Ke Ren
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 153 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Physiology, 61 papers in Molecular Biology and 44 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ke Ren’s work include Pain Mechanisms and Treatments (77 papers), Neuropeptides and Animal Physiology (27 papers) and Acupuncture Treatment Research Studies (22 papers). Ke Ren is often cited by papers focused on Pain Mechanisms and Treatments (77 papers), Neuropeptides and Animal Physiology (27 papers) and Acupuncture Treatment Research Studies (22 papers). Ke Ren collaborates with scholars based in United States, China and Japan. Ke Ren's co-authors include Ronald Dubner, Lixing Lao, Brian Berman, Wei Feng and Shiping Zou and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Neuron.
In The Last Decade
Fields of papers citing papers by Ke Ren
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Ke Ren. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ke Ren may publish in the future.
Countries citing papers authored by Ke Ren
Since SpecializationCitations
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).
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