Christopher E. Yi

662 citations
9 papers · 563 · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
  • Virology top 10%
    • Poxvirus research and outbreaks

Papers in

Christopher E. Yi

9 papers receiving 545 citations

Peers

Christopher E. Yi
Comparison fields: 5 of 42
  • Infectious Diseases 371
  • Virology 36
  • Drug Discovery 1
  • Molecular Biology 114
  • Animal Science and Zoology 8
Replace Naoto Mamiya with:
Naoto Mamiya Japan
Rachelle L. Stammen United States
Sandra Inwentarz Argentina
Chi-I Chiang United States
Palmira Barreira‐Silva Portugal
Jordan Thomas United Kingdom
Sandra M. Mueller-Schmucker Germany
Michael Yik-Chun Wong Hong Kong
Christine Defer France
Shulong Zu China
Christopher E. Yi relative to Naoto Mamiya Japan Naoto Mamiya's profile →
Citations per field
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Naoto Mamiya · 1×
Citations per year

Countries citing papers authored by Christopher E. Yi

Since Specialization
Citations

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

Fields of papers citing papers by Christopher E. Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher E. Yi. 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 Christopher E. Yi. The network helps show where Christopher E. Yi may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2005166
2 2005161
3 201581
4 200554
5 200746
6 200331
7 200715
8 20136
9 20223

About Christopher E. Yi

Christopher E. Yi is a scholar working on Infectious Diseases, Obstetrics and Gynecology, Rheumatology, Molecular Biology and Surgery, having authored 9 papers that have together received 563 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Developmental Biology and Gene Regulation (2 papers), Congenital heart defects research (2 papers), RNA Interference and Gene Delivery (1 paper), Omental and Epiploic Conditions (1 paper), Gynecological conditions and treatments (1 paper), Pediatric Hepatobiliary Diseases and Treatments (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Infectious Diseases (371 citations), Virology (36 citations), Drug Discovery (1 citation), Molecular Biology (114 citations) and Animal Science and Zoology (8 citations). Christopher E. Yi has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include David D. Ho, Zhiwei Chen, Linqi Zhang, Lei Ba, Wenjie Yu, He Tian, Jian Yu, Fengwen Zhang, Michael Farzan and Kwok‐Yung Yuen. Their work appears in journals such as Journal of Virology, Developmental Cell, Journal of Cellular and Molecular Medicine, Journal of Medical Virology and Applied Microbiology and 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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