Pradipta Banerjee

44 total papers · 509 total citations
29 papers, 359 citations indexed

About

Pradipta Banerjee is a scholar working on Molecular Biology, Biomaterials and Animal Science and Zoology. According to data from OpenAlex, Pradipta Banerjee has authored 29 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Biomaterials and 7 papers in Animal Science and Zoology. Recurrent topics in Pradipta Banerjee's work include Protein Hydrolysis and Bioactive Peptides (12 papers), Collagen: Extraction and Characterization (11 papers) and Meat and Animal Product Quality (5 papers). Pradipta Banerjee is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (12 papers), Collagen: Extraction and Characterization (11 papers) and Meat and Animal Product Quality (5 papers). Pradipta Banerjee collaborates with scholars based in India and United States. Pradipta Banerjee's co-authors include C. Shanthi, Alka Mehta, Robert C. Bates, Sankar Mitra, Deb Prasad Ray, N. K. Chandra Babu, Pratik Satya, Rakesh Kumar Ghosh, Pabitra Kumar Biswas⃰ and Soma Mitra and has published in prestigious journals such as Journal of Molecular Biology, Journal of Virology and Journal of General Virology.

In The Last Decade

Pradipta Banerjee

28 papers receiving 347 citations

Author Peers

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

Author Last Decade Papers Cites
Pradipta Banerjee 177 151 99 60 52 29 359
Tianyi Zhong 81 0.5× 136 0.9× 57 0.6× 34 0.6× 56 1.1× 16 356
Kjersti Julin 92 0.5× 80 0.5× 39 0.4× 14 0.2× 42 0.8× 13 336
Alessandra Roseline VIDAL 224 1.3× 84 0.6× 80 0.8× 18 0.3× 38 0.7× 12 402
Xiujun Tang 141 0.8× 18 0.1× 51 0.5× 19 0.3× 78 1.5× 62 372
Bizunesh Mideksa Borena 67 0.4× 81 0.5× 21 0.2× 12 0.2× 31 0.6× 21 401
Mayukh Ghosh 85 0.5× 67 0.4× 19 0.2× 28 0.5× 84 1.6× 30 362
Grzegorz Gorczyca 85 0.5× 135 0.9× 9 0.1× 23 0.4× 79 1.5× 10 353
P. R. Sweeny 116 0.7× 33 0.2× 42 0.4× 48 0.8× 16 0.3× 23 334
Pan Chen 150 0.8× 12 0.1× 75 0.8× 25 0.4× 21 0.4× 33 369
Yaling He 71 0.4× 34 0.2× 19 0.2× 11 0.2× 22 0.4× 34 348

Countries citing papers authored by Pradipta Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Pradipta Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradipta Banerjee

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