Arabinda Ghosh

106 papers and 1.6k indexed citations i.

About

Arabinda Ghosh is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Arabinda Ghosh has authored 106 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 32 papers in Computational Theory and Mathematics and 14 papers in Plant Science. Recurrent topics in Arabinda Ghosh’s work include Computational Drug Discovery Methods (32 papers), Enzyme Production and Characterization (10 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Arabinda Ghosh is often cited by papers focused on Computational Drug Discovery Methods (32 papers), Enzyme Production and Characterization (10 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Arabinda Ghosh collaborates with scholars based in India, Saudi Arabia and Bangladesh. Arabinda Ghosh's co-authors include Nobendu Mukerjee, Arun Goyal, Debabrat Baishya, Abhijit Dey, Kamal Devlal, Shradha Lakhera, Meenakshi Rana, Swastika Maitra, C.M.G.A. Fontes and Joana L. A. Brás and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Co-authorship network of co-authors of Arabinda Ghosh i

Fields of papers citing papers by Arabinda Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arabinda Ghosh

Since Specialization
Citations

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