance, and dependence. Neurochemical Research. 21(11). 1347–1351. 65 indexed citations
15.
Shen, Ke-Fei & Stanley M. Crain. (1992). Chronic selective activation of excitatory opioid receptor functions in sensory neurons results in opioid ‘dependence’ without tolerance. Brain Research. 597(1). 74–83. 47 indexed citations
16.
Shen, Ke-Fei, Stanley M. Crain, & Robert W. Ledeen. (1991). Brief treatment of sensory ganglion neurons with GM1 ganglioside enhances the efficacy of opioid excitatory effects on the action potential. Brain Research. 559(1). 130–138. 36 indexed citations
17.
Crain, Stanley M. & Ke-Fei Shen. (1990). Opioids can evoke direct receptor-mediated excitatory effects on sensory neurons. Trends in Pharmacological Sciences. 11(2). 77–81. 292 indexed citations
19.
Shen, Ke-Fei & P.A. Schwartzkroin. (1988). Effects of temperature alterations on population and cellular activities in hippocampal slices from mature and immature rabbit. Brain Research. 475(2). 305–316. 72 indexed citations
20.
Chen, Guoguang, Alcmène Chalazonitis, Ke-Fei Shen, & Stanley M. Crain. (1988). Inhibitor of cyclic AMP-dependent protein kinase blocks opioid-induced prolongation of the action potential of mouse sensory ganglion neurons in dissociated cell cultures. Brain Research. 462(2). 372–377. 55 indexed citations

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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