Damon Toth

791 citations
28 papers · 388 · h-index 10

Impact in

Papers in

    • Clostridium difficile and Clostridium perfringens research 5
    • Antimicrobial Resistance in Staphylococcus 4
    • Viral Infections and Outbreaks Research 4
    • Infection Control in Healthcare 4
    • COVID-19 epidemiological studies 10

Damon Toth

26 papers receiving 384 citations

Peers

Damon Toth
Comparison fields: 5 of 80
  • Applied Microbiology and Biotechnology 53
  • Modeling and Simulation 118
  • Infectious Diseases 140
  • Molecular Medicine 36
  • Epidemiology 129
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Citations per field
00.5×1.7×
Thomas Obadia · 1×
Citations per year

Countries citing papers authored by Damon Toth

Since Specialization
Citations

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

Fields of papers citing papers by Damon Toth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201565
2 201541
3 201340
4 201740
5 201336
6 202128
7 201619
8 202118
9 202114
10 200611
11 20209
12 20218
13 20158
14 20078
15 20207
16 20136
17 20195
18 20085
19 20195
20 20163

About Damon Toth

Damon Toth is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Genetics and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 388 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), Evolution and Genetic Dynamics (5 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Viral Infections and Outbreaks Research (4 papers), Infection Control in Healthcare (4 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (53 citations), Modeling and Simulation (118 citations), Infectious Diseases (140 citations), Molecular Medicine (36 citations) and Epidemiology (129 citations). Damon Toth has collaborated with scholars based in United States, Switzerland and Malaysia. Frequent co-authors include Adi V. Gundlapalli, Matthew H. Samore, Windy Tanner, Karim Khader, Molly Leecaster, Warren Pettey, Lindsay T. Keegan, Michael Rubin, Amra Uzicanin and Hongjiang Gao. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases, JAMA Network Open, Epidemics and Epidemiology and Infection.

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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