Suvro Biswas

47 total papers · 861 total citations
38 papers, 604 citations indexed

About

Suvro Biswas is a scholar working on Molecular Biology, Computational Theory and Mathematics and Food Science. According to data from OpenAlex, Suvro Biswas has authored 38 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 9 papers in Food Science. Recurrent topics in Suvro Biswas's work include Computational Drug Discovery Methods (11 papers), Essential Oils and Antimicrobial Activity (6 papers) and vaccines and immunoinformatics approaches (5 papers). Suvro Biswas is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Essential Oils and Antimicrobial Activity (6 papers) and vaccines and immunoinformatics approaches (5 papers). Suvro Biswas collaborates with scholars based in Bangladesh, Saudi Arabia and India. Suvro Biswas's co-authors include Md. Abu Saleh, Shafi Mahmud, Gobindo Kumar Paul, Shahriar Zaman, Talha Bin Emran, Shamima Afrose, Mst. Sharmin Sultana Shimu, Md. Robiul Hasan, Md Salah Uddin and Kuldeep Dhama and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Suvro Biswas

33 papers receiving 595 citations

Author Peers

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

Author						Papers	Cites
Suvro Biswas	276	162	112	108	100	38	604
Shahriar Zaman	218 0.8×	125 0.8×	120 1.1×	80 0.7×	169 1.7×	48	600
Subhomoi Borkotoky	377 1.4×	100 0.6×	75 0.7×	140 1.3×	73 0.7×	28	673
Saad Ahmed Sami	262 0.9×	135 0.8×	69 0.6×	168 1.6×	92 0.9×	26	661
Kiran Bharat Lokhande	283 1.0×	189 1.2×	38 0.3×	93 0.9×	74 0.7×	61	640
Oludare M. Ogunyemi	139 0.5×	214 1.3×	61 0.5×	84 0.8×	85 0.8×	36	519
Smith B. Babiaka	273 1.0×	146 0.9×	74 0.7×	51 0.5×	220 2.2×	29	644
Rahat Alam	342 1.2×	160 1.0×	36 0.3×	121 1.1×	66 0.7×	24	658
Poonam Dhankhar	273 1.0×	130 0.8×	47 0.4×	92 0.9×	99 1.0×	22	574
Sarad Kumar Mishra	213 0.8×	140 0.9×	30 0.3×	86 0.8×	112 1.1×	31	569
Kendall Byler	211 0.8×	137 0.8×	114 1.0×	67 0.6×	94 0.9×	18	576

Countries citing papers authored by Suvro Biswas

Since Specialization

Citations

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

Fields of papers citing papers by Suvro Biswas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suvro Biswas

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