Eri Seto

732 citations
13 papers · 643 · h-index 8

Impact in

  • Oncology top 10%
    • Viral-associated cancers and disorders
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Viral-associated cancers and disorders 6
    • Diet and metabolism studies 3

Eri Seto

12 papers receiving 637 citations

Peers

Eri Seto
Comparison fields: 5 of 50
  • Oncology 436
  • Cancer Research 165
  • Pathology and Forensic Medicine 114
  • Immunology 135
  • Infectious Diseases 88
Replace Stacy R. Hagemeier with:
Stacy R. Hagemeier United States
Kathleen R. Makielski United States
Katherine Fries United States
L. Karran United Kingdom
Shidong Ma United States
Tiffany Jones United States
Ai-Jun Zhou China
Samantha Correia United Kingdom
Nadine Meru Germany
Farnaz D. Fakhari United States
Eri Seto relative to Stacy R. Hagemeier United States Stacy R. Hagemeier's profile →
Citations per field
00.5×2×3×4×4.9×
Stacy R. Hagemeier · 1×
Citations per year

Countries citing papers authored by Eri Seto

Since Specialization
Citations

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

Fields of papers citing papers by Eri Seto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2010191
2 2013149
3 200599
4 201090
5 200835
6 201726
7 201520
8 200016
9 20148
10
Epstein-Barr virus (EBV)-encoded BARF1 gene is expressed in nasopharyngeal carcinoma and EBV-associated gastric carcinoma tissues in the absence of lytic gene expression.
20056
11 20152
12 20011
13 20250

About Eri Seto

Eri Seto is a scholar working on Oncology, Physiology, Infectious Diseases, Epidemiology and Immunology, having authored 13 papers that have together received 643 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (6 papers), Parvovirus B19 Infection Studies (3 papers), Diet and metabolism studies (3 papers), Trypanosoma species research and implications (2 papers), RNA regulation and disease (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Immune Cell Function and Interaction (2 papers) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Oncology (436 citations), Cancer Research (165 citations), Pathology and Forensic Medicine (114 citations), Immunology (135 citations) and Infectious Diseases (88 citations). Eri Seto has collaborated with scholars based in Japan, Netherlands and Germany. Frequent co-authors include Adam T. Grundhoff, Wolfgang Hammerschmidt, Nicole Walz, Andreas Moosmann, Sebastian Grömminger, Jaap Michiel Middeldorp, Kenzo Takada, Mitchell Hayes, Takanobu Tagawa and Bill Sugden. Their work appears in journals such as Cancer Research, Journal of Medical Virology, PLoS Pathogens, International Journal of Cancer and Gastroenterology.

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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