Anirban Mukhopadhyay

117 papers and 2.5k indexed citations i.

About

Anirban Mukhopadhyay is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anirban Mukhopadhyay has authored 117 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 27 papers in Artificial Intelligence and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anirban Mukhopadhyay’s work include Bioinformatics and Genomic Networks (40 papers), Gene expression and cancer classification (35 papers) and Machine Learning in Bioinformatics (17 papers). Anirban Mukhopadhyay is often cited by papers focused on Bioinformatics and Genomic Networks (40 papers), Gene expression and cancer classification (35 papers) and Machine Learning in Bioinformatics (17 papers). Anirban Mukhopadhyay collaborates with scholars based in India, Germany and France. Anirban Mukhopadhyay's co-authors include Ujjwal Maulik, Sanghamitra Bandyopadhyay, Carlos A. Coello Coello, Sanghamitra Bandyopadhyay, Saurav Mallik, Lopamudra Dey, Sumanta Ray, Stefan Zachow, Alexander Tack and Sanjay Chakraborty and has published in prestigious journals such as New England Journal of Medicine, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Anirban Mukhopadhyay i

Fields of papers citing papers by Anirban Mukhopadhyay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anirban Mukhopadhyay

Since Specialization
Citations

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