Pingda Ren

About

Pingda Ren is a scholar working on Organic Chemistry, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Pingda Ren has authored 48 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Organic Chemistry, 24 papers in Molecular Biology and 8 papers in Inorganic Chemistry. Recurrent topics in Pingda Ren’s work include PI3K/AKT/mTOR signaling in cancer (12 papers), Asymmetric Hydrogenation and Catalysis (8 papers) and Cyclopropane Reaction Mechanisms (6 papers). Pingda Ren is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (12 papers), Asymmetric Hydrogenation and Catalysis (8 papers) and Cyclopropane Reaction Mechanisms (6 papers). Pingda Ren collaborates with scholars based in United States, China and Switzerland. Pingda Ren's co-authors include Christian Rommel, Lian‐Sheng Li, Huw M. L. Davies, Matthew R. Janes and Michael Martin and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Fields of papers citing papers by Pingda Ren

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

Countries citing papers authored by Pingda Ren

Since Specialization

Citations

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

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