Eric D. Cassmann

733 citations
27 papers · 381 · h-index 9

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

23 papers receiving 369 citations

Peers

Eric D. Cassmann
Comparison fields: 5 of 53
  • Infectious Diseases 227
  • Animal Science and Zoology 121
  • Modeling and Simulation 23
  • Agronomy and Crop Science 33
  • Neurology 22
Replace Guillermo Cantero with:
Guillermo Cantero Spain
А. Б. Рыжиков Russia
Konstantin P. Alekseev Russia
Brandi Livingston United States
Yuanguo Li China
Kairat Tabynov Kazakhstan
Judith Stasko United States
Judith Galeota United States
Aida J. Chaves Spain
Frances K. Shepherd United States
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Citations per field
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Guillermo Cantero · 1×
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 2021161
2 202254
3 201652
4 202117
5 201911
6 202011
7 202011
8 202110
9 20189
10 20218
11 20216
12 20226
13 20245
14 20195
15 20224
16 20202
17 20232
18 20222
19 20251
20 20201

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 381 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (18 papers), Trace Elements in Health (11 papers), Neurological diseases and metabolism (6 papers), Metallurgy and Material Science (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (3 papers), Animal Disease Management and Epidemiology (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Infectious Diseases (227 citations), Animal Science and Zoology (121 citations), Modeling and Simulation (23 citations), Agronomy and Crop Science (33 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, Leonardo C. Caserta, Shollie M. Falkenberg, Diego G. Diel, Mathias Martins, Kelly M. Lager, Randall W. Renshaw and Alicia Rollins. Their work appears in journals such as Research in Veterinary Science, PLoS ONE, Frontiers in Veterinary Science, Emerging infectious diseases and Viruses.

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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