Supreet Saini

95 total papers · 1.2k total citations
46 papers, 707 citations indexed

About

Supreet Saini is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Supreet Saini has authored 46 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Genetics, 30 papers in Molecular Biology and 10 papers in Ecology. Recurrent topics in Supreet Saini's work include Bacterial Genetics and Biotechnology (18 papers), Evolution and Genetic Dynamics (17 papers) and Microbial Metabolic Engineering and Bioproduction (11 papers). Supreet Saini is often cited by papers focused on Bacterial Genetics and Biotechnology (18 papers), Evolution and Genetic Dynamics (17 papers) and Microbial Metabolic Engineering and Bioproduction (11 papers). Supreet Saini collaborates with scholars based in India, United States and United Kingdom. Supreet Saini's co-authors include Christopher V. Rao, Phillip D. Aldridge, Kalyan Gayen, Jonathon D. Brown, Manish Kumar, James M. Slauch, Jeffrey Pearl, Madhumanti Mondal, Ashmita Ghosh and Onkar Nath Tiwari and has published in prestigious journals such as Bioresource Technology, Scientific Reports and Journal of Bacteriology.

In The Last Decade

Supreet Saini

45 papers receiving 701 citations

Author Peers

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

Author						Papers	Cites
Supreet Saini	373	258	162	152	139	46	707
Kevin S. Myers	440 1.2×	194 0.8×	56 0.3×	72 0.5×	118 0.8×	50	683
Nicole Hansmeier	369 1.0×	143 0.6×	160 1.0×	114 0.8×	124 0.9×	29	794
Jean-Marie Lacroix	409 1.1×	158 0.6×	104 0.6×	61 0.4×	94 0.7×	32	907
Christoph Engl	442 1.2×	297 1.2×	106 0.7×	51 0.3×	29 0.2×	22	649
Ameya A. Mashruwala	509 1.4×	115 0.4×	67 0.4×	26 0.2×	66 0.5×	19	696
Yan Ren	362 1.0×	186 0.7×	174 1.1×	76 0.5×	17 0.1×	40	747
Janine Guespin‐Michel	565 1.5×	272 1.1×	47 0.3×	73 0.5×	103 0.7×	54	854
Rute G. Matos	659 1.8×	292 1.1×	51 0.3×	52 0.3×	39 0.3×	41	898
Deborah Byrne	384 1.0×	116 0.4×	103 0.6×	21 0.1×	72 0.5×	41	814
Jianli Wang	472 1.3×	149 0.6×	98 0.6×	43 0.3×	129 0.9×	31	661

Countries citing papers authored by Supreet Saini

Since Specialization

Citations

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

Fields of papers citing papers by Supreet Saini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supreet Saini

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