Jamie Wasilenko

3.3k citations
30 papers · 2.0k · 1 hit paper · h-index 22

Impact in

Papers in

Jamie Wasilenko

29 papers receiving 1.9k citations

Jamie Wasilenko's Hit Papers

Validating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolates 2019 · 912 citations
9120+2+4Years since publication250500750

Peers

Jamie Wasilenko
Comparison fields: 5 of 88
  • Molecular Medicine 525
  • Endocrinology 372
  • Infectious Diseases 514
  • Food Science 526
  • Agronomy and Crop Science 264
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Anno de Jong Germany
Marianne Nielsine Skov Denmark
Hosny El‐Adawy Germany
Jorge Rodrigues Portugal
Tetsuo Asai Japan
M. Concepción Porrero Spain
Farid El Garch France
Björn Bengtsson Sweden
Andrea Luppi Italy
Lourdes Migura‐García Spain
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Citations per year

Countries citing papers authored by Jamie Wasilenko

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Wasilenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie Wasilenko. 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 Jamie Wasilenko. The network helps show where Jamie Wasilenko may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Validating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolates
Hit paper breakdown →
2019912
2 2019114
3 201880
4 200872
5 201071
6 201164
7 200946
8 202044
9 201244
10 201043
11 200942
12 201239
13 201238
14 200838
15 201235
16 201834
17 201433
18 201433
19 201032
20 200428

About Jamie Wasilenko

Jamie Wasilenko is a scholar working on Infectious Diseases, Epidemiology, Food Science, Agronomy and Crop Science and Endocrinology, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), Salmonella and Campylobacter epidemiology (9 papers), Viral gastroenteritis research and epidemiology (8 papers), Animal Disease Management and Epidemiology (7 papers), Escherichia coli research studies (6 papers), Antibiotic Resistance in Bacteria (5 papers), Viral Infections and Vectors (5 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Molecular Medicine (525 citations), Endocrinology (372 citations), Infectious Diseases (514 citations), Food Science (526 citations) and Agronomy and Crop Science (264 citations). Jamie Wasilenko has collaborated with scholars based in United States, Vietnam and Pakistan. Frequent co-authors include Mary J. Pantin‐Jackwood, Mustafa Simmons, Glenn E. Tillman, Jason P. Folster, Gregory H. Tyson, Chih-Hao Hsu, Patrick F. McDermott, Luciana Sarmento, Daniel A. Tadesse and Cesar A. Morales. Their work appears in journals such as Journal of Food Protection, Avian Diseases, Archives of Virology, Journal of Virology and Journal of Clinical Microbiology.

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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