Avery Peace

896 citations
5 papers · 358 · 1 hit paper · h-index 3

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • interferon and immune responses

Papers in

Avery Peace

5 papers receiving 353 citations

Avery Peace's Hit Papers

Genome-Scale Identification of SARS-CoV-2 and Pan-coronavirus Host Factor Networks 2020 · 243 citations
2430+2+4Years since publication50100150200

Peers

Avery Peace
Comparison fields: 5 of 56
  • Infectious Diseases 222
  • Immunology 84
  • Animal Science and Zoology 26
  • Physiology 11
  • Molecular Biology 162
Replace Ansgar F. Stenzel with:
Ansgar F. Stenzel Germany
Oded Danziger Israel
Keith Walcott United States
Katherine Travisano United States
Yafei Qu China
Inna Ricardo-Lax United States
Yue Ma‐Lauer Germany
Yuanfei Zhu China
Alessandro Cinti Canada
Jae Seung Lee United States
Avery Peace relative to Ansgar F. Stenzel Germany Ansgar F. Stenzel's profile →
Citations per field
00.5×1.5×
Ansgar F. Stenzel · 1×
Citations per year

Countries citing papers authored by Avery Peace

Since Specialization
Citations

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

Fields of papers citing papers by Avery Peace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1
Genome-Scale Identification of SARS-CoV-2 and Pan-coronavirus Host Factor Networks
Hit paper breakdown →
2020243
2 2020108
3 20205
4 20241
5 20251

About Avery Peace

Avery Peace is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology, Animal Science and Zoology and Insect Science, having authored 5 papers that have together received 358 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Mosquito-borne diseases and control (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Malaria Research and Control (1 paper), Animal Virus Infections Studies (1 paper), CRISPR and Genetic Engineering (1 paper), Viral Infections and Vectors (1 paper) and Vector-borne infectious diseases (1 paper). The work is most often cited by research in Infectious Diseases (222 citations), Immunology (84 citations), Animal Science and Zoology (26 citations), Physiology (11 citations) and Molecular Biology (162 citations). Avery Peace has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Joseph M. Luna, Inna Ricardo-Lax, Scott W. Lowe, Charles M. Rice, Alison W. Ashbrook, Jérémie Le Pen, Hans-Heinrich Hoffmann, Eleftherios Michailidis, William M. Schneider and Ansgar F. Stenzel. Their work appears in journals such as Pharmaceutics, Cell, Proceedings of the National Academy of Sciences, Cell Host & Microbe and Vector-Borne and Zoonotic Diseases.

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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