Shweta Kamat

653 citations
17 papers · 465 indexed · h-index 9
Topics
Antibiotic Resistance in Bacteria (10 papers)Antibiotic Use and Resistance (9 papers)Antibiotics Pharmacokinetics and Efficacy (5 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of ImmunologyThyroid

In The Last Decade

Shweta Kamat

17 papers receiving 445 citations

Peers

Shweta Kamat
Comparison fields: 5 of 59
  • Pathology and Forensic Medicine 283
  • Endocrinology, Diabetes and Metabolism 212
  • Molecular Medicine 108
  • Ophthalmology 97
  • Pharmacology 64
Replace Wen-Sen Lee with:
Wen-Sen Lee Taiwan
Liselotte Bruun Christiansen Denmark
Mumtaz Ahmad Pakistan
H.I. Lin Taiwan
Zuoan Huang China
Debbie S. Benitez United States
Chrysoula Nicolaou Greece
Omar P. Vallejos Chile
Izabella Castilhos Ribeiro dos Santos-Weiss Brazil
Bianca Lima Ferreira Brazil
Shweta Kamat relative to Wen-Sen Lee Taiwan Wen-Sen Lee's profile →
Citations per field
00.5×10×15×20×23.6×
Wen-Sen Lee · 1×
Citations per year

Countries citing papers authored by Shweta Kamat

Since Specialization
Citations

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

Fields of papers citing papers by Shweta Kamat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shweta Kamat

This figure shows the co-authorship network connecting the top 25 collaborators of Shweta Kamat. A scholar is included among the top collaborators of Shweta Kamat 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 Shweta Kamat. Shweta Kamat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 1
3 35
4 3
5 3
6 18
7 5
8 7
9 28
10 5
11 9
12 11
13 6
14 112
15 82
16 124
17 14

About Shweta Kamat

Shweta Kamat is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Pharmacology, having authored 17 papers that have together received 465 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Antibiotic Use and Resistance (9 papers) and Antibiotics Pharmacokinetics and Efficacy (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (56 citations), Molecular Medicine (108 citations) and Pathology and Forensic Medicine (283 citations). Shweta Kamat has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Terry J. Smith, Raymond S. Douglas, Andrew G. Gianoukakis, Vibhavari Naik, Daniel Sand, Nikoo F. Afifiyan, Catherine J. Hwang, Robert A. Goldberg, Daniel F. Sahm and James A. Karlowsky. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Thyroid.

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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