Li Di
About
Li Di is a scholar working on Pharmacology, Molecular Biology and Oncology.
According to data from OpenAlex, Li Di has authored 172 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Pharmacology, 56 papers in Molecular Biology and 55 papers in Oncology. Recurrent topics in Li Di’s work include Pharmacogenetics and Drug Metabolism (66 papers), Drug Transport and Resistance Mechanisms (51 papers) and Computational Drug Discovery Methods (31 papers). Li Di is often cited by papers focused on Pharmacogenetics and Drug Metabolism (66 papers), Drug Transport and Resistance Mechanisms (51 papers) and Computational Drug Discovery Methods (31 papers). Li Di collaborates with scholars based in United States, China and United Kingdom. Li Di's co-authors include Edward H. Kerns, Keith Riccardi, Sangwoo Ryu, David A. Tess and Jian Lin and has published in prestigious journals such as Journal of the American Chemical Society, Neurology and Nature Reviews Drug Discovery.
In The Last Decade
Fields of papers citing papers by Li Di
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 Li Di. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Li Di may publish in the future.
Countries citing papers authored by Li Di
Since SpecializationCitations
This map shows the geographic impact of Li Di'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 Li Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Di more than expected).
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