TM Uyeki

596 citations
3 papers · 317 indexed · h-index 2
Topics
Influenza Virus Research Studies (2 papers)Pneumonia and Respiratory Infections (1 paper)Respiratory viral infections research (1 paper)
Journals
Clinical Infectious DiseasesMMWR Morbidity and Mortality Weekly ReportThe HKU Scholars Hub (University of Hong Kong)
Partner nations
United States

In The Last Decade

TM Uyeki

2 papers receiving 309 citations

Peers

TM Uyeki
Comparison fields: 5 of 51
  • Epidemiology 274
  • Infectious Diseases 99
  • Pulmonary and Respiratory Medicine 46
  • Immunology 27
  • Modeling and Simulation 24
Replace Alyssa Fiore with:
Alyssa Fiore United States
Valtýr Thors Iceland
Linny Kimly Phuong Australia
A. G. S. C. Jansen Netherlands
T. D'Mello United States
Tim Uyeki United States
Antonio José Justicia-Grande Spain
Verónica de la Maza Chile
Eduardo Robles‐Pérez Mexico
Sung Poblete United States
TM Uyeki relative to Alyssa Fiore United States Alyssa Fiore's profile →
Citations per field
00.5×
Alyssa Fiore · 1×
Citations per year

Countries citing papers authored by TM Uyeki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of TM Uyeki

This figure shows the co-authorship network connecting the top 25 collaborators of TM Uyeki. A scholar is included among the top collaborators of TM Uyeki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with TM Uyeki. TM Uyeki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1 33
2
Intensive-care patients with severe novel influenza A (H1N1) virus infection - Michigan, June 2009.
284
3
Non-pharmaceutical interventions for influenza prevention in households - Pilot findings of a large cluster randomized controlled trial in Hong Kong
0

About TM Uyeki

TM Uyeki is a scholar working on Epidemiology, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 317 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (2 papers), Pneumonia and Respiratory Infections (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Epidemiology (274 citations), Infectious Diseases (99 citations) and Modeling and Simulation (24 citations). TM Uyeki has collaborated with scholars based in United States. Frequent co-authors include Alyssa Fiore, Sandro Cinti, Thomas J. Papadimos, Kristen C. Sihler, Luigi Napolitano, Eloise Wells, Patricia Somsel, S. Lindstrom, Julie Villanueva and Christy 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026