Amit Kumar Banerjee

2.6k total citations
51 papers, 695 citations indexed

About

Amit Kumar Banerjee is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Amit Kumar Banerjee has authored 51 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Infectious Diseases. Recurrent topics in Amit Kumar Banerjee's work include Machine Learning in Bioinformatics (8 papers), Protein Structure and Dynamics (7 papers) and Ubiquitin and proteasome pathways (5 papers). Amit Kumar Banerjee is often cited by papers focused on Machine Learning in Bioinformatics (8 papers), Protein Structure and Dynamics (7 papers) and Ubiquitin and proteasome pathways (5 papers). Amit Kumar Banerjee collaborates with scholars based in India, United States and Germany. Amit Kumar Banerjee's co-authors include Neelima Arora, Vincent Chau, Upadhyayula Suryanarayana Murty, Luisa Gregori, Yajun Xu, U. S. N. Murty, Raymond Novak, Sunil Palchaudhuri, Myron A. Leon and Thomas A. Kocarek and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Proteins Structure Function and Bioinformatics.

In The Last Decade

Amit Kumar Banerjee

46 papers receiving 628 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amit Kumar Banerjee India 14 390 73 70 58 53 51 695
Chih-Chieh Chen Taiwan 15 508 1.3× 38 0.5× 42 0.6× 72 1.2× 49 0.9× 41 896
Tao Cui United States 11 424 1.1× 35 0.5× 49 0.7× 40 0.7× 61 1.2× 19 639
Sajib Chakraborty Bangladesh 16 525 1.3× 26 0.4× 98 1.4× 92 1.6× 30 0.6× 60 992
Kalaiarasan Ponnusamy India 18 519 1.3× 48 0.7× 88 1.3× 108 1.9× 27 0.5× 78 1.0k
Yoshio Nakatani New Zealand 15 576 1.5× 83 1.1× 86 1.2× 112 1.9× 62 1.2× 49 869
Dwijendra K. Gupta India 15 404 1.0× 68 0.9× 52 0.7× 94 1.6× 20 0.4× 37 783
M. Álvaro Berbís Spain 16 378 1.0× 42 0.6× 57 0.8× 23 0.4× 29 0.5× 32 722
Pål Puntervoll Norway 19 768 2.0× 85 1.2× 76 1.1× 39 0.7× 54 1.0× 42 1.3k
Peter Hönigschmid Germany 8 435 1.1× 48 0.7× 26 0.4× 48 0.8× 17 0.3× 9 650
Christine Hoogland Switzerland 21 1.0k 2.7× 93 1.3× 38 0.5× 64 1.1× 26 0.5× 48 1.5k

Countries citing papers authored by Amit Kumar Banerjee

Since Specialization
Citations

This map shows the geographic impact of Amit Kumar 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 Amit Kumar Banerjee 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 Banerjee more than expected).

Fields of papers citing papers by Amit Kumar Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Banerjee. A scholar is included among the top collaborators of Amit Kumar 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 Amit Kumar Banerjee. Amit Kumar Banerjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Arora, Neelima, et al.. (2024). Molecular docking analysis of shatavarins with female hormonal receptors. Bioinformation. 20(7). 775–780. 2 indexed citations
2.
3.
Banerjee, Amit Kumar, et al.. (2020). Role of Cannabis in the Incidence of Myocardial Infarction: A Review. Cureus. 12(10). e11097–e11097. 5 indexed citations
4.
Banerjee, Amit Kumar, et al.. (2020). Neuroplasticity Improves Bipolar Disorder: A Review. Cureus. 12(10). e11241–e11241. 11 indexed citations
5.
Banerjee, Amit Kumar, et al.. (2013). Application of Intelligent Techniques for Classification of Bacteria Using Protein Sequence-Derived Features. Applied Biochemistry and Biotechnology. 170(6). 1263–1281. 7 indexed citations
6.
Arora, Naresh & Amit Kumar Banerjee. (2012). Targeting Tuberculosis: A Glimpse of Promising Drug Targets. Mini-Reviews in Medicinal Chemistry. 12(3). 187–201. 5 indexed citations
7.
Arora, Neelima & Amit Kumar Banerjee. (2010). Emerging Trends, Challenges and Prospects in Healthcare in India. Electronic journal of biology. 6(2). 2 indexed citations
8.
Arora, Neelima, Amit Kumar Banerjee, & U. S. N. Murty. (2010). Homology model of 2C-methyl-d-erythritol 2, 4-cyclodiphosphate (MECP) synthase of Plasmodiumfalciparum 3D7. Electronic journal of biology. 6(2). 1 indexed citations
9.
Banerjee, Amit Kumar, et al.. (2010). Classification and clustering analysis of pyruvate dehydrogenase enzyme based on their physicochemical properties. Bioinformation. 4(10). 456–462. 3 indexed citations
10.
Arora, Neelima, Amit Kumar Banerjee, & Upadhyayula Suryanarayana Murty. (2010). In silico characterization of Shikimate Kinase of Shigella flexneri: A potential drug target. Interdisciplinary Sciences Computational Life Sciences. 2(3). 280–290. 8 indexed citations
11.
Arora, Neelima, et al.. (2009). Comparative characterization of commercially important xylanase enzymes. Bioinformation. 3(10). 446–453. 17 indexed citations
12.
Banerjee, Amit Kumar, Neelima Arora, & U. S. N. Murty. (2008). Classification and Regression Tree (CART) Analysis forDeriving Variable Importance of Parameters InfluencingAverage Flexibility of CaMK Kinase Family. Electronic journal of biology. 4(1). 15 indexed citations
13.
Banerjee, Amit Kumar, et al.. (2008). Classification and identification of mosquito species using artificial neural networks. Computational Biology and Chemistry. 32(6). 442–447. 23 indexed citations
14.
Banerjee, Amit Kumar, et al.. (2007). How Far is ITS2 Reliable as a Phylogenetic Marker for the Mosquito genera. Electronic journal of biology. 3(3). 117009–117009. 6 indexed citations
15.
Winn, Peter J., Tomasz L. Religa, James N. D. Battey, Amit Kumar Banerjee, & Rebecca C. Wade. (2004). Determinants of Functionality in the Ubiquitin Conjugating Enzyme Family. Structure. 12(9). 1563–1574. 49 indexed citations
16.
Banerjee, Amit Kumar & Rebecca C. Wade. (2002). Elusive recognition determinants for ubiquitination. Journal of Molecular Recognition. 15(1). 3–5. 4 indexed citations
17.
Banerjee, Amit Kumar, Thomas A. Kocarek, & Raymond Novak. (2000). Identification of a Ubiquitination-Target/Substrate-Interaction Domain of Cytochrome P-450 (CYP) 2E1. Drug Metabolism and Disposition. 28(2). 118–124. 38 indexed citations
18.
Banerjee, Amit Kumar, et al.. (1992). Growth regulation of the mammalian ocular lens by vitreous humor. Journal of Cellular Biochemistry. 49(1). 66–73. 2 indexed citations
19.
Banerjee, Amit Kumar, et al.. (1991). Studies on the possible role of vitreous humor on protein synthesis and morphology of organ cultured adult rabbit lens. II. Epithelial cells. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1076(3). 330–336. 2 indexed citations
20.
Chuba, Paul J., Myron A. Leon, Amit Kumar Banerjee, & Sunil Palchaudhuri. (1989). Cloning and DNA sequence of plasmid determinant iss, coding for increased serum survival and surface exclusion, which has homology with lambda DNA. Molecular and General Genetics MGG. 216(2-3). 287–292. 50 indexed citations

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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