Anupama Sharma

21 papers and 694 indexed citations i.

About

Anupama Sharma is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Anupama Sharma has authored 21 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 7 papers in Modeling and Simulation and 4 papers in Genetics. Recurrent topics in Anupama Sharma’s work include COVID-19 epidemiological studies (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers) and Evolution and Genetic Dynamics (4 papers). Anupama Sharma is often cited by papers focused on COVID-19 epidemiological studies (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers) and Evolution and Genetic Dynamics (4 papers). Anupama Sharma collaborates with scholars based in India and United States. Anupama Sharma's co-authors include Sunil Kumar, A. K. Misra, Vishal Singh, J.B. Shukla, Chandramani Pathak, Kevin B. Wood, Bhargav N. Waghela, Jia Li, Kishu Ranjan and Avadhesha Surolia and has published in prestigious journals such as PLoS ONE, The ISME Journal and PLoS Computational Biology.

In The Last Decade

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

Fields of papers citing papers by Anupama Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anupama Sharma

Since Specialization
Citations

This map shows the geographic impact of Anupama 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 Anupama Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupama 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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2025