Eric D. Cassmann

742 citations
27 papers · 399 · h-index 10

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

Eric D. Cassmann

25 papers receiving 384 citations

Peers

Eric D. Cassmann
Comparison fields: 5 of 50
  • Infectious Diseases 226
  • Animal Science and Zoology 119
  • Modeling and Simulation 25
  • Agronomy and Crop Science 34
  • Neurology 22
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Brandi Livingston United States
А. Б. Рыжиков Russia
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Citations per year

Countries citing papers authored by Eric D. Cassmann

Since Specialization
Citations

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

Fields of papers citing papers by Eric D. Cassmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric D. Cassmann. 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 Eric D. Cassmann. The network helps show where Eric D. Cassmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021167
2 202257
3 201653
4 202118
5 202013
6 202012
7 201911
8 202110
9 20219
10 20189
11 20216
12 20226
13 20245
14 20195
15 20224
16 20222
17 20232
18 20202
19 20232
20 20241

About Eric D. Cassmann

Eric D. Cassmann is a scholar working on Molecular Biology, Nutrition and Dietetics, Infectious Diseases, Neurology and Materials Chemistry, having authored 27 papers that have together received 399 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (18 papers), Trace Elements in Health (10 papers), Neurological diseases and metabolism (5 papers), Metallurgy and Material Science (4 papers), SARS-CoV-2 detection and testing (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Infectious Diseases (226 citations), Animal Science and Zoology (119 citations), Modeling and Simulation (25 citations), Agronomy and Crop Science (34 citations) and Neurology (22 citations). Eric D. Cassmann has collaborated with scholars based in United States, Norway and Germany. Frequent co-authors include Justin J. Greenlee, Mitchell V. Palmer, Alexandra Buckley, Kelly M. Lager, Mathias Martins, Shollie M. Falkenberg, Diego G. Diel, Leonardo C. Caserta, Patrick K. Mitchell and Randall W. Renshaw. Their work appears in journals such as PLoS ONE, Research in Veterinary Science, Emerging infectious diseases, Viruses and Frontiers in Veterinary Science.

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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