Terrence Lo

15 papers receiving 501 citations

Peers

Terrence Lo
Comparison fields: 5 of 87
  • Infectious Diseases 277
  • Modeling and Simulation 47
  • Public Health, Environmental and Occupational Health 166
  • Epidemiology 159
  • Parasitology 26
Replace Mary M. Moran with:
Mary M. Moran United States
Alexandra Porras Colombia
Irwin Chavez Thailand
Marisa Santos Brazil
Penny E Neave New Zealand
Aristide Aplogan France
Éric Masserey Switzerland
Alice Sanna French Guiana
Michael A. Tolle United States
Bayaki Saka Togo
Terrence Lo relative to Mary M. Moran United States Mary M. Moran's profile →
Citations per field
00.5×5.3×
Mary M. Moran · 1×
Citations per year

Countries citing papers authored by Terrence Lo

Since Specialization
Citations

This map shows the geographic impact of Terrence Lo'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 Terrence Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terrence Lo more than expected).

Fields of papers citing papers by Terrence Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Terrence Lo. 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 Terrence Lo. The network helps show where Terrence Lo may publish in the future.

Co-authors

The 25 scholars most cited alongside Terrence Lo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Terrence Lo Line = papers co-authored together Terrence Lo links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2003162
2
Trends in Tuberculosis — United States, 2012
201386
3 201563
4 201646
5 201239
6 201637
7 202035
8 201519
9 20169
10 20236
11 20225
12 20153
13 20232
14 20102
15 20221
16 20191

About Terrence Lo

Terrence Lo is a scholar working on Modeling and Simulation, Infectious Diseases, Health, Emergency Medical Services and Geriatrics and Gerontology, having authored 16 papers that have together received 516 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Viral Infections and Outbreaks Research (4 papers), Vaccine Coverage and Hesitancy (3 papers), COVID-19 epidemiological studies (3 papers), Disaster Response and Management (2 papers), COVID-19 and healthcare impacts (2 papers), Global Security and Public Health (2 papers) and Food Security and Health in Diverse Populations (1 paper). The work is most often cited by research in Infectious Diseases (277 citations), Modeling and Simulation (47 citations), Public Health, Environmental and Occupational Health (166 citations), Epidemiology (159 citations) and Parasitology (26 citations). Terrence Lo has collaborated with scholars based in United States, India and Kenya. Frequent co-authors include Sandy F. Price, Robert Pratt, Thomas R. Navin, Roque Miramontes, Luna Kamau, Bernard L. Nahlen, Penelope A. Phillips‐Howard, Allen W. Hightower, John Vulule and Evan Mathenge. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Public Health Action, International Journal of Pharmacy Practice, PLoS neglected tropical diseases and The International Journal of Tuberculosis and Lung Disease.

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.

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