Eric Ailor

797 citations
9 papers · 517 · h-index 8

Impact in

    • Transgenic Plants and Applications
    • Viral Infectious Diseases and Gene Expression in Insects
    • Glycosylation and Glycoproteins Research
    • Insect Resistance and Genetics
    • CRISPR and Genetic Engineering

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 7
    • Glycosylation and Glycoproteins Research 2
    • Insect Resistance and Genetics 2
    • Toxin Mechanisms and Immunotoxins 3
    • Invertebrate Immune Response Mechanisms 1

Eric Ailor

9 papers receiving 503 citations

Peers

Eric Ailor
Comparison fields: 5 of 65
  • Biotechnology 138
  • Molecular Biology 430
  • Immunology 110
  • Radiology, Nuclear Medicine and Imaging 58
  • Genetics 67
Replace Shawn Lawrence with:
Shawn Lawrence United States
Akemi Ikeda Japan
Bojiao Yin United States
Natarajan Sethuraman United States
Robert G. Miele United States
James E. Rowedder United Kingdom
Chu‐Wei Kuo Taiwan
Bo Ersson Sweden
A. Etienne United Kingdom
Steven Geysens Belgium
Eric Ailor relative to Shawn Lawrence United States Shawn Lawrence's profile →
Citations per field
00.5×3.9×
Shawn Lawrence · 1×
Citations per year

Countries citing papers authored by Eric Ailor

Since Specialization
Citations

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

Fields of papers citing papers by Eric Ailor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2001166
2 200679
3 199978
4 200065
5 199854
6 201340
7 199920
8 199612
9 19983

About Eric Ailor

Eric Ailor is a scholar working on Molecular Biology, Immunology, Biotechnology, Organic Chemistry and Physiology, having authored 9 papers that have together received 517 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (7 papers), Toxin Mechanisms and Immunotoxins (3 papers), Transgenic Plants and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers), Insect Resistance and Genetics (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Biotechnology (138 citations), Molecular Biology (430 citations), Immunology (110 citations), Radiology, Nuclear Medicine and Imaging (58 citations) and Genetics (67 citations). Eric Ailor has collaborated with scholars based in United States and Japan. Frequent co-authors include Michael J. Betenbaugh, Shawn Lawrence, Yuan C. Lee, Noboru Tomiya, Douglas G. Osborne, J. Marie Hardwick, Mitchell E. Reff, Bruno Figueroa, Naoki Takahashi and Yoshinori Tsukamoto. Their work appears in journals such as Biotechnology and Bioengineering, Biochemistry, Analytical Biochemistry, Glycobiology and Current Opinion in Biotechnology.

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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