Ting Ran
About
Ting Ran is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology.
According to data from OpenAlex, Ting Ran has authored 56 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 18 papers in Computational Theory and Mathematics and 10 papers in Oncology. Recurrent topics in Ting Ran’s work include Computational Drug Discovery Methods (18 papers), Protein Degradation and Inhibitors (11 papers) and Protein Structure and Dynamics (6 papers). Ting Ran is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Protein Degradation and Inhibitors (11 papers) and Protein Structure and Dynamics (6 papers). Ting Ran collaborates with scholars based in China, United States and Australia. Ting Ran's co-authors include Haichun Liu, Yadong Chen, Tao Lu, Shuai Lü and Haoliang Yuan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
In The Last Decade
Fields of papers citing papers by Ting Ran
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 Ting Ran. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ting Ran may publish in the future.
Countries citing papers authored by Ting Ran
Since SpecializationCitations
This map shows the geographic impact of Ting Ran'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 Ting Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Ran more than expected).
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