Sayak Das

64 total papers · 556 total citations
38 papers, 396 citations indexed

About

Sayak Das is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Sayak Das has authored 38 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Ecology and 7 papers in Plant Science. Recurrent topics in Sayak Das's work include Microbial Community Ecology and Physiology (14 papers), Genomics and Phylogenetic Studies (13 papers) and Bacteriophages and microbial interactions (6 papers). Sayak Das is often cited by papers focused on Microbial Community Ecology and Physiology (14 papers), Genomics and Phylogenetic Studies (13 papers) and Bacteriophages and microbial interactions (6 papers). Sayak Das collaborates with scholars based in India, United States and South Africa. Sayak Das's co-authors include Mingma Thundu Sherpa, Nagendra Thakur, Ishfaq Nabi Najar, Saurav Das, Laxuman Sharma, Niladri Bag, Santosh Kumar, Vikash Kumar Dubey, Amita Jain and Shailendra K. Saxena and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Sayak Das

32 papers receiving 389 citations

Author Peers

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

Author						Papers	Cites
Sayak Das	211	198	69	58	34	38	396
Ishfaq Nabi Najar	228 1.1×	207 1.0×	32 0.5×	86 1.5×	55 1.6×	36	440
Sam Pitluck	210 1.0×	148 0.7×	102 1.5×	51 0.9×	48 1.4×	21	426
Е. В. Демкина	146 0.7×	204 1.0×	33 0.5×	28 0.5×	17 0.5×	40	375
John G. Holt	155 0.7×	93 0.5×	108 1.6×	44 0.8×	29 0.9×	20	390
Muhammad Zohaib Anwar	151 0.7×	146 0.7×	48 0.7×	88 1.5×	6 0.2×	18	390
Angelina Cordone	156 0.7×	106 0.5×	26 0.4×	21 0.4×	36 1.1×	31	381
Jingli Lu	91 0.4×	114 0.6×	90 1.3×	77 1.3×	8 0.2×	19	386
Alexis Gaete	159 0.8×	192 1.0×	140 2.0×	65 1.1×	18 0.5×	19	425
Pavla Holochová	231 1.1×	184 0.9×	66 1.0×	13 0.2×	34 1.0×	24	377
Miguel de Celis	111 0.5×	75 0.4×	134 1.9×	55 0.9×	21 0.6×	20	395

Countries citing papers authored by Sayak Das

Since Specialization

Citations

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

Fields of papers citing papers by Sayak Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayak Das

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