Jyoti Shetty
Impact in
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
Papers in
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- Genomics and Phylogenetic Studies 5
- Molecular Biology Techniques and Applications 4
- RNA Research and Splicing 2
-
- Cancer-related molecular mechanisms research 4
- Co-authors
- Linda M. Weigel (1 shared paper)Susan E. Flannagan (1 shared paper)Steven R. Gill (1 shared paper)Nancye C. Clark (1 shared paper)Don B. Clewell (1 shared paper)George Killgore (1 shared paper)James F. Kolonay (1 shared paper)Linda K. McDougal (1 shared paper)
- Journals
- Genome Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Visualized Experiments (2 papers)Cancers (1 paper)Hepatology (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Jyoti Shetty
16 papers receiving 1.5k citations
Jyoti Shetty's Hit Papers
Peers
Comparison fields: 5 of 111
- Clinical Biochemistry 168
- Infectious Diseases 423
- Molecular Medicine 110
- Microbiology 86
- Cancer Research 208
Countries citing papers authored by Jyoti Shetty
This map shows the geographic impact of Jyoti Shetty'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 Jyoti Shetty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyoti Shetty more than expected).
Fields of papers citing papers by Jyoti Shetty
This network shows the impact of papers produced by Jyoti Shetty. 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 Jyoti Shetty. The network helps show where Jyoti Shetty may publish in the future.
Co-authors
The 25 scholars most cited alongside Jyoti Shetty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Genetic Analysis of a High-Level Vancomycin-Resistant Isolate of Staphylococcus aureus Hit paper breakdown → | 2003 | 668 |
| 2 | 2018 | 267 | |
| 3 | 2004 | 115 | |
| 4 | 2007 | 106 | |
| 5 | 2015 | 88 | |
| 6 | 2007 | 69 | |
| 7 | 2001 | 42 | |
| 8 | 2013 | 40 | |
| 9 | 2019 | 35 | |
| 10 | 2020 | 30 | |
| 11 | 2019 | 29 | |
| 12 | 2017 | 16 | |
| 13 | 2022 | 13 | |
| 14 | 2020 | 8 | |
| 15 | 2020 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 0 |
About Jyoti Shetty
Jyoti Shetty is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Genetics, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Immune Cell Function and Interaction (5 papers), Cancer-related molecular mechanisms research (4 papers), Molecular Biology Techniques and Applications (4 papers), T-cell and B-cell Immunology (3 papers), Chromosomal and Genetic Variations (3 papers), Cancer Cells and Metastasis (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Clinical Biochemistry (168 citations), Infectious Diseases (423 citations), Molecular Medicine (110 citations), Microbiology (86 citations) and Cancer Research (208 citations). Jyoti Shetty has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Linda M. Weigel, Susan E. Flannagan, Steven R. Gill, Nancye C. Clark, Don B. Clewell, George Killgore, James F. Kolonay, Linda K. McDougal, Fred C. Tenover and Bao Tran. Their work appears in journals such as Genome Research, Proceedings of the National Academy of Sciences, Journal of Visualized Experiments, Cancers and Hepatology.
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.