Amy C. Shurtleff

3.6k citations
37 papers · 2.9k · 1 hit paper · h-index 21

Impact in

Papers in

Amy C. Shurtleff

34 papers receiving 2.8k citations

Amy C. Shurtleff's Hit Papers

Therapeutic efficacy of the small molecule GS-5734 against Ebola virus in rhesus monkeys 2016 · 1.3k citations
1.3k0+3+6Years since publication4008001.2k

Peers

Amy C. Shurtleff
Comparison fields: 5 of 78
  • Infectious Diseases 1.5k
  • Chemical Health and Safety 6
  • Computational Theory and Mathematics 118
  • General Dentistry 3
  • Public Health, Environmental and Occupational Health 182
Replace Travis K. Warren with:
Travis K. Warren United States
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Citations per field
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Citations per year

Countries citing papers authored by Amy C. Shurtleff

Since Specialization
Citations

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

Fields of papers citing papers by Amy C. Shurtleff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy C. Shurtleff. 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 Amy C. Shurtleff. The network helps show where Amy C. Shurtleff may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Therapeutic efficacy of the small molecule GS-5734 against Ebola virus in rhesus monkeys
Hit paper breakdown →
20161267
2 2005225
3 2013212
4 2015202
5 2005121
6 2001101
7 201486
8 200181
9 201477
10 201254
11 201248
12 201345
13 202043
14 201139
15 201529
16 202426
17 201224
18 201624
19 201622
20 201822

About Amy C. Shurtleff

Amy C. Shurtleff is a scholar working on Infectious Diseases, Small Animals, Neurology, Molecular Biology and Genetics, having authored 37 papers that have together received 2.9k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (20 papers), Viral Infections and Vectors (3 papers), Bacillus and Francisella bacterial research (2 papers), Genetic diversity and population structure (1 paper), Mosquito-borne diseases and control (1 paper), Biosensors and Analytical Detection (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Botulinum Toxin and Related Neurological Disorders (1 paper). The work is most often cited by research in Infectious Diseases (1.5k citations), Chemical Health and Safety (6 citations), Computational Theory and Mathematics (118 citations), General Dentistry (3 citations) and Public Health, Environmental and Occupational Health (182 citations). Amy C. Shurtleff has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Sina Bavari, Travis K. Warren, Mary C. Guttieri, Mary J. Tanga, Carol E. Green, Lynne G. Gilfillan, Ian D. Manger, Rekha G. Panchal, Robert A. Davey and Peter B. Madrid. Their work appears in journals such as Viruses, Antiviral Research, Expert Opinion on Drug Discovery, PLoS ONE and Cell Reports.

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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