Rajat Kumar Jha

16 papers and 413 indexed citations i.

About

Rajat Kumar Jha is a scholar working on Molecular Biology, Computational Theory and Mathematics and Molecular Medicine. According to data from OpenAlex, Rajat Kumar Jha has authored 16 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 9 papers in Molecular Medicine. Recurrent topics in Rajat Kumar Jha’s work include Computational Drug Discovery Methods (10 papers), Antibiotic Resistance in Bacteria (9 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Rajat Kumar Jha is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Antibiotic Resistance in Bacteria (9 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Rajat Kumar Jha collaborates with scholars based in India, United States and Ethiopia. Rajat Kumar Jha's co-authors include Amit Kumar Singh, Rameez Jabeer Khan, Jayaraman Muthukumaran, Gizachew Muluneh Amera, Monika Jain, Ekampreet Singh, Rashmi Prabha Singh, Amita Pathak, Ankit Kumar and Yaman Kumar and has published in prestigious journals such as Microbial Pathogenesis, Journal of Biomolecular Structure and Dynamics and Journal of Molecular Modeling.

In The Last Decade

Co-authorship network of co-authors of Rajat Kumar Jha i

Fields of papers citing papers by Rajat Kumar Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajat Kumar Jha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rajat Kumar Jha. The network helps show where Rajat Kumar Jha may publish in the future.

Countries citing papers authored by Rajat Kumar Jha

Since Specialization
Citations

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

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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