Kartikeya Cherabuddi
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- Antibiotic Use and Resistance 5
- Modeling and Simulation top 2%
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 6
- Infectious Diseases top 5%
- Viral Infections and Vectors 3
- Endocrinology top 5%
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- Antibiotics Pharmacokinetics and Efficacy 9
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- Pneumonia and Respiratory Infections 8
- Urinary Tract Infections Management 6
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- Bacterial Identification and Susceptibility Testing 6
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- Nosocomial Infections in ICU 4
- Co-authors
- John A. LednickyJ. Glenn MorrisKenneth KlinkerJulia C. LoebVeena VenugopalanCaroline J. StephensonKuttichantran SubramaniamMaha A. Elbadry
- Journals
- SHILAP Revista de lepidopterología (3 papers)Clinical Infectious Diseases (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Kartikeya Cherabuddi
38 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Applied Microbiology and Biotechnology 104
- Modeling and Simulation 187
- Molecular Medicine 167
- Infectious Diseases 384
- Endocrinology 76
Countries citing papers authored by Kartikeya Cherabuddi
This map shows the geographic impact of Kartikeya Cherabuddi'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 Kartikeya Cherabuddi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kartikeya Cherabuddi more than expected).
Fields of papers citing papers by Kartikeya Cherabuddi
This network shows the impact of papers produced by Kartikeya Cherabuddi. 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 Kartikeya Cherabuddi. The network helps show where Kartikeya Cherabuddi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kartikeya Cherabuddi, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 8 | |
| 8 | 2020 | 36 | |
| 9 | 2020 | 10 | |
| 10 | Viable SARS-CoV-2 in the air of a hospital room with COVID-19 patientsbreakdown → | 2020 | 486 |
| 11 | 2019 | 7 | |
| 12 | 2019 | 10 | |
| 13 | 2018 | 16 | |
| 14 | 2017 | 36 | |
| 15 | 2017 | 5 | |
| 16 | 2017 | 33 | |
| 17 | 2017 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2016 | 41 | |
| 20 | 2012 | 78 |
About Kartikeya Cherabuddi
Kartikeya Cherabuddi is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (9 papers), Pneumonia and Respiratory Infections (8 papers), Antibiotic Resistance in Bacteria (6 papers), Urinary Tract Infections Management (6 papers), Bacterial Identification and Susceptibility Testing (6 papers), Antibiotic Use and Resistance (5 papers), Nosocomial Infections in ICU (4 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (104 citations), Modeling and Simulation (187 citations) and Molecular Medicine (167 citations). Kartikeya Cherabuddi has collaborated with scholars based in United States, India and Italy. Frequent co-authors include John A. Lednicky, J. Glenn Morris, Kenneth Klinker, Julia C. Loeb, Veena Venugopalan, Caroline J. Stephenson, Kuttichantran Subramaniam, Maha A. Elbadry, Thomas B. Waltzek and Trevor B. Tilly. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.
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.