Soma Barman

123 total papers · 1.1k total citations
58 papers, 771 citations indexed

About

Soma Barman is a scholar working on Molecular Biology, Oncology and Electrical and Electronic Engineering. According to data from OpenAlex, Soma Barman has authored 58 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Soma Barman's work include Machine Learning in Bioinformatics (20 papers), Fractal and DNA sequence analysis (20 papers) and RNA and protein synthesis mechanisms (13 papers). Soma Barman is often cited by papers focused on Machine Learning in Bioinformatics (20 papers), Fractal and DNA sequence analysis (20 papers) and RNA and protein synthesis mechanisms (13 papers). Soma Barman collaborates with scholars based in India, Canada and United States. Soma Barman's co-authors include Sanat K. Mandal, Meenal Moudgil, James Davie, Antara Ghosh, Tanya Parish, Jaydeb Bhaumik, Jörg Stetefeld, Jaganmohan R. Jangamreddy, Soumya Panigrahi and Marek Łoś and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Soma Barman

50 papers receiving 751 citations

Author Peers

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

Author						Papers	Cites
Soma Barman	413	109	84	76	70	58	771
Yunyu Chen	242 0.6×	47 0.4×	57 0.7×	44 0.6×	91 1.3×	70	765
Katie J. Simmons	402 1.0×	51 0.5×	103 1.2×	44 0.6×	61 0.9×	39	762
Rodrigo Aguayo‐Ortiz	434 1.1×	101 0.9×	156 1.9×	51 0.7×	35 0.5×	64	762
O.V. Gnedenko	514 1.2×	89 0.8×	76 0.9×	20 0.3×	56 0.8×	76	881
Angshuman Bagchi	491 1.2×	70 0.6×	82 1.0×	19 0.3×	60 0.9×	107	823
Vikas Kumar	262 0.6×	163 1.5×	100 1.2×	46 0.6×	47 0.7×	65	837
Babajan Banaganapalli	380 0.9×	54 0.5×	64 0.8×	31 0.4×	56 0.8×	60	746
Xiang Wu	453 1.1×	78 0.7×	42 0.5×	36 0.5×	116 1.7×	46	880
Björn Windshügel	320 0.8×	113 1.0×	43 0.5×	96 1.3×	56 0.8×	35	660
Tomohiro Sato	427 1.0×	239 2.2×	63 0.8×	40 0.5×	48 0.7×	36	710

Countries citing papers authored by Soma Barman

Since Specialization

Citations

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

Fields of papers citing papers by Soma Barman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soma Barman

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