Rashmi Kumari

19 papers and 3.6k indexed citations i.

About

Rashmi Kumari is a scholar working on Molecular Biology, Neurology and Artificial Intelligence. According to data from OpenAlex, Rashmi Kumari has authored 19 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Neurology and 3 papers in Artificial Intelligence. Recurrent topics in Rashmi Kumari’s work include Brain Tumor Detection and Classification (4 papers), Computational Drug Discovery Methods (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Rashmi Kumari is often cited by papers focused on Brain Tumor Detection and Classification (4 papers), Computational Drug Discovery Methods (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Rashmi Kumari collaborates with scholars based in India, Sweden and Kenya. Rashmi Kumari's co-authors include Andrew M. Lynn, Rajendra Kumar, Abhijit Kakati, R. Nagarajan, Jitendra S. Sangwai, Nimisha Sharma, Kelath Murali Manoj, Daniel Andrew Gideon, Sugato Banerjee and Suparna Roy Sarkar and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling and The Journal of Nutritional Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Rashmi Kumari i

Fields of papers citing papers by Rashmi Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rashmi Kumari

Since Specialization
Citations

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