Kusha Davar
Impact in
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- Antibiotic Use and Resistance
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- Infective Endocarditis Diagnosis and Management 3
- Virology and Viral Diseases 1
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- Bacterial Identification and Susceptibility Testing 4
- Co-authors
- Alexander Viloria Winnett (1 shared paper)Mika Watanabe (1 shared paper)Christopher J. Graber (1 shared paper)Matthew Bidwell Goetz (1 shared paper)Lauren P. Jatt (1 shared paper)Brad Spellberg (7 shared papers)Fernándo Domínguez (3 shared papers)Matthew C. Phillips (2 shared papers)
- Journals
- JAMA Network Open (2 papers)Clinical Microbiology and Infection (2 papers)Open Forum Infectious Diseases (2 papers)Clinical Infectious Diseases (1 paper)American Journal of Tropical Medicine and Hygiene (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Kusha Davar
11 papers receiving 178 citations
Peers
Comparison fields: 5 of 47
- Applied Microbiology and Biotechnology 31
- Modeling and Simulation 27
- Infectious Diseases 70
- Clinical Biochemistry 24
- Molecular Medicine 14
Countries citing papers authored by Kusha Davar
This map shows the geographic impact of Kusha Davar'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 Kusha Davar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kusha Davar more than expected).
Fields of papers citing papers by Kusha Davar
This network shows the impact of papers produced by Kusha Davar. 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 Kusha Davar. The network helps show where Kusha Davar may publish in the future.
Co-authors
The 25 scholars most cited alongside Kusha Davar, 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 | 2020 | 84 | |
| 2 | 2022 | 36 | |
| 3 | 2023 | 33 | |
| 4 | 2021 | 11 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2023 | 1 | |
| 13 | Disseminated Cryptococcosis with Endobronchial Lesions | 2016 | 0 |
About Kusha Davar
Kusha Davar is a scholar working on Epidemiology, Clinical Biochemistry, Infectious Diseases, Pharmacology and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 184 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (4 papers), Infective Endocarditis Diagnosis and Management (3 papers), Antibiotic Use and Resistance (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Liver Disease and Transplantation (1 paper), Virology and Viral Diseases (1 paper) and Vector-borne infectious diseases (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (31 citations), Modeling and Simulation (27 citations), Infectious Diseases (70 citations), Clinical Biochemistry (24 citations) and Molecular Medicine (14 citations). Kusha Davar has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Alexander Viloria Winnett, Mika Watanabe, Christopher J. Graber, Matthew Bidwell Goetz, Lauren P. Jatt, Brad Spellberg, Fernándo Domínguez, Matthew C. Phillips, Rachael Lee and Noah Wald‐Dickler. Their work appears in journals such as JAMA Network Open, Clinical Microbiology and Infection, Open Forum Infectious Diseases, Clinical Infectious Diseases and American Journal of Tropical Medicine and Hygiene.
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.