William Ryan Easterday

2.4k citations
25 papers · 1.7k · h-index 18

Impact in

    • Vector-borne infectious diseases
  • Genetics top 2%
    • Yersinia bacterium, plague, ectoparasites research
    • Bacterial Genetics and Biotechnology

Papers in

    • Vector-borne infectious diseases 10
    • Yersinia bacterium, plague, ectoparasites research 12

William Ryan Easterday

25 papers receiving 1.6k citations

Peers

William Ryan Easterday
Comparison fields: 5 of 102
  • Parasitology 274
  • Genetics 922
  • Endocrinology 114
  • Ecology 409
  • Molecular Biology 979
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Citations per year

Countries citing papers authored by William Ryan Easterday

Since Specialization
Citations

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

Fields of papers citing papers by William Ryan Easterday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Ryan Easterday. 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 William Ryan Easterday. The network helps show where William Ryan Easterday may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004409
2 2007323
3 2015202
4 200699
5 200985
6 201874
7 201666
8 200562
9 201662
10 201054
11 201354
12 200545
13 200533
14 202033
15 201831
16 200425
17 201125
18 201920
19 201710
20 202010

About William Ryan Easterday

William Ryan Easterday is a scholar working on Parasitology, Genetics, Insect Science, Molecular Biology and Infectious Diseases, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (13 papers), Yersinia bacterium, plague, ectoparasites research (12 papers), Vector-borne infectious diseases (10 papers), Zoonotic diseases and public health (5 papers), Bacteriophages and microbial interactions (5 papers), Viral Infections and Vectors (4 papers), Identification and Quantification in Food (2 papers) and Bee Products Chemical Analysis (2 papers). The work is most often cited by research in Parasitology (274 citations), Genetics (922 citations), Endocrinology (114 citations), Ecology (409 citations) and Molecular Biology (979 citations). William Ryan Easterday has collaborated with scholars based in Norway, United States and China. Frequent co-authors include Paul Keim, Nils Chr. Stenseth, Matthew N. Van Ert, David M. Wagner, Christopher J. Allender, Boris V. Schmid, Christian Ginzler, Lars Walløe, Ulf Büntgen and Barbara Bramanti. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Microbiology, BioTechniques, Parasites & Vectors and BMC 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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