T. D'Mello
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
Papers in
-
- Influenza Virus Research Studies 8
- Respiratory viral infections research 5
-
- COVID-19 epidemiological studies 5
- Co-authors
- Patricia Ryan (5 shared papers)Ruth Lynfield (5 shared papers)Ann Thomas (5 shared papers)Nancy M. Bennett (5 shared papers)Shelley M. Zansky (5 shared papers)Lyn Finelli (4 shared papers)Sandra S. Chaves (3 shared papers)Emily Hancock (3 shared papers)
- Journals
- The Journal of Infectious Diseases (2 papers)Clinical Infectious Diseases (1 paper)Annals of Epidemiology (1 paper)Influenza and Other Respiratory Viruses (1 paper)PEDIATRICS (1 paper)
- Partner nations
- United StatesUgandaMongolia
In The Last Decade
T. D'Mello
10 papers receiving 403 citations
Peers
Comparison fields: 5 of 65
- Modeling and Simulation 62
- Epidemiology 347
- Infectious Diseases 88
- Health 39
- Emergency Medicine 21
Countries citing papers authored by T. D'Mello
This map shows the geographic impact of T. D'Mello'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 T. D'Mello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. D'Mello more than expected).
Fields of papers citing papers by T. D'Mello
This network shows the impact of papers produced by T. D'Mello. 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 T. D'Mello. The network helps show where T. D'Mello may publish in the future.
Co-authors
The 25 scholars most cited alongside T. D'Mello, 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 | 2013 | 87 | |
| 2 | Influenza activity - United States, 2014-15 season and composition of the 2015-16 influenza vaccine. | 2015 | 81 |
| 3 | 2014 | 72 | |
| 4 | 2011 | 70 | |
| 5 | 2011 | 54 | |
| 6 | 2012 | 23 | |
| 7 | 2012 | 18 | |
| 8 | 2011 | 6 | |
| 9 | Proportion of U.S. Civilian Population Ineligible for U.S. Air Force Enlistment Based on Current and Previous Weight Standards | 2007 | 1 |
| 10 | Occupational Jet Fuel Exposure and Invasive Cancer Occurrence in the United States Air Force, 1989-2003 | 2007 | 1 |
About T. D'Mello
T. D'Mello is a scholar working on Epidemiology, Modeling and Simulation, Agronomy and Crop Science, Physiology and Occupational Therapy, having authored 10 papers that have together received 413 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), COVID-19 epidemiological studies (5 papers), Respiratory viral infections research (5 papers), Animal Disease Management and Epidemiology (2 papers), Smoking Behavior and Cessation (1 paper), Energy and Environment Impacts (1 paper), Air Quality and Health Impacts (1 paper) and Asthma and respiratory diseases (1 paper). The work is most often cited by research in Modeling and Simulation (62 citations), Epidemiology (347 citations), Infectious Diseases (88 citations), Health (39 citations) and Emergency Medicine (21 citations). T. D'Mello has collaborated with scholars based in United States, Uganda and Mongolia. Frequent co-authors include Patricia Ryan, Ruth Lynfield, Ann Thomas, Nancy M. Bennett, Shelley M. Zansky, Lyn Finelli, Sandra S. Chaves, Emily Hancock, Lenee Blanton and Alejandro Pérez. Their work appears in journals such as The Journal of Infectious Diseases, Clinical Infectious Diseases, Annals of Epidemiology, Influenza and Other Respiratory Viruses and PEDIATRICS.
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.