Sayali Mukherjee

49 total papers · 523 total citations
31 papers, 384 citations indexed

About

Sayali Mukherjee is a scholar working on Cancer Research, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Sayali Mukherjee has authored 31 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Molecular Biology and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Sayali Mukherjee's work include Air Quality and Health Impacts (6 papers), Oral Health Pathology and Treatment (3 papers) and Energy and Environment Impacts (3 papers). Sayali Mukherjee is often cited by papers focused on Air Quality and Health Impacts (6 papers), Oral Health Pathology and Treatment (3 papers) and Energy and Environment Impacts (3 papers). Sayali Mukherjee collaborates with scholars based in India, United Arab Emirates and United States. Sayali Mukherjee's co-authors include Twisha Lahiri, Shabana Siddique, Sanghita Roychoudhury, Manas Ranjan Ray, Garima Yadav, Madhuchanda Banerjee, Rajnish Kumar, Mohua Banerjee, Pathikrit Bhattacharya and Nandan K. Mondal and has published in prestigious journals such as Biochimica et Biophysica Acta (BBA) - General Subjects, Toxicology and Applied Pharmacology and Journal of Cellular Biochemistry.

In The Last Decade

Sayali Mukherjee

27 papers receiving 366 citations

Author Peers

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

Author Last Decade Papers Cites
Sayali Mukherjee 186 99 70 49 46 31 384
Astrid Reus 167 0.9× 85 0.9× 25 0.4× 60 1.2× 65 1.4× 19 444
Deepa Gandhi 129 0.7× 97 1.0× 54 0.8× 35 0.7× 70 1.5× 32 411
P. K. Kulkarni 217 1.2× 135 1.4× 63 0.9× 27 0.6× 31 0.7× 16 371
D J Parikh 212 1.1× 141 1.4× 23 0.3× 33 0.7× 35 0.8× 17 413
Sanghita Roychoudhury 228 1.2× 126 1.3× 70 1.0× 23 0.5× 26 0.6× 13 442
Yoko Eitaki 226 1.2× 87 0.9× 28 0.4× 37 0.8× 41 0.9× 22 403
Xingjie Li 139 0.7× 81 0.8× 63 0.9× 38 0.8× 87 1.9× 22 400
Małgorzata Dębiak 164 0.9× 80 0.8× 78 1.1× 47 1.0× 84 1.8× 25 427
María Maldonado-Vega 175 0.9× 103 1.0× 60 0.9× 16 0.3× 38 0.8× 26 385
Balram S. Pangtey 201 1.1× 90 0.9× 83 1.2× 47 1.0× 25 0.5× 21 393

Countries citing papers authored by Sayali Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Sayali Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayali Mukherjee

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