R E Smith

2.7k citations
62 papers · 2.5k · 2 hit papers · h-index 24

Impact in

Papers in

R E Smith

61 papers receiving 2.2k citations

R E Smith's Hit Papers

Polypeptide components of virions, top component and cores of reovirus type 3 1969 · 590 citations
5900+19+38Years since publication200400600

Peers

R E Smith
Comparison fields: 5 of 115
  • Animal Science and Zoology 482
  • Infectious Diseases 545
  • Physiology 691
  • Genetics 729
  • Virology 75
Replace S. Harvey with:
S. Harvey United States
J. Russell Lindsey United States
Ann E. Sluder United States
Ioannis Bossis United States
James D. Murray United States
Marie‐Anne Shaw United Kingdom
Stephen K. Chapes United States
Shigeru Kyuwa Japan
Rui Fang China
Louis J. DeTolla United States
R E Smith relative to S. Harvey United States S. Harvey's profile →
Citations per field
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Citations per year

Countries citing papers authored by R E Smith

Since Specialization
Citations

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

Fields of papers citing papers by R E Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Brown fat and thermogenesis.
Hit paper breakdown →
1969645
2
Polypeptide components of virions, top component and cores of reovirus type 3
Hit paper breakdown →
1969590
3 1976115
4 198896
5 198368
6 197761
7 197851
8 197444
9 198039
10 198336
11 197135
12 197834
13 197034
14 198232
15 198730
16 198029
17 198427
18 196425
19 198425
20 199725

About R E Smith

R E Smith is a scholar working on Animal Science and Zoology, Molecular Biology, Genetics, Epidemiology and Physiology, having authored 62 papers that have together received 2.5k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (21 papers), Virus-based gene therapy research (14 papers), Adipose Tissue and Metabolism (12 papers), Herpesvirus Infections and Treatments (10 papers), Viral gastroenteritis research and epidemiology (6 papers), RNA Research and Splicing (5 papers), Bone Metabolism and Diseases (5 papers) and Animal Nutrition and Physiology (5 papers). The work is most often cited by research in Animal Science and Zoology (482 citations), Infectious Diseases (545 citations), Physiology (691 citations), Genetics (729 citations) and Virology (75 citations). R E Smith has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Barbara A. Horwitz, Wolfgang K. Joklik, Hans J. Zweerink, Linda J. Van Eldik, W S Hayward, A.J. Banes, Thomas Vanaman, D. Martin Watterson, Jonathan Leis and Kristina Quade. Their work appears in journals such as Journal of Virology, Virology, Infection and Immunity, Cellular and Molecular Life Sciences and American Journal of Veterinary Research.

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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