Payel Das

78 papers and 2.2k indexed citations i.

About

Payel Das is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Payel Das has authored 78 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 19 papers in Materials Chemistry and 19 papers in Artificial Intelligence. Recurrent topics in Payel Das’s work include Protein Structure and Dynamics (23 papers), Computational Drug Discovery Methods (15 papers) and Enzyme Structure and Function (11 papers). Payel Das is often cited by papers focused on Protein Structure and Dynamics (23 papers), Computational Drug Discovery Methods (15 papers) and Enzyme Structure and Function (11 papers). Payel Das collaborates with scholars based in United States, India and United Kingdom. Payel Das's co-authors include Ruhong Zhou, Cecilia Clementi, Animesh Debnath, Lydia E. Kavraki, Silvina Matysiak, Vijil Chenthamarakshan, Mark Moll, Inkit Padhi, Georges Belfort and Ajay K. Royyuru and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of the American Chemical Society.

In The Last Decade

Co-authorship network of co-authors of Payel Das i

Fields of papers citing papers by Payel Das

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

Countries citing papers authored by Payel Das

Since Specialization
Citations

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

Rankless by CCL
2025