Vinita Periwal

12 papers and 297 indexed citations i.

About

Vinita Periwal is a scholar working on Molecular Biology, Computational Theory and Mathematics and Epidemiology. According to data from OpenAlex, Vinita Periwal has authored 12 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Epidemiology. Recurrent topics in Vinita Periwal’s work include Computational Drug Discovery Methods (4 papers), Machine Learning in Bioinformatics (3 papers) and Tuberculosis Research and Epidemiology (3 papers). Vinita Periwal is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Machine Learning in Bioinformatics (3 papers) and Tuberculosis Research and Epidemiology (3 papers). Vinita Periwal collaborates with scholars based in India, United Kingdom and Germany. Vinita Periwal's co-authors include Vinod Scaria, Salma Jamal, Mukesh Kumar, T.P. Singh, Sujata Sharma, Divya Dube, Punit Kaur, Meghna Singh, Sergej Andrejev and Ashok Patowary and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Vinita Periwal i

Fields of papers citing papers by Vinita Periwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vinita Periwal

Since Specialization
Citations

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