Frederick L. Schaffer

2.4k citations
60 papers · 2.0k · h-index 27

Impact in

Papers in

Frederick L. Schaffer

59 papers receiving 1.7k citations

Peers

Frederick L. Schaffer
Comparison fields: 5 of 126
  • Infectious Diseases 840
  • Animal Science and Zoology 435
  • Cardiology and Cardiovascular Medicine 557
  • Modeling and Simulation 83
  • Agronomy and Crop Science 146
Replace Timothy F. Booth with:
Timothy F. Booth Canada
Lawrence S. Sturman United States
Michelle M. Becker United States
Jie Dong China
Caroline Tapparel Switzerland
Frank L. Horsfall United States
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Frederick L. Schaffer relative to Timothy F. Booth Canada Timothy F. Booth's profile →
Citations per field
00.5×2×4×5.7×
Timothy F. Booth · 1×
Citations per year

Countries citing papers authored by Frederick L. Schaffer

Since Specialization
Citations

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

Fields of papers citing papers by Frederick L. Schaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederick L. Schaffer. 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 Frederick L. Schaffer. The network helps show where Frederick L. Schaffer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976243
2 1953102
3 195789
4 195587
5 197882
6 195679
7 195972
8 196266
9 199764
10 199563
11 196559
12 198059
13 195356
14 196454
15 195748
16 198048
17 196747
18 198545
19 196844
20 195543

About Frederick L. Schaffer

Frederick L. Schaffer is a scholar working on Infectious Diseases, Animal Science and Zoology, Cardiology and Cardiovascular Medicine, Ecology and Molecular Biology, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (22 papers), Animal Virus Infections Studies (21 papers), Viral Infections and Immunology Research (18 papers), Bacteriophages and microbial interactions (15 papers), Virus-based gene therapy research (8 papers), Plant Virus Research Studies (5 papers), Virology and Viral Diseases (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Infectious Diseases (840 citations), Animal Science and Zoology (435 citations), Cardiology and Cardiovascular Medicine (557 citations), Modeling and Simulation (83 citations) and Agronomy and Crop Science (146 citations). Frederick L. Schaffer has collaborated with scholars based in United States, Czechia and Israel. Frequent co-authors include C. E. Schwerdt, M. E. Soergel, Paul L. Kirk, A. J. Hackett, Rex S. Spendlove, S. H. Madin, Benjamin W. Grunbaum, George L. Le Bouvier, Arnon Nagler and Benjamin Nisman. Their work appears in journals such as Virology, Journal of Virology, Analytical Chemistry, Archives of Virology and Experimental Biology and Medicine.

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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