Sujata S. Chaudhari
- Insect Science top 5%
- Insect symbiosis and bacterial influences 3
- Microbiology top 5%
- Antimicrobial Peptides and Activities 3
- Molecular Medicine top 10%
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus 7
- Endocrinology top 10%
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- Bacterial biofilms and quorum sensing 11
- Studies on Chitinases and Chitosanases 5
- Insect Resistance and Genetics 4
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- Bacterial Genetics and Biotechnology 7
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- Invertebrate Immune Response Mechanisms 5
- Co-authors
- Vinai C. ThomasKenneth W. BaylesRichard W. BeemanSubbaratnam MuthukrishnanKarl J. KramerTammy KielianMatthew C. ZimmermanYasuyuki Arakane
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Journal of Immunology (1 paper)Journal of Bacteriology (2 papers)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Sujata S. Chaudhari
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Insect Science 157
- Microbiology 79
- Molecular Medicine 62
- Infectious Diseases 223
- Endocrinology 49
Countries citing papers authored by Sujata S. Chaudhari
This map shows the geographic impact of Sujata S. Chaudhari'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 Sujata S. Chaudhari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujata S. Chaudhari more than expected).
Fields of papers citing papers by Sujata S. Chaudhari
This network shows the impact of papers produced by Sujata S. Chaudhari. 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 Sujata S. Chaudhari. The network helps show where Sujata S. Chaudhari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sujata S. Chaudhari, 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 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 17 | |
| 5 | 2021 | 14 | |
| 6 | 2020 | 168 | |
| 7 | 2020 | 41 | |
| 8 | 2019 | 96 | |
| 9 | 2018 | 13 | |
| 10 | 2016 | 27 | |
| 11 | 2016 | 28 | |
| 12 | 2015 | 7 | |
| 13 | 2015 | 19 | |
| 14 | 2014 | 89 | |
| 15 | 2014 | 18 | |
| 16 | 2013 | 36 | |
| 17 | 2011 | 68 | |
| 18 | 2011 | 102 | |
| 19 | 2010 | 60 | |
| 20 | Effects of Pasteurella haemolytica leukotoxic culture supernatant on bovine neutrophil aggregation. | 1992 | 2 |
About Sujata S. Chaudhari
Sujata S. Chaudhari is a scholar working on Microbiology, Endocrinology and Infectious Diseases, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (11 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Genetics and Biotechnology (7 papers), Invertebrate Immune Response Mechanisms (5 papers), Studies on Chitinases and Chitosanases (5 papers), Insect Resistance and Genetics (4 papers), Antimicrobial Peptides and Activities (3 papers) and Insect symbiosis and bacterial influences (3 papers). The work is most often cited by research in Insect Science (157 citations), Microbiology (79 citations) and Molecular Medicine (62 citations). Sujata S. Chaudhari has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Vinai C. Thomas, Kenneth W. Bayles, Richard W. Beeman, Subbaratnam Muthukrishnan, Karl J. Kramer, Tammy Kielian, Matthew C. Zimmerman, Yasuyuki Arakane, Charles A. Specht and Paul D. Fey. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Bacteriology.
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.