Subrata Sau

47 total papers · 871 total citations
42 papers, 699 citations indexed

About

Subrata Sau is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Subrata Sau has authored 42 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 19 papers in Infectious Diseases and 18 papers in Genetics. Recurrent topics in Subrata Sau's work include Antimicrobial Resistance in Staphylococcus (19 papers), Bacterial Genetics and Biotechnology (18 papers) and Toxin Mechanisms and Immunotoxins (12 papers). Subrata Sau is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (19 papers), Bacterial Genetics and Biotechnology (18 papers) and Toxin Mechanisms and Immunotoxins (12 papers). Subrata Sau collaborates with scholars based in India, United States and Ireland. Subrata Sau's co-authors include Chia Y. Lee, Jean C. Lee, Keya Sau, Thanh T. Luong, Timothy J. Foster, Elisabeth R. Wann, Mark S. Smeltzer, Allison F. Gillaspy, Ambrose L. Cheung and Biswanath Jana and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Subrata Sau

39 papers receiving 688 citations

Author Peers

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

Author						Papers	Cites
Subrata Sau	519	354	170	91	82	42	699
Kristoffer T. Bæk	387 0.7×	362 1.0×	149 0.9×	88 1.0×	43 0.5×	22	734
Wenqi Yu	543 1.0×	371 1.0×	205 1.2×	102 1.1×	80 1.0×	30	853
Sabrina Mühlen	350 0.7×	221 0.6×	170 1.0×	98 1.1×	89 1.1×	22	787
Douglas Lane	436 0.8×	189 0.5×	157 0.9×	62 0.7×	69 0.8×	26	818
Gary L. Sloan	451 0.9×	258 0.7×	140 0.8×	124 1.4×	56 0.7×	36	699
Eiji Tamai	316 0.6×	279 0.8×	156 0.9×	122 1.3×	88 1.1×	35	673
Christina S. Faherty	260 0.5×	301 0.9×	106 0.6×	86 0.9×	88 1.1×	25	805
Audrey Le Gouëllec	376 0.7×	129 0.4×	165 1.0×	105 1.2×	124 1.5×	40	787
Maria Letizia Di Martino	360 0.7×	213 0.6×	153 0.9×	100 1.1×	81 1.0×	26	743
Veeraraghavan Usha	533 1.0×	369 1.0×	80 0.5×	76 0.8×	80 1.0×	18	867

Countries citing papers authored by Subrata Sau

Since Specialization

Citations

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

Fields of papers citing papers by Subrata Sau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subrata Sau

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