Soumita Mukherjee

34 total papers · 552 total citations
20 papers, 450 citations indexed

About

Soumita Mukherjee is a scholar working on Organic Chemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, Soumita Mukherjee has authored 20 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Organic Chemistry, 8 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Soumita Mukherjee's work include Synthesis and Biological Evaluation (4 papers), Receptor Mechanisms and Signaling (3 papers) and Multicomponent Synthesis of Heterocycles (3 papers). Soumita Mukherjee is often cited by papers focused on Synthesis and Biological Evaluation (4 papers), Receptor Mechanisms and Signaling (3 papers) and Multicomponent Synthesis of Heterocycles (3 papers). Soumita Mukherjee collaborates with scholars based in India, Singapore and United States. Soumita Mukherjee's co-authors include Manojit Pal, Subrata Dasgupta, G. Rajeshwar Reddy, Sujit S. Panja, Girdhar Singh Deora, K. Mukkanti, Utpal Adhikari, Sarva Jayaprakash, Kishore V. L. Parsa and Akula Raghunadh and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Sensors and Actuators B Chemical.

In The Last Decade

Soumita Mukherjee

20 papers receiving 444 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Soumita Mukherjee 308 157 46 38 31 20 450
R.A. Valiulin 402 1.3× 159 1.0× 31 0.7× 50 1.3× 31 1.0× 23 503
R. Gericke 342 1.1× 162 1.0× 107 2.3× 42 1.1× 36 1.2× 15 526
David L. Varie 279 0.9× 117 0.7× 59 1.3× 20 0.5× 59 1.9× 19 491
Shane A. Eisenbeis 231 0.8× 193 1.2× 27 0.6× 24 0.6× 18 0.6× 18 463
David M. Hollinshead 320 1.0× 119 0.8× 42 0.9× 26 0.7× 34 1.1× 17 449
Mohit Sanduja 283 0.9× 114 0.7× 47 1.0× 20 0.5× 12 0.4× 26 439
Matthias Hochgürtel 313 1.0× 208 1.3× 55 1.2× 22 0.6× 41 1.3× 11 431
William J. Welstead 347 1.1× 120 0.8× 65 1.4× 20 0.5× 29 0.9× 29 492
Erbay Kalay 197 0.6× 156 1.0× 59 1.3× 47 1.2× 15 0.5× 32 405
Max M. Marsh 138 0.4× 185 1.2× 76 1.7× 30 0.8× 47 1.5× 26 434

Countries citing papers authored by Soumita Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Soumita Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soumita Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Soumita Mukherjee. A scholar is included among the top collaborators of Soumita Mukherjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Soumita Mukherjee. Soumita Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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