Shilpa Sharma

40 papers and 194 indexed citations i.

About

Shilpa Sharma is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Shilpa Sharma has authored 40 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Theory and Mathematics and 7 papers in Molecular Biology. Recurrent topics in Shilpa Sharma’s work include Computational Drug Discovery Methods (8 papers), Natural product bioactivities and synthesis (3 papers) and Biosynthesis and Engineering of Terpenoids (3 papers). Shilpa Sharma is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Natural product bioactivities and synthesis (3 papers) and Biosynthesis and Engineering of Terpenoids (3 papers). Shilpa Sharma collaborates with scholars based in India. Shilpa Sharma's co-authors include Shashank Deep, Subhash Mohan Agarwal, Linesh Raja, Rajinder Singh Chauhan, Dipto Bhattacharyya, Ashish Sharma, Rakesh Pahwa, Kanchan Kohli, Sandeep Chaurasia and Ravi Saini and has published in prestigious journals such as Genomics, Journal of Biomolecular Structure and Dynamics and Bioorganic Chemistry.

In The Last Decade

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

Fields of papers citing papers by Shilpa Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shilpa Sharma

Since Specialization
Citations

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