Swati Sharma

98 total papers · 573 total citations
42 papers, 347 citations indexed

About

Swati Sharma is a scholar working on Molecular Medicine, Epidemiology and Infectious Diseases. According to data from OpenAlex, Swati Sharma has authored 42 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Medicine, 10 papers in Epidemiology and 9 papers in Infectious Diseases. Recurrent topics in Swati Sharma's work include Antibiotic Resistance in Bacteria (14 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Vibrio bacteria research studies (4 papers). Swati Sharma is often cited by papers focused on Antibiotic Resistance in Bacteria (14 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Vibrio bacteria research studies (4 papers). Swati Sharma collaborates with scholars based in India, United States and France. Swati Sharma's co-authors include Tuhina Banerjee, Ghanshyam Yadav, Ashok Kumar, Arghya Das, Rakesh Kumar Maurya, Punita Sharma, Tanwee Das De, Tina Thomas, Suman Lata and Rajnikant Dixit and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cell Science and Human Reproduction Update.

In The Last Decade

Swati Sharma

37 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
Swati Sharma	147	72	70	62	58	42	347
Antoine Grillon	87 0.6×	36 0.5×	32 0.5×	38 0.6×	54 0.9×	30	322
Manuela Arbune	102 0.7×	30 0.4×	13 0.2×	36 0.6×	54 0.9×	60	343
C. Hennequin	209 1.4×	27 0.4×	17 0.2×	106 1.7×	110 1.9×	22	384
Sara Rahimi	167 1.1×	23 0.3×	14 0.2×	88 1.4×	84 1.4×	43	362
Nicha Charoensri	187 1.3×	37 0.5×	7 0.1×	86 1.4×	59 1.0×	28	308
Naïma El Mdaghri	122 0.8×	35 0.5×	7 0.1×	76 1.2×	39 0.7×	31	310
Pisut Pongchaikul	85 0.6×	34 0.5×	11 0.2×	53 0.9×	138 2.4×	42	391
Sonia Ktari	233 1.6×	18 0.3×	13 0.2×	164 2.6×	127 2.2×	26	390
Yannick Hoyos-Mallecot	153 1.0×	138 1.9×	8 0.1×	96 1.5×	32 0.6×	19	386
Julia Howard	108 0.7×	33 0.5×	7 0.1×	36 0.6×	45 0.8×	19	298

Countries citing papers authored by Swati Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Swati Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swati Sharma

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