Kala M. Raz
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- Tuberculosis Research and Epidemiology 8
- SARS-CoV-2 detection and testing 1
-
- Pneumonia and Respiratory Infections 6
- Mycobacterium research and diagnosis 5
- Co-authors
- Yunfeng TieErin K. StokesEllyn MarderKathleen E. FullertonKayla N. AndersonLaura D. ZambranoMaryam B. HaddadJ. Steve Kammerer
- Journals
- Frontiers in Public Health (2 papers)Emerging infectious diseases (2 papers)MMWR Morbidity and Mortality Weekly Report (1 paper)Tuberculosis (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesFranceKenya
In The Last Decade
Kala M. Raz
9 papers receiving 1000 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Infectious Diseases 584
- Modeling and Simulation 122
- Neurology 203
- Obstetrics and Gynecology 81
- Health 81
Countries citing papers authored by Kala M. Raz
This map shows the geographic impact of Kala M. Raz'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 Kala M. Raz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kala M. Raz more than expected).
Fields of papers citing papers by Kala M. Raz
This network shows the impact of papers produced by Kala M. Raz. 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 Kala M. Raz. The network helps show where Kala M. Raz may publish in the future.
Co-authors
The 25 scholars most cited alongside Kala M. Raz, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 3 | |
| 8 | Coronavirus Disease 2019 Case Surveillance — United States, January 22–May 30, 2020 Hit paper breakdown → | 2020 | 981 |
| 9 | 2019 | 10 | |
| 10 | 2018 | 26 |
About Kala M. Raz
Kala M. Raz is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Environmental Chemistry and Oceanography, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Pneumonia and Respiratory Infections (6 papers), Mycobacterium research and diagnosis (5 papers), SARS-CoV-2 detection and testing (1 paper), vaccines and immunoinformatics approaches (1 paper), Infectious Diseases and Tuberculosis (1 paper), Microbial Community Ecology and Physiology (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Infectious Diseases (584 citations), Modeling and Simulation (122 citations), Neurology (203 citations), Obstetrics and Gynecology (81 citations) and Health (81 citations). Kala M. Raz has collaborated with scholars based in United States, France and Kenya. Frequent co-authors include Yunfeng Tie, Erin K. Stokes, Ellyn Marder, Kathleen E. Fullerton, Kayla N. Anderson, Laura D. Zambrano, Maryam B. Haddad, J. Steve Kammerer, Timothy L. Lash and Benjamin J. Silk. Their work appears in journals such as Frontiers in Public Health, Emerging infectious diseases, MMWR Morbidity and Mortality Weekly Report, Tuberculosis and The Journal of Infectious Diseases.
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.