Peng Feng

19 papers and 560 indexed citations i.

About

Peng Feng is a scholar working on Neurology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Peng Feng has authored 19 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Peng Feng’s work include Parkinson's Disease Mechanisms and Treatments (8 papers), Diabetes Treatment and Management (7 papers) and Nuclear Receptors and Signaling (5 papers). Peng Feng is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (8 papers), Diabetes Treatment and Management (7 papers) and Nuclear Receptors and Signaling (5 papers). Peng Feng collaborates with scholars based in China, United Kingdom and Spain. Peng Feng's co-authors include Christian Hölscher, Dongfang Li, Guofang Xue, Guanglai Li, Chenhui Ji, Xiangjian Zhang, Xiaoyan Yang, Lin Li, Jun‐Li Cao and Shiping Liu and has published in prestigious journals such as Journal of Clinical Oncology, Brain Research and European Journal of Pharmacology.

In The Last Decade

Co-authorship network of co-authors of Peng Feng i

Fields of papers citing papers by Peng Feng

Since Specialization
EngineeringComputer 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 Peng Feng. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Peng Feng may publish in the future.

Countries citing papers authored by Peng Feng

Since Specialization
Citations

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

Rankless by CCL
2025