Subrata Pramanik

54 total papers · 759 total citations
32 papers, 545 citations indexed

About

Subrata Pramanik is a scholar working on Molecular Biology, Biomedical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Subrata Pramanik has authored 32 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Biomedical Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Subrata Pramanik's work include Biofuel production and bioconversion (6 papers), Enzyme Catalysis and Immobilization (5 papers) and Computational Drug Discovery Methods (4 papers). Subrata Pramanik is often cited by papers focused on Biofuel production and bioconversion (6 papers), Enzyme Catalysis and Immobilization (5 papers) and Computational Drug Discovery Methods (4 papers). Subrata Pramanik collaborates with scholars based in India, Germany and South Korea. Subrata Pramanik's co-authors include Mehdi D. Davari, Ulrich Schwaneberg, Klaus Heese, А. П. Синицын, И. Н. Зоров, А. М. Рожкова, Kunal Roy, Arne Kutzner, Karl‐Erich Jaeger and Francisca Contreras and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemosphere and International Journal of Molecular Sciences.

In The Last Decade

Subrata Pramanik

32 papers receiving 539 citations

Author Peers

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

Author						Papers	Cites
Subrata Pramanik	339	180	102	36	36	32	545
Hao Cao	426 1.3×	120 0.7×	33 0.3×	33 0.9×	9 0.3×	36	618
Uzma Shaheen	139 0.4×	126 0.7×	14 0.1×	32 0.9×	37 1.0×	36	566
Mengke Li	260 0.8×	49 0.3×	15 0.1×	11 0.3×	11 0.3×	56	617
I. Yu. Toropygin	229 0.7×	30 0.2×	22 0.2×	23 0.6×	18 0.5×	58	477
Katarina Miš	272 0.8×	92 0.5×	20 0.2×	50 1.4×	33 0.9×	44	569
Yuanyuan Li	276 0.8×	124 0.7×	20 0.2×	14 0.4×	3 0.1×	22	600
Heather Shinogle	306 0.9×	92 0.5×	54 0.5×	21 0.6×	33 0.9×	21	598
Harshal Nemade	207 0.6×	62 0.3×	62 0.6×	10 0.3×	6 0.2×	18	545
Jialin Sun	229 0.7×	141 0.8×	35 0.3×	108 3.0×	2 0.1×	36	513
Irina Naletova	287 0.8×	66 0.4×	17 0.2×	75 2.1×	26 0.7×	39	583

Countries citing papers authored by Subrata Pramanik

Since Specialization

Citations

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

Fields of papers citing papers by Subrata Pramanik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subrata Pramanik

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