Konner Cool

894 citations
20 papers · 384 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Animal Virus Infections Studies

Papers in

Konner Cool

18 papers receiving 383 citations

Peers

Konner Cool
Comparison fields: 5 of 33
  • Infectious Diseases 338
  • Animal Science and Zoology 181
  • Modeling and Simulation 33
  • Agronomy and Crop Science 47
  • Genetics 37
Replace Paulien Tolsma with:
Paulien Tolsma Netherlands
Dillon S. McBride United States
Karina W. S. Tam Hong Kong
Dusty Lombardi United States
Chester D. McDowell United States
Runchu Zhao China
Ndapewa Laudika Ithete Germany
Lorenz Ulrich Germany
Timothy Linder United States
Beng Lee Lim Singapore
Konner Cool relative to Paulien Tolsma Netherlands Paulien Tolsma's profile →
Citations per field
00.5×
Paulien Tolsma · 1×
Citations per year

Countries citing papers authored by Konner Cool

Since Specialization
Citations

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

Fields of papers citing papers by Konner Cool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2020195
2 202160
3 202141
4 202223
5 202416
6 202110
7 20228
8 20197
9 20236
10 20214
11 20234
12 20203
13 20232
14 20241
15 20241
16 20221
17 20241
18 20241
19 20260
20 20240

About Konner Cool

Konner Cool is a scholar working on Infectious Diseases, Animal Science and Zoology, Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics, having authored 20 papers that have together received 384 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Animal Disease Management and Epidemiology (8 papers), Animal Virus Infections Studies (8 papers), Vector-Borne Animal Diseases (5 papers), Viral Infections and Immunology Research (5 papers), SARS-CoV-2 detection and testing (4 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (338 citations), Animal Science and Zoology (181 citations), Modeling and Simulation (33 citations), Agronomy and Crop Science (47 citations) and Genetics (37 citations). Konner Cool has collaborated with scholars based in United States, Spain and South Africa. Frequent co-authors include Taeyong Kwon, Igor Morozov, Natasha N. Gaudreault, Jüergen A. Richt, Jessie D. Trujillo, Udeni B. R. Balasuriya, Mariano Carossino, David A. Meekins, Daniel W. Madden and Dashzeveg Bold. Their work appears in journals such as Emerging Microbes & Infections, Viruses, Transboundary and Emerging Diseases, Animals and Vaccines.

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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