Kusha Davar
Impact in
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- Antibiotic Use and Resistance
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- COVID-19 epidemiological studies
Papers in
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- Fungal Infections and Studies 2
- Infective Endocarditis Diagnosis and Management 1
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- Mosquito-borne diseases and control 2
- Co-authors
- Alexander Viloria Winnett (1 shared paper)Lauren P. Jatt (1 shared paper)Christopher J. Graber (1 shared paper)Matthew Bidwell Goetz (1 shared paper)Mika Watanabe (1 shared paper)Brad Spellberg (8 shared papers)Fernándo Domínguez (3 shared papers)Rachael Lee (2 shared papers)
- Journals
- JAMA Network Open (3 papers)Clinical Microbiology and Infection (2 papers)Open Forum Infectious Diseases (2 papers)American Journal of Clinical Pathology (1 paper)BMC Medical Education (1 paper)
- Partner nations
- United StatesCanadaSaudi Arabia
In The Last Decade
Kusha Davar
11 papers receiving 195 citations
Peers
Comparison fields: 5 of 45
- Applied Microbiology and Biotechnology 22
- Modeling and Simulation 16
- Molecular Medicine 16
- Infectious Diseases 45
- General Health Professions 40
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 | 85 | |
| 2 | 2022 | 39 | |
| 3 | 2023 | 37 | |
| 4 | 2021 | 16 | |
| 5 | 2023 | 7 | |
| 6 | 2021 | 5 | |
| 7 | 2022 | 4 | |
| 8 | 2025 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 0 | |
| 14 | Disseminated Cryptococcosis with Endobronchial Lesions | 2016 | 0 |
| 15 | 2024 | 0 | |
| 16 | 2026 | 0 |
About Kusha Davar
Kusha Davar is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Microbiology, Applied Microbiology and Biotechnology and Parasitology, having authored 16 papers that have together received 201 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (2 papers), Mosquito-borne diseases and control (2 papers), Fungal Infections and Studies (2 papers), SARS-CoV-2 detection and testing (1 paper), Bird parasitology and diseases (1 paper), Infective Endocarditis Diagnosis and Management (1 paper), Clinical Reasoning and Diagnostic Skills (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (22 citations), Modeling and Simulation (16 citations), Molecular Medicine (16 citations), Infectious Diseases (45 citations) and General Health Professions (40 citations). Kusha Davar has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Alexander Viloria Winnett, Lauren P. Jatt, Christopher J. Graber, Matthew Bidwell Goetz, Mika Watanabe, Brad Spellberg, Fernándo Domínguez, Rachael Lee, Matthew C. Phillips and Emily G. McDonald. Their work appears in journals such as JAMA Network Open, Clinical Microbiology and Infection, Open Forum Infectious Diseases, American Journal of Clinical Pathology and BMC Medical Education.
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.