Neeladri Sen

About

Neeladri Sen is a scholar working on Molecular Biology, Materials Chemistry and Infectious Diseases. According to data from OpenAlex, Neeladri Sen has authored 17 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Infectious Diseases. Recurrent topics in Neeladri Sen’s work include Protein Structure and Dynamics (8 papers), Machine Learning in Bioinformatics (5 papers) and Enzyme Structure and Function (4 papers). Neeladri Sen is often cited by papers focused on Protein Structure and Dynamics (8 papers), Machine Learning in Bioinformatics (5 papers) and Enzyme Structure and Function (4 papers). Neeladri Sen collaborates with scholars based in United Kingdom, India and Malaysia. Neeladri Sen's co-authors include Christine Orengo, Vaishali Waman, Ian Sillitoe, Nicola Bordin and M. S. Madhusudhan and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Neeladri Sen

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

Countries citing papers authored by Neeladri Sen

Since Specialization

Citations

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

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