Eric Yu

736 citations
15 papers · 596 · h-index 11

Impact in

  • Virology top 10%
    • Poxvirus research and outbreaks
    • interferon and immune responses
    • Immune Response and Inflammation

Papers in

    • RNA modifications and cancer 3
    • Inflammasome and immune disorders 3
    • RNA Research and Splicing 2
    • RNA and protein synthesis mechanisms 2
    • Cell death mechanisms and regulation 2
    • Poxvirus research and outbreaks 3

Eric Yu

14 papers receiving 592 citations

Peers

Eric Yu
Comparison fields: 5 of 76
  • Virology 72
  • Immunology 215
  • Molecular Biology 376
  • Organic Chemistry 83
  • Nephrology 18
Replace Sayaka Ito with:
Sayaka Ito Japan
Darinka Sakac Canada
Н. А. Черепанова Russia
John M. Reno United States
Josmar Langner Germany
M Shaharabany Israel
Amélie Weiss France
Indhira Handy United States
Chun Cai United States
Hélène Gras France
Eric Yu relative to Sayaka Ito Japan Sayaka Ito's profile →
Citations per field
00.5×
Sayaka Ito · 1×
Citations per year

Countries citing papers authored by Eric Yu

Since Specialization
Citations

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

Fields of papers citing papers by Eric Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2014184
2 2010105
3 201385
4 201555
5 200945
6 201738
7 201123
8 201818
9 200715
10 202211
11 201011
12 20233
13 20172
14 20241
15 20240

About Eric Yu

Eric Yu is a scholar working on Molecular Biology, Virology, Immunology, Infectious Diseases and Cancer Research, having authored 15 papers that have together received 596 indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (3 papers), interferon and immune responses (3 papers), RNA modifications and cancer (3 papers), Inflammasome and immune disorders (3 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers), Cell death mechanisms and regulation (2 papers) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Virology (72 citations), Immunology (215 citations), Molecular Biology (376 citations), Organic Chemistry (83 citations) and Nephrology (18 citations). Eric Yu has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Robert Liddington, John C. Reed, Dayong Zhai, Ramanjaneyulu Allam, Benjamin T. Kile, Kylie D. Mason, M. J. D. White, Kate E. Lawlor, Katryn J. Stacey and Rowena S. Lewis. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Neurosignals, Journal of General Virology and Biopolymers.

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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