Sharad Verma

22 papers and 755 indexed citations i.

About

Sharad Verma is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Sharad Verma has authored 22 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Sharad Verma’s work include Computational Drug Discovery Methods (7 papers), Cancer-related Molecular Pathways (4 papers) and Cell death mechanisms and regulation (3 papers). Sharad Verma is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Cancer-related Molecular Pathways (4 papers) and Cell death mechanisms and regulation (3 papers). Sharad Verma collaborates with scholars based in India, United States and Germany. Sharad Verma's co-authors include Abha Mishra, Amit Singh, Aditi Singh, Abhinav Grover, Sukriti Goyal, Salma Jamal, Chetna Tyagi, Anil Kumar Tripathi, Soumitra Paul Chowdhury and G. Misra and has published in prestigious journals such as PLoS ONE, Cancer Research and Gene.

In The Last Decade

Co-authorship network of co-authors of Sharad Verma i

Fields of papers citing papers by Sharad Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sharad Verma

Since Specialization
Citations

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