Samuel Pattillo Smith

421 citations
12 papers · 118 · h-index 7

Impact in

    • Rabies epidemiology and control
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology

Papers in

    • Genetic and phenotypic traits in livestock 6
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Genetic Associations and Epidemiology 4
    • Forensic and Genetic Research 1
    • Rabies epidemiology and control 3

Samuel Pattillo Smith

12 papers receiving 118 citations

Peers

Samuel Pattillo Smith
Comparison fields: 5 of 41
  • Virology 22
  • Infectious Diseases 48
  • Genetics 52
  • Equine 2
  • Microbiology 5
Replace David Ng’ang’a with:
David Ng’ang’a United States
Lily Parenteau United States
Duncan Bellamy United Kingdom
Susana Posada-Céspedes Switzerland
Alexander Artyomenko United States
Yukari Itakura Japan
Sven Kratochvil United States
Lynne A. Isopi United States
Shannon G. M. Kirejczyk United States
Maozhou He China
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Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Samuel Pattillo Smith

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Pattillo Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Pattillo Smith. 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 Samuel Pattillo Smith. The network helps show where Samuel Pattillo Smith may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202024
2 202120
3 201919
4 202217
5 20229
6 20207
7 20217
8 20196
9 20243
10 20233
11 20222
12 20241

About Samuel Pattillo Smith

Samuel Pattillo Smith is a scholar working on Genetics, Virology, Infectious Diseases, Ecology and Microbiology, having authored 12 papers that have together received 118 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (6 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic Associations and Epidemiology (4 papers), Rabies epidemiology and control (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (2 papers), Microbial infections and disease research (2 papers) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Virology (22 citations), Infectious Diseases (48 citations), Genetics (52 citations), Equine (2 citations) and Microbiology (5 citations). Samuel Pattillo Smith has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Ashley C. Banyard, Sohini Ramachandran, Anthony R. Fooks, Guanghui Wu, Julian K‐C., Ian H. Brown, Shyamalika Gopalan, Nigel Temperton, Katharine L. Korunes and Amy Goldberg. Their work appears in journals such as Viruses, eLife, Philosophical Transactions of the Royal Society B Biological Sciences, Scientific Reports and The American Journal of Human Genetics.

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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