Yun Guan

187 papers and 6.7k indexed citations i.

About

Yun Guan is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Yun Guan has authored 187 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Physiology, 73 papers in Cellular and Molecular Neuroscience and 47 papers in Molecular Biology. Recurrent topics in Yun Guan’s work include Pain Mechanisms and Treatments (96 papers), Neuropeptides and Animal Physiology (32 papers) and Pain Management and Treatment (28 papers). Yun Guan is often cited by papers focused on Pain Mechanisms and Treatments (96 papers), Neuropeptides and Animal Physiology (32 papers) and Pain Management and Treatment (28 papers). Yun Guan collaborates with scholars based in United States, China and Sweden. Yun Guan's co-authors include Srinivasa N. Raja, Xinzhong Dong, Vinod Tiwari and Shao-Qiu He and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Fields of papers citing papers by Yun Guan

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 Yun Guan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yun Guan may publish in the future.

Countries citing papers authored by Yun Guan

Since Specialization
Citations

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

Rankless by CCL
2025