Sudeshna Mukherjee

78 total papers · 1.4k total citations
41 papers, 1.1k citations indexed

About

Sudeshna Mukherjee is a scholar working on Aquatic Science, Nutrition and Dietetics and Immunology. According to data from OpenAlex, Sudeshna Mukherjee has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Aquatic Science, 6 papers in Nutrition and Dietetics and 6 papers in Immunology. Recurrent topics in Sudeshna Mukherjee's work include Fish Biology and Ecology Studies (7 papers), Aquaculture Nutrition and Growth (5 papers) and Pomegranate: compositions and health benefits (5 papers). Sudeshna Mukherjee is often cited by papers focused on Fish Biology and Ecology Studies (7 papers), Aquaculture Nutrition and Growth (5 papers) and Pomegranate: compositions and health benefits (5 papers). Sudeshna Mukherjee collaborates with scholars based in India, United States and Spain. Sudeshna Mukherjee's co-authors include Sreya Chattopadhyay, Arghya Adhikary, Sreetama Choudhury, Sayan Ghosh, P. C. Sen Gupta, Saurav Bhattacharya, Sumit Homechaudhuri, Tanya Das, Sanjit Dey and Manisha Ahir and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Cellular and Molecular Life Sciences.

In The Last Decade

Sudeshna Mukherjee

40 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Sudeshna Mukherjee 293 154 106 100 98 41 1.1k
Ashraf M. Abdel‐Moneim 224 0.8× 114 0.7× 71 0.7× 58 0.6× 93 0.9× 52 1.2k
Iyyapu Krishna Mohan 246 0.8× 175 1.1× 78 0.7× 33 0.3× 84 0.9× 38 1.2k
Abdullah A. Alkahtane 214 0.7× 65 0.4× 79 0.7× 56 0.6× 55 0.6× 61 1.1k
Munusamy Arumugam 305 1.0× 72 0.5× 223 2.1× 67 0.7× 73 0.7× 44 1.2k
Munkhtugs Davaatseren 472 1.6× 158 1.0× 64 0.6× 41 0.4× 55 0.6× 28 949
Seung Hee Kim 482 1.6× 62 0.4× 41 0.4× 37 0.4× 64 0.7× 56 1.2k
Saleem H. Aladaileh 315 1.1× 229 1.5× 267 2.5× 63 0.6× 67 0.7× 45 1.2k
Md. Wasim Khan 396 1.4× 209 1.4× 50 0.5× 49 0.5× 94 1.0× 61 1.2k
Ana C. Moreira 477 1.6× 140 0.9× 96 0.9× 84 0.8× 41 0.4× 38 1.4k
Hurng‐Wern Huang 664 2.3× 53 0.3× 61 0.6× 74 0.7× 143 1.5× 47 1.4k

Countries citing papers authored by Sudeshna Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Sudeshna Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudeshna Mukherjee

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