John W. Schoggins

13.3k total citations · 7 hit papers
74 papers, 8.0k citations indexed

About

John W. Schoggins is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, John W. Schoggins has authored 74 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 28 papers in Infectious Diseases and 24 papers in Molecular Biology. Recurrent topics in John W. Schoggins's work include interferon and immune responses (33 papers), Viral Infections and Vectors (15 papers) and Mosquito-borne diseases and control (12 papers). John W. Schoggins is often cited by papers focused on interferon and immune responses (33 papers), Viral Infections and Vectors (15 papers) and Mosquito-borne diseases and control (12 papers). John W. Schoggins collaborates with scholars based in United States, United Kingdom and Singapore. John W. Schoggins's co-authors include Charles M. Rice, Sam J. Wilson, Paul D. Bieniasz, Christopher T. Jones, Mary Y. Murphy, Maryline Panis, Michael Diamond, Helen M. Lazear, Erik Falck-Pedersen and Alice P. Pentland and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

John W. Schoggins

68 papers receiving 7.9k citations

Hit Papers

A diverse range of gene products are effectors of the typ... 2011 2026 2016 2021 2011 2011 2019 2019 2013 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A diverse range of gene products are effectors of the type I interferon antiviral response
    2011 1.8k citations John W. Schoggins, Sam J. Wilson et al. profile →
  2. Interferon-stimulated genes and their antiviral effector functions
    2011 962 citations John W. Schoggins, Charles M. Rice profile →
  3. Shared and Distinct Functions of Type I and Type III Interferons
    2019 761 citations John W. Schoggins et al. profile →
  4. Interferon-Stimulated Genes: What Do They All Do?
    2019 672 citations John W. Schoggins profile →
  5. MX2 is an interferon-induced inhibitor of HIV-1 infection
    2013 395 citations Julia Bitzegeio, Sebla B. Kutluay et al. profile →
  6. A genetically humanized mouse model for hepatitis C virus infection
    2011 270 citations John W. Schoggins, Charles M. Rice et al. profile →
  7. IFNβ-dependent increases in STAT1, STAT2, and IRF9 mediate resistance to viruses and DNA damage
    2013 254 citations John W. Schoggins, Naoko Imanaka et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John W. Schoggins United States 34 4.0k 2.3k 2.3k 1.9k 978 74 8.0k
Georg Kochs Germany 61 6.3k 1.6× 4.8k 2.1× 3.1k 1.3× 4.1k 2.2× 1.2k 1.3× 147 13.6k
Ulrich Kalinke Germany 58 8.2k 2.1× 3.8k 1.6× 2.1k 0.9× 2.3k 1.3× 2.1k 2.1× 241 14.1k
Søren R. Paludan Denmark 64 9.1k 2.3× 5.0k 2.1× 2.7k 1.1× 3.9k 2.1× 1.7k 1.7× 169 14.2k
Rune Hartmann Denmark 46 4.8k 1.2× 2.7k 1.1× 2.2k 0.9× 1.9k 1.0× 1.0k 1.0× 99 8.0k
Bernhard Fleischer Germany 59 5.2k 1.3× 1.9k 0.8× 2.5k 1.0× 2.8k 1.5× 1.6k 1.6× 299 12.0k
Maryline Panis United States 17 2.3k 0.6× 1.9k 0.8× 2.9k 1.2× 2.1k 1.1× 493 0.5× 25 7.2k
Sean Proll United States 38 3.1k 0.8× 2.4k 1.0× 1.1k 0.5× 2.2k 1.2× 724 0.7× 82 7.2k
Andreas Pichlmair Germany 35 4.4k 1.1× 2.9k 1.3× 2.2k 0.9× 1.7k 0.9× 575 0.6× 83 7.5k
Benjamin R. tenOever United States 50 5.3k 1.3× 4.0k 1.7× 4.4k 1.9× 2.5k 1.3× 1.2k 1.2× 103 11.5k
Cevayir Coban Japan 42 7.9k 2.0× 3.2k 1.3× 1.5k 0.6× 1.9k 1.0× 914 0.9× 87 10.4k

Countries citing papers authored by John W. Schoggins

Since Specialization
Citations

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

Fields of papers citing papers by John W. Schoggins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Schoggins. 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 John W. Schoggins. The network helps show where John W. Schoggins may publish in the future.

