Kenneth H. Dinnon

11.8k citations
25 papers · 1.9k indexed · 1 hit paper · h-index 14
Topics
SARS-CoV-2 and COVID-19 Research (16 papers)Animal Virus Infections Studies (10 papers)Viral gastroenteritis research and epidemiology (6 papers)

In The Last Decade

Kenneth H. Dinnon

25 papers receiving 1.9k citations

Hit Papers

Broad spectrum antiviral remdesivir inhibits human endemi...20192026202120232019100200300

Peers

Kenneth H. Dinnon
Comparison fields: 5 of 106
  • Infectious Diseases 1.6k
  • Animal Science and Zoology 388
  • Neurology 295
  • Molecular Biology 271
  • Epidemiology 248
Replace Rita E. Chen with:
Rita E. Chen United States
Lili Wu China
James Brett Case United States
Emma S. Winkler United States
Chengpeng Qiao China
Hongjie Xia United States
Rebecca Penn United Kingdom
Paul W. Rothlauf United States
Heike Hofmann-Winkler Germany
Kenneth H. Dinnon relative to Rita E. Chen United States Rita E. Chen's profile →
Citations per field
00.5×4.2×
Rita E. Chen · 1×
Citations per year

Countries citing papers authored by Kenneth H. Dinnon

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth H. Dinnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth H. Dinnon. 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 Kenneth H. Dinnon. The network helps show where Kenneth H. Dinnon may publish in the future.

Co-authorship network of co-authors of Kenneth H. Dinnon

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth H. Dinnon. A scholar is included among the top collaborators of Kenneth H. Dinnon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenneth H. Dinnon. Kenneth H. Dinnon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 9
3 18
4 16
5 55
6 7
7 4
8 1
9 13
10 59
11 332
12 71
13 381
14 48
15 111
16
Broad spectrum antiviral remdesivir inhibits human endemic and zoonotic deltacoronaviruses with a highly divergent RNA dependent RNA polymerasebreakdown →
372
17 145
18 86
19 111
20 12

About Kenneth H. Dinnon

Kenneth H. Dinnon is a scholar working on Infectious Diseases, Animal Science and Zoology and Insect Science, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), Animal Virus Infections Studies (10 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Animal Science and Zoology (388 citations) and Neurology (295 citations). Kenneth H. Dinnon has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Ralph S. Baric, Timothy P. Sheahan, Ariane J. Brown, Rachel L. Graham, Sarah R. Leist, Lisa E. Gralinski, Boyd L. Yount, Amy Sims, Alexandra Schäfer and Yixuan J. Hou. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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