Patsy Tassler Kelso

470 citations
16 papers · 358 · h-index 8

Impact in

    • Vector-borne infectious diseases
    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology

Papers in

Patsy Tassler Kelso

15 papers receiving 339 citations

Peers

Patsy Tassler Kelso
Comparison fields: 5 of 67
  • Parasitology 92
  • Infectious Diseases 184
  • Microbiology 58
  • Modeling and Simulation 19
  • Public Health, Environmental and Occupational Health 100
Replace Jevon McFadden with:
Jevon McFadden United States
Jill E. Hatchette Canada
Kathryn H. Lofy United States
Hilary Kirkbride United Kingdom
Stacey L Rowe Australia
Marta Grgič-Vitek Slovenia
Atika Berry Lebanon
Ismar Alejandra Rivera-Olivero Ecuador
Henri Partouche France
F Lucht France
Patsy Tassler Kelso relative to Jevon McFadden United States Jevon McFadden's profile →
Citations per field
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Jevon McFadden · 1×
Citations per year

Countries citing papers authored by Patsy Tassler Kelso

Since Specialization
Citations

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

Fields of papers citing papers by Patsy Tassler Kelso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patsy Tassler Kelso. 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 Patsy Tassler Kelso. The network helps show where Patsy Tassler Kelso may publish in the future.

Co-authors

The 25 scholars most cited alongside Patsy Tassler Kelso, 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 Patsy Tassler Kelso Line = papers co-authored together Patsy Tassler Kelso links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2008114
2 201163
3 201656
4 202028
5 201727
6 201920
7 201914
8 202110
9 20226
10 20225
11 20194
12 20224
13 20203
14 20212
15 20241
16 20261

About Patsy Tassler Kelso

Patsy Tassler Kelso is a scholar working on Infectious Diseases, Modeling and Simulation, Parasitology, Public Health, Environmental and Occupational Health and Endocrinology, having authored 16 papers that have together received 358 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Viral Infections and Vectors (3 papers), Mosquito-borne diseases and control (3 papers), Vector-borne infectious diseases (3 papers), Viral gastroenteritis research and epidemiology (2 papers), COVID-19 Digital Contact Tracing (2 papers), COVID-19 and healthcare impacts (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Parasitology (92 citations), Infectious Diseases (184 citations), Microbiology (58 citations), Modeling and Simulation (19 citations) and Public Health, Environmental and Occupational Health (100 citations). Patsy Tassler Kelso has collaborated with scholars based in United States and Canada. Frequent co-authors include David D. Blaney, Elizabeth R. Daly, Elizabeth A. Talbot, Kathryn B Kirkland, Jon Eric Tongren, Brant Goode, Lara K. Misegades, Stacey W. Martin, Lucy Breakwell and Anna M. Acosta. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Vector-Borne and Zoonotic Diseases, American Journal of Infection Control, Annals of Internal Medicine and Preventive Medicine.

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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