Sujata Chakraborty

17 papers and 517 indexed citations i.

About

Sujata Chakraborty is a scholar working on Molecular Biology, Hematology and Computational Theory and Mathematics. According to data from OpenAlex, Sujata Chakraborty has authored 17 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Hematology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Sujata Chakraborty’s work include Protein Kinase Regulation and GTPase Signaling (5 papers), Computational Drug Discovery Methods (3 papers) and Protein Structure and Dynamics (3 papers). Sujata Chakraborty is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Computational Drug Discovery Methods (3 papers) and Protein Structure and Dynamics (3 papers). Sujata Chakraborty collaborates with scholars based in United States, Saudi Arabia and Australia. Sujata Chakraborty's co-authors include Ravi Bhatia, Tinisha McDonald, Qin Huang, Su Chu, David S. Snyder, Allen Lin, Can‐Lan Sun, Stephen J. Forman, Dustin J. Maly and Melanie Sabado and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Blood.

In The Last Decade

Co-authorship network of co-authors of Sujata Chakraborty i

Fields of papers citing papers by Sujata Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sujata Chakraborty

Since Specialization
Citations

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