Sushim K. Gupta

67 total papers · 2.8k total citations
47 papers, 1.8k citations indexed

About

Sushim K. Gupta is a scholar working on Molecular Biology, Ecology and Molecular Medicine. According to data from OpenAlex, Sushim K. Gupta has authored 47 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 18 papers in Ecology and 18 papers in Molecular Medicine. Recurrent topics in Sushim K. Gupta's work include Antibiotic Resistance in Bacteria (18 papers), Bacteriophages and microbial interactions (18 papers) and Salmonella and Campylobacter epidemiology (17 papers). Sushim K. Gupta is often cited by papers focused on Antibiotic Resistance in Bacteria (18 papers), Bacteriophages and microbial interactions (18 papers) and Salmonella and Campylobacter epidemiology (17 papers). Sushim K. Gupta collaborates with scholars based in United States, France and Egypt. Sushim K. Gupta's co-authors include Jean‐Marc Rolain, Seydina M. Diene, Luce Landraud, Roshan Padmanabhan, Rafael López-Rojas, Marie Kempf, Charlene R. Jackson, Jonathan G. Frye, Lari M. Hiott and Tiffanie A. Woodley and has published in prestigious journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and Frontiers in Microbiology.

In The Last Decade

Sushim K. Gupta

44 papers receiving 1.7k citations

Hit Papers

ARG-ANNOT, a New Bioinfor... 2013 2026 2017 2021 2013 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Sushim K. Gupta 810 716 439 408 302 47 1.8k
Maria Hoffmann 558 0.7× 535 0.7× 420 1.0× 437 1.1× 291 1.0× 44 1.5k
Daniel A. Tadesse 879 1.1× 574 0.8× 627 1.4× 482 1.2× 283 0.9× 31 1.9k
Jane Hawkey 737 0.9× 580 0.8× 261 0.6× 432 1.1× 261 0.9× 41 1.5k
Farid El Garch 1.0k 1.2× 559 0.8× 299 0.7× 337 0.8× 191 0.6× 50 2.0k
María de Toro 1.0k 1.3× 866 1.2× 462 1.1× 498 1.2× 335 1.1× 93 2.3k
Val F. Lanza 696 0.9× 646 0.9× 295 0.7× 284 0.7× 293 1.0× 42 1.6k
Glenn E. Tillman 864 1.1× 799 1.1× 736 1.7× 552 1.4× 442 1.5× 26 2.2k
Dachuan Lin 711 0.9× 494 0.7× 256 0.6× 348 0.9× 206 0.7× 35 1.5k
Luce Landraud 774 1.0× 869 1.2× 323 0.7× 639 1.6× 281 0.9× 39 2.1k
Manal AbuOun 773 1.0× 494 0.7× 625 1.4× 405 1.0× 362 1.2× 64 1.8k

Countries citing papers authored by Sushim K. Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Sushim K. Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushim K. Gupta

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