Pralay Mitra

597 total citations
38 papers, 422 citations indexed

About

Pralay Mitra is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Pralay Mitra has authored 38 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 8 papers in Materials Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in Pralay Mitra's work include Protein Structure and Dynamics (16 papers), RNA and protein synthesis mechanisms (9 papers) and Enzyme Structure and Function (8 papers). Pralay Mitra is often cited by papers focused on Protein Structure and Dynamics (16 papers), RNA and protein synthesis mechanisms (9 papers) and Enzyme Structure and Function (8 papers). Pralay Mitra collaborates with scholars based in India, United States and Israel. Pralay Mitra's co-authors include Debnath Pal, Yang Zhang, Anupam Banerjee, David Shultis, Mahitosh Mandal, Y. Rajesh, Angana Biswas, S. Mukherjee, Tomasz Cierpicki and Jeffrey J. Czajka and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Pralay Mitra

38 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pralay Mitra India 13 311 69 69 31 26 38 422
Matthieu Chartier Canada 7 326 1.0× 53 0.8× 116 1.7× 28 0.9× 12 0.5× 9 411
Leon Bichmann Germany 8 274 0.9× 41 0.6× 88 1.3× 18 0.6× 49 1.9× 14 357
Yan Yuan Tseng United States 14 441 1.4× 106 1.5× 73 1.1× 45 1.5× 16 0.6× 37 548
Siqi Liang United States 10 437 1.4× 67 1.0× 143 2.1× 39 1.3× 25 1.0× 16 532
Rachael C. Kretsch United States 9 419 1.3× 60 0.9× 33 0.5× 62 2.0× 20 0.8× 17 641
Megan Egbert United States 8 254 0.8× 32 0.5× 130 1.9× 27 0.9× 18 0.7× 11 364
Lijun Quan China 10 421 1.4× 35 0.5× 82 1.2× 21 0.7× 53 2.0× 29 543
Steven J. Darnell United States 4 239 0.8× 74 1.1× 81 1.2× 12 0.4× 15 0.6× 7 297
Pemra Özbek Türkiye 10 281 0.9× 36 0.5× 56 0.8× 11 0.4× 56 2.2× 39 419
Mohan Rao United States 7 215 0.7× 32 0.5× 153 2.2× 15 0.5× 47 1.8× 13 446

Countries citing papers authored by Pralay Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Pralay Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pralay Mitra

This figure shows the co-authorship network connecting the top 25 collaborators of Pralay Mitra. A scholar is included among the top collaborators of Pralay Mitra 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 Pralay Mitra. Pralay Mitra 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.
Sarkar, Siddik, et al.. (2024). The molecular prognostic score, a classifier for risk stratification of high-grade serous ovarian cancer. Journal of Ovarian Research. 17(1). 159–159. 2 indexed citations
2.
Sarkar, Poulomi, et al.. (2023). Genome surveillance of SARS-CoV-2 variants and their role in pathogenesis focusing on second wave of COVID-19 in India. Scientific Reports. 13(1). 4692–4692. 6 indexed citations
3.
Mitra, Pralay, et al.. (2023). MaTPIP: A deep-learning architecture with eXplainable AI for sequence-driven, feature mixed protein-protein interaction prediction. Computer Methods and Programs in Biomedicine. 244. 107955–107955. 10 indexed citations
4.
Das, Subhayan, Moumita Kundu, Aditya Parekh, et al.. (2023). A novel computational predictive biological approach distinguishes Integrin β1 as a salient biomarker for breast cancer chemoresistance. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1869(6). 166702–166702. 6 indexed citations
5.
Biswas, Angana, Y. Rajesh, Subhayan Das, et al.. (2022). Therapeutic targeting of RBPJ, an upstream regulator of ETV6 gene, abrogates ETV6-NTRK3 fusion gene transformations in glioblastoma. Cancer Letters. 544. 215811–215811. 8 indexed citations
6.
Das, B.N. & Pralay Mitra. (2021). Protein Interaction Network-based Deep Learning Framework for Identifying Disease-Associated Human Proteins. Journal of Molecular Biology. 433(19). 167149–167149. 4 indexed citations
7.
Pal, Debnath, et al.. (2021). A computational framework for modeling functional protein‐protein interactions. Proteins Structure Function and Bioinformatics. 89(10). 1353–1364. 3 indexed citations
8.
Biswas, Angana, Y. Rajesh, Pralay Mitra, & Mahitosh Mandal. (2020). ETV6 gene aberrations in non-haematological malignancies: A review highlighting ETV6 associated fusion genes in solid tumors. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1874(1). 188389–188389. 17 indexed citations
9.
Banerjee, Anupam, Yaakov Levy, & Pralay Mitra. (2019). Analyzing Change in Protein Stability Associated with Single Point Deletions in a Newly Defined Protein Structure Database. Journal of Proteome Research. 18(3). 1402–1410. 9 indexed citations
10.
Shultis, David, Pralay Mitra, Xiaoqiang Huang, et al.. (2019). Changing the Apoptosis Pathway through Evolutionary Protein Design. Journal of Molecular Biology. 431(4). 825–841. 14 indexed citations
11.
Rajesh, Y., Anupam Banerjee, Ipsita Pal, et al.. (2019). Delineation of crosstalk between HSP27 and MMP-2/MMP-9: A synergistic therapeutic avenue for glioblastoma management. Biochimica et Biophysica Acta (BBA) - General Subjects. 1863(7). 1196–1209. 32 indexed citations
12.
Mitra, Pralay, et al.. (2018). Bacterial flagellar switching: a molecular mechanism directed by the logic of an electric motor. Journal of Molecular Modeling. 24(10). 280–280. 2 indexed citations
13.
Banerjee, Anupam, et al.. (2017). Ebolavirus interferon antagonists—protein interaction perspectives to combat pathogenesis. Briefings in Functional Genomics. 17(6). 392–401. 6 indexed citations
14.
Mitra, Pralay, David Shultis, Jeffrey Brender, et al.. (2013). An Evolution-Based Approach to De Novo Protein Design and Case Study on Mycobacterium tuberculosis. PLoS Computational Biology. 9(10). e1003298–e1003298. 47 indexed citations
15.
Mukherjee, S., et al.. (2012). How Many Protein-Protein Interactions Types Exist in Nature?. PLoS ONE. 7(6). e38913–e38913. 27 indexed citations
16.
Mitra, Pralay & Debnath Pal. (2011). PRUNE and PROBE--two modular web services for protein-protein docking. Nucleic Acids Research. 39(suppl). W229–W234. 10 indexed citations
17.
Mitra, Pralay & Debnath Pal. (2010). dockYard–a repository to assist modeling of protein-protein docking. Journal of Molecular Modeling. 17(3). 599–606. 3 indexed citations
18.
Mitra, Pralay & Debnath Pal. (2010). Using correlated parameters for improved ranking of protein–protein docking decoys. Journal of Computational Chemistry. 32(5). 787–796. 14 indexed citations
19.
Mitra, Pralay & Debnath Pal. (2010). New measures for estimating surface complementarity and packing at protein–protein interfaces. FEBS Letters. 584(6). 1163–1168. 22 indexed citations
20.
Mitra, Pralay, et al.. (2004). A graph theoretic approach to minimize total wire length in channel routing. 2. 414–418. 4 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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