TM Uyeki
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
Papers in
-
- Influenza Virus Research Studies 3
- Respiratory viral infections research 1
-
- Census and Population Estimation 1
- Co-authors
- Julie M. Villanueva (1 shared paper)Alyssa Fiore (1 shared paper)Eloise Wells (1 shared paper)Patricia A. Somsel (1 shared paper)Ruta Sharangpani (1 shared paper)Kristen C. Sihler (1 shared paper)Steven Lindstrom (1 shared paper)Alicia M. Fry (1 shared paper)
- Journals
- Clinical Infectious Diseases (2 papers)MMWR Morbidity and Mortality Weekly Report (1 paper)The HKU Scholars Hub (University of Hong Kong) (2 papers)
- Partner nations
- United States
In The Last Decade
TM Uyeki
5 papers receiving 481 citations
Peers
Comparison fields: 5 of 59
- Epidemiology 378
- Agronomy and Crop Science 79
- Infectious Diseases 120
- Modeling and Simulation 24
- Emergency Medical Services 18
Countries citing papers authored by TM Uyeki
This map shows the geographic impact of TM Uyeki'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 TM Uyeki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TM Uyeki more than expected).
Fields of papers citing papers by TM Uyeki
This network shows the impact of papers produced by TM Uyeki. 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 TM Uyeki. The network helps show where TM Uyeki may publish in the future.
Co-authors
The 25 scholars most cited alongside TM Uyeki, 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 | Intensive-care patients with severe novel influenza A (H1N1) virus infection - Michigan, June 2009. | 2009 | 324 |
| 2 | 2013 | 142 | |
| 3 | 2012 | 34 | |
| 4 | New England Medical Journal | 2007 | 7 |
| 5 | Pilot findings of a randomized trial of non-pharmaceutical interventions to prevent influenza transmission in households in Hong Kong | 2008 | 1 |
| 6 | Non-pharmaceutical interventions for influenza prevention in households - Pilot findings of a large cluster randomized controlled trial in Hong Kong | 2007 | 0 |
About TM Uyeki
TM Uyeki is a scholar working on Epidemiology, Statistics and Probability, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 6 papers that have together received 508 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Respiratory viral infections research (1 paper) and Census and Population Estimation (1 paper). The work is most often cited by research in Epidemiology (378 citations), Agronomy and Crop Science (79 citations), Infectious Diseases (120 citations), Modeling and Simulation (24 citations) and Emergency Medical Services (18 citations). TM Uyeki has collaborated with scholars based in United States. Frequent co-authors include Julie M. Villanueva, Alyssa Fiore, Eloise Wells, Patricia A. Somsel, Ruta Sharangpani, Kristen C. Sihler, Steven Lindstrom, Alicia M. Fry, Carol Chenoweth and Christy Ann Zalewski. Their work appears in journals such as Clinical Infectious Diseases, MMWR Morbidity and Mortality Weekly Report and The HKU Scholars Hub (University of Hong Kong).
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.