Eric M. Walton

887 citations
11 papers · 637 indexed · h-index 10

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Aquaculture disease management and microbiota
    • Immune Response and Inflammation
    • Tuberculosis Research and Epidemiology

Papers in

Eric M. Walton

11 papers receiving 631 citations

Peers

Eric M. Walton
Comparison fields: 5 of 89
  • Immunology 238
  • Infectious Diseases 177
  • Pharmacology 75
  • Cell Biology 136
  • Physiology 23
Replace Simona Piccirella with:
Simona Piccirella Italy
Deyan Chen China
Chunmei Li China
Hye‐Mi Lee South Korea
Daniel W. Siemsen United States
Katherine A. Mattos Brazil
Elisabeth G. Foerster Canada
Takayuki Uematsu Japan
Karina Furlani Zoccal Brazil
Eric M. Walton relative to Simona Piccirella Italy Simona Piccirella's profile →
Citations per field
00.5×2.6×
Simona Piccirella · 1×
Citations per year

Countries citing papers authored by Eric M. Walton

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Walton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 20237
2 202211
3 20219
4 202138
5 201943
6 201841
7 201732
8 2015116
9 2014205
10 201228
11 2003107

About Eric M. Walton

Eric M. Walton is a scholar working on Business and International Management, Immunology, Physiology, Cell Biology and Pharmacology, having authored 11 papers that have together received 637 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), CRISPR and Genetic Engineering (3 papers), Virus-based gene therapy research (2 papers), Signaling Pathways in Disease (2 papers), RNA Interference and Gene Delivery (2 papers), Zebrafish Biomedical Research Applications (2 papers), Aquaculture disease management and microbiota (2 papers) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Immunology (238 citations), Infectious Diseases (177 citations), Pharmacology (75 citations), Cell Biology (136 citations) and Physiology (23 citations). Eric M. Walton has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include David M. Tobin, Mark R. Cronan, Rebecca W. Beerman, Stefan H. Oehlers, Philip S. Crosier, Ninecia R. Scott, Kazuhide S. Okuda, Jim A. Turpin, Victor E. Buckwold and Robert W. Buckheit. Their work appears in journals such as Cell Host & Microbe, Journal of Cell Science, Cell Reports, Eukaryotic Cell and eLife.

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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