Amit Kumar Chakraborty

83 total papers · 805 total citations
54 papers, 586 citations indexed

About

Amit Kumar Chakraborty is a scholar working on Molecular Biology, Animal Science and Zoology and Plant Science. According to data from OpenAlex, Amit Kumar Chakraborty has authored 54 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Animal Science and Zoology and 8 papers in Plant Science. Recurrent topics in Amit Kumar Chakraborty's work include Animal Virus Infections Studies (8 papers), Animal Disease Management and Epidemiology (6 papers) and Viral Infections and Immunology Research (5 papers). Amit Kumar Chakraborty is often cited by papers focused on Animal Virus Infections Studies (8 papers), Animal Disease Management and Epidemiology (6 papers) and Viral Infections and Immunology Research (5 papers). Amit Kumar Chakraborty collaborates with scholars based in India, United States and Bangladesh. Amit Kumar Chakraborty's co-authors include Ramansu Goswami, Shibani Chaudhury, Anil Kuruvilla Mathew, D. P. CHAKRABORTY, P. Bhattacharyya, Pritam Chattopadhyay, B.K. Chowdhury, Sujata Roy, Srinivasan Balachandran and Bikram Biswas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Cellular and Molecular Life Sciences.

In The Last Decade

Amit Kumar Chakraborty

49 papers receiving 556 citations

Author Peers

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

Author Last Decade Papers Cites
Amit Kumar Chakraborty 139 123 83 72 70 54 586
Qian Wang 188 1.4× 47 0.4× 222 2.7× 18 0.3× 64 0.9× 60 533
Ming‐Huei Liao 237 1.7× 20 0.2× 40 0.5× 18 0.3× 80 1.1× 30 608
Yaodong Hu 237 1.7× 7 0.1× 82 1.0× 60 0.8× 104 1.5× 47 623
Zhihua Feng 214 1.5× 7 0.1× 52 0.6× 36 0.5× 40 0.6× 52 517
Gaurav Mudgal 129 0.9× 13 0.1× 205 2.5× 16 0.2× 134 1.9× 26 506
Yang Liu 168 1.2× 17 0.1× 103 1.2× 56 0.8× 13 0.2× 51 615
Chi‐Yong Eom 235 1.7× 62 0.5× 31 0.4× 164 2.3× 9 0.1× 25 583
Gongtao Ding 190 1.4× 24 0.2× 148 1.8× 99 1.4× 36 0.5× 36 628
Yuanyuan Wang 89 0.6× 24 0.2× 234 2.8× 68 0.9× 52 0.7× 34 526
Muruganantham Bharathi 235 1.7× 53 0.4× 61 0.7× 66 0.9× 11 0.2× 59 517

Countries citing papers authored by Amit Kumar Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kumar Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Kumar Chakraborty. 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 Amit Kumar Chakraborty. The network helps show where Amit Kumar Chakraborty may publish in the future.

Co-authorship network of co-authors of Amit Kumar Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Chakraborty. A scholar is included among the top collaborators of Amit Kumar Chakraborty 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 Amit Kumar Chakraborty. Amit Kumar Chakraborty 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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2026