Shibani Mukherjee

48 total papers · 3.5k total citations
35 papers, 2.0k citations indexed

About

Shibani Mukherjee is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Physiology. According to data from OpenAlex, Shibani Mukherjee has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Endocrine and Autonomic Systems and 8 papers in Physiology. Recurrent topics in Shibani Mukherjee's work include DNA Repair Mechanisms (8 papers), Circadian rhythm and melatonin (7 papers) and Cancer-related Molecular Pathways (5 papers). Shibani Mukherjee is often cited by papers focused on DNA Repair Mechanisms (8 papers), Circadian rhythm and melatonin (7 papers) and Cancer-related Molecular Pathways (5 papers). Shibani Mukherjee collaborates with scholars based in United States, India and Japan. Shibani Mukherjee's co-authors include Aroumougame Asaithamby, Colleen A. McClung, Susan E. Conrad, Salim Abdisalaam, Edgardo Falcón, Souparno Bhattacharya, Shari G. Birnbaum, Sade Spencer, Angela R. Ozburn and Jaswinder Kumar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Shibani Mukherjee

35 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Shibani Mukherjee 829 477 364 301 284 35 2.0k
Baptiste Lacoste 1.0k 1.2× 384 0.8× 207 0.6× 525 1.7× 274 1.0× 49 3.0k
Victoria Akerstrom 566 0.7× 827 1.7× 206 0.6× 422 1.4× 287 1.0× 37 2.2k
Erin M. Gibson 621 0.7× 342 0.7× 131 0.4× 235 0.8× 352 1.2× 32 3.0k
Debora Angeloni 1.4k 1.7× 735 1.5× 166 0.5× 487 1.6× 307 1.1× 60 2.8k
Reiko Hanada 886 1.1× 1.3k 2.6× 561 1.5× 570 1.9× 365 1.3× 42 2.7k
Alex G. Lee 477 0.6× 595 1.2× 88 0.2× 241 0.8× 251 0.9× 38 1.9k
Jesús Lascorz 446 0.5× 314 0.7× 137 0.4× 333 1.1× 182 0.6× 25 1.7k
Oliver Selbach 732 0.9× 788 1.7× 249 0.7× 263 0.9× 742 2.6× 23 2.7k
Ling Shan 853 1.0× 254 0.5× 575 1.6× 146 0.5× 405 1.4× 99 2.6k
Tilat A. Rizvi 775 0.9× 230 0.5× 194 0.5× 257 0.9× 285 1.0× 53 3.0k

Countries citing papers authored by Shibani Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Shibani Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibani Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Shibani Mukherjee. A scholar is included among the top collaborators of Shibani 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 Shibani Mukherjee. Shibani 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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