Subrata K. Das

102 total papers · 1.2k total citations
72 papers, 833 citations indexed

About

Subrata K. Das is a scholar working on Molecular Biology, Ecology and Immunology. According to data from OpenAlex, Subrata K. Das has authored 72 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 32 papers in Ecology and 21 papers in Immunology. Recurrent topics in Subrata K. Das's work include Genomics and Phylogenetic Studies (43 papers), Microbial Community Ecology and Physiology (24 papers) and Aquaculture disease management and microbiota (20 papers). Subrata K. Das is often cited by papers focused on Genomics and Phylogenetic Studies (43 papers), Microbial Community Ecology and Physiology (24 papers) and Aquaculture disease management and microbiota (20 papers). Subrata K. Das collaborates with scholars based in India, United States and Germany. Subrata K. Das's co-authors include Peter Schümann, Tarini Shankar Ghosh, L. M. Das, Aqbal Singh, Jos Vanderleyden, Madhuban Gopal, Gladys Alexandre, Igor B. Zhulin, Ram Niwas and Bharat Patel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Microbiology and Biotechnology.

In The Last Decade

Subrata K. Das

71 papers receiving 805 citations

Author Peers

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

Author						Papers	Cites
Subrata K. Das	472	376	146	101	82	72	833
Yochan Joung	721 1.5×	539 1.4×	164 1.1×	97 1.0×	72 0.9×	93	991
Syed Imteyaz Alam	371 0.8×	152 0.4×	143 1.0×	53 0.5×	60 0.7×	69	895
Jialing Li	325 0.7×	259 0.7×	122 0.8×	63 0.6×	122 1.5×	50	846
Rafael R. de la Haba	582 1.2×	472 1.3×	81 0.6×	35 0.3×	48 0.6×	56	814
Seung-Hee Yoo	573 1.2×	365 1.0×	227 1.6×	62 0.6×	57 0.7×	27	771
Makoto Urai	350 0.7×	138 0.4×	123 0.8×	107 1.1×	130 1.6×	41	916
Guangyu Li	408 0.9×	255 0.7×	209 1.4×	40 0.4×	126 1.5×	57	887
Liping Wang	334 0.7×	290 0.8×	79 0.5×	153 1.5×	78 1.0×	40	756
Anne Fiebig	655 1.4×	423 1.1×	235 1.6×	40 0.4×	42 0.5×	32	963
Masataka Uchino	497 1.1×	251 0.7×	175 1.2×	78 0.8×	28 0.3×	52	820

Countries citing papers authored by Subrata K. Das

Since Specialization

Citations

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

Fields of papers citing papers by Subrata K. Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subrata K. Das

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