Usha Samala
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 2
-
- SARS-CoV-2 and COVID-19 Research 2
- Viral gastroenteritis research and epidemiology 1
- Co-authors
- Stephanie R. Black (6 shared papers)Kelly Walblay (2 shared papers)Richard A. Teran (2 shared papers)Stephanie R. Gretsch (2 shared papers)Hyeree Choi (2 shared papers)Alicia M. Siston (2 shared papers)Isaac Ghinai (2 shared papers)Kate E. Varela (2 shared papers)
- Journals
- MMWR Morbidity and Mortality Weekly Report (3 papers)Clinical Infectious Diseases (1 paper)American Journal of Infection Control (1 paper)American Journal of Transplantation (1 paper)Open Forum Infectious Diseases (1 paper)
- Partner nations
- United States
In The Last Decade
Usha Samala
8 papers receiving 326 citations
Peers
Comparison fields: 5 of 40
- Infectious Diseases 133
- Modeling and Simulation 32
- Endocrinology 17
- Epidemiology 112
- Health 13
Countries citing papers authored by Usha Samala
This map shows the geographic impact of Usha Samala'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 Usha Samala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Usha Samala more than expected).
Fields of papers citing papers by Usha Samala
This network shows the impact of papers produced by Usha Samala. 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 Usha Samala. The network helps show where Usha Samala may publish in the future.
Co-authors
The 25 scholars most cited alongside Usha Samala, 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 | 2009 Pandemic influenza A (H1N1) virus infections - Chicago, Illinois, April-July 2009. | 2009 | 126 |
| 2 | 2021 | 78 | |
| 3 | 2021 | 34 | |
| 4 | 2015 | 28 | |
| 5 | 2020 | 23 | |
| 6 | 2015 | 22 | |
| 7 | 2021 | 22 | |
| 8 | 2003 | 8 |
About Usha Samala
Usha Samala is a scholar working on Modeling and Simulation, Infectious Diseases, Endocrinology, Health and Epidemiology, having authored 8 papers that have together received 341 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers), Influenza Virus Research Studies (1 paper), Legionella and Acanthamoeba research (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (133 citations), Modeling and Simulation (32 citations), Endocrinology (17 citations), Epidemiology (112 citations) and Health (13 citations). Usha Samala has collaborated with scholars based in United States. Frequent co-authors include Stephanie R. Black, Kelly Walblay, Richard A. Teran, Stephanie R. Gretsch, Hyeree Choi, Alicia M. Siston, Isaac Ghinai, Kate E. Varela, Sharon F. Welbel and Paige A. Armstrong. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Clinical Infectious Diseases, American Journal of Infection Control, American Journal of Transplantation and Open Forum 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.