Sayantan Mitra

39 total papers · 448 total citations
24 papers, 380 citations indexed

About

Sayantan Mitra is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sayantan Mitra has authored 24 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sayantan Mitra's work include Protein Tyrosine Phosphatases (5 papers), Glycosylation and Glycoproteins Research (5 papers) and Parallel Computing and Optimization Techniques (4 papers). Sayantan Mitra is often cited by papers focused on Protein Tyrosine Phosphatases (5 papers), Glycosylation and Glycoproteins Research (5 papers) and Parallel Computing and Optimization Techniques (4 papers). Sayantan Mitra collaborates with scholars based in India, United States and Ireland. Sayantan Mitra's co-authors include Sriparna Saha, Amy Barrios, Mohammed Hasanuzzaman, Maurizio Pellecchia, John L. Stebbins, Elena B. Pasquale, Ziming Zhang, Roberta Noberini, Russell Dahl and William J. Placzek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Sayantan Mitra

24 papers receiving 374 citations

Author Peers

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

Author						Papers	Cites
Sayantan Mitra	195	71	66	49	43	24	380
Georg Wiese	147 0.8×	24 0.3×	134 2.0×	54 1.1×	61 1.4×	9	430
Trias Thireou	194 1.0×	120 1.7×	33 0.5×	41 0.8×	29 0.7×	38	443
Jie Hua	166 0.9×	13 0.2×	30 0.5×	59 1.2×	20 0.5×	30	415
Hongcheng Mai	138 0.7×	21 0.3×	19 0.3×	24 0.5×	25 0.6×	21	343
Sezen Vatansever	240 1.2×	24 0.3×	22 0.3×	27 0.6×	26 0.6×	11	438
Chao Lou	184 0.9×	10 0.1×	56 0.8×	53 1.1×	65 1.5×	41	392
Shouchun Chen	67 0.3×	69 1.0×	73 1.1×	13 0.3×	14 0.3×	14	370
Zhengzheng Liu	178 0.9×	6 0.1×	35 0.5×	64 1.3×	83 1.9×	19	399
Pia Hönscheid	230 1.2×	45 0.6×	18 0.3×	106 2.2×	23 0.5×	16	370
Pankaj K. Singh	94 0.5×	13 0.2×	32 0.5×	50 1.0×	17 0.4×	29	439

Countries citing papers authored by Sayantan Mitra

Since Specialization

Citations

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

Fields of papers citing papers by Sayantan Mitra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayantan Mitra

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