Priyanka Sharma

92 papers and 1.2k indexed citations i.

About

Priyanka Sharma is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Priyanka Sharma has authored 92 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 20 papers in Infectious Diseases and 17 papers in Computational Theory and Mathematics. Recurrent topics in Priyanka Sharma’s work include Computational Drug Discovery Methods (17 papers), Antibiotic Resistance in Bacteria (14 papers) and Salmonella and Campylobacter epidemiology (14 papers). Priyanka Sharma is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Antibiotic Resistance in Bacteria (14 papers) and Salmonella and Campylobacter epidemiology (14 papers). Priyanka Sharma collaborates with scholars based in India, United States and Saudi Arabia. Priyanka Sharma's co-authors include Subhash Chandra, Tushar Joshi, Tanuja Joshi, Arti Kapil, Shalini Mathpal, B. Jayaram, Alka Gupta, Sushma Tamta, Punit Kaur and Veena Pande and has published in prestigious journals such as Physical Review Letters, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Priyanka Sharma i

Fields of papers citing papers by Priyanka Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Priyanka Sharma. 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 Priyanka Sharma. The network helps show where Priyanka Sharma may publish in the future.

Countries citing papers authored by Priyanka Sharma

Since Specialization
Citations

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