Co-authorship network of co-authors of John W. Schoggins

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Schoggins. A scholar is included among the top collaborators of John W. Schoggins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John W. Schoggins. John W. Schoggins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kober, Daniel L., Jennifer L. Eitson, Ian N. Boys, et al.. (2024). Development of a mutant aerosolized ACE2 that neutralizes SARS-CoV-2 in vivo. mBio. 15(6). e0076824–e0076824.
2.
Xie, Yifan, Jie Cao, Ling-Dong Xu, et al.. (2024). TRIM32 inhibits Venezuelan equine encephalitis virus infection by targeting a late step in viral entry. PLoS Pathogens. 20(11). e1012312–e1012312. 3 indexed citations
3.
Lee, Eunice E., Francesca Lee, John W. Schoggins, et al.. (2024). West Nile virus encephalitis presenting with a vesicular dermatitis. JAAD Case Reports. 45. 117–122.
4.
Heisler, David B., Kristen Johnson, Maikke B. Ohlson, et al.. (2023). A concerted mechanism involving ACAT and SREBPs by which oxysterols deplete accessible cholesterol to restrict microbial infection. eLife. 12. 20 indexed citations
5.
McDougal, Matthew B., et al.. (2023). Interferon inhibits a model RNA virus via a limited set of inducible effector genes. EMBO Reports. 24(9). e56901–e56901. 12 indexed citations
6.
Ahmed, Mahmoud, Yanqiu Shao, Chao Xing, et al.. (2022). The Use of Mebendazole in COVID-19 Patients: An Observational Retrospective Single Center Study. Advances in Virology. 2022. 1–6. 3 indexed citations
7.
Iwanami, Shoya, Katrina B. Mar, Naoko Misawa, et al.. (2022). Antithetic effect of interferon-α on cell-free and cell-to-cell HIV-1 infection. PLoS Computational Biology. 18(4). e1010053–e1010053. 2 indexed citations
8.
Horváth, Attila, Gergely Nagy, Szilárd Póliska, et al.. (2022). A Multi-Omics Approach Reveals Features That Permit Robust and Widespread Regulation of IFN-Inducible Antiviral Effectors. The Journal of Immunology. 209(10). 1930–1941. 2 indexed citations
9.
Li, Elizabeth, Jun Guo, Yerim Kim, et al.. (2021). Anterograde transneuronal tracing and genetic control with engineered yellow fever vaccine YFV-17D. Nature Methods. 18(12). 1542–1551. 20 indexed citations
10.
Boys, Ian N., Katrina B. Mar, & John W. Schoggins. (2021). Functional-genomic analysis reveals intraspecies diversification of antiviral receptor transporter proteins in Xenopus laevis. PLoS Genetics. 17(5). e1009578–e1009578. 3 indexed citations
11.
Rinkenberger, Nicholas, Michael E. Abrams, Sumit K. Matta, et al.. (2021). Overexpression screen of interferon-stimulated genes identifies RARRES3 as a restrictor of Toxoplasma gondii infection. eLife. 10. 15 indexed citations
12.
Hanners, Natasha W., Katrina B. Mar, Ian N. Boys, et al.. (2021). Shiftless inhibits flavivirus replication in vitro and is neuroprotective in a mouse model of Zika virus pathogenesis. Proceedings of the National Academy of Sciences. 118(49). 20 indexed citations
13.
Oers, Nicolai S. C. van, Natasha W. Hanners, Paul K. Sue, et al.. (2021). SARS-CoV-2 infection associated with hepatitis in an infant with X-linked severe combined immunodeficiency. Clinical Immunology. 224. 108662–108662. 12 indexed citations
14.
Mar, Katrina B., Nicholas Rinkenberger, Ian N. Boys, et al.. (2018). LY6E mediates an evolutionarily conserved enhancement of virus infection by targeting a late entry step. Nature Communications. 9(1). 3603–3603. 93 indexed citations
15.
Cruz-Rivera, Pamela C. De La, Mohammed Kanchwala, Hanquan Liang, et al.. (2017). The IFN Response in Bats Displays Distinctive IFN-Stimulated Gene Expression Kinetics with Atypical RNASEL Induction. The Journal of Immunology. 200(1). 209–217. 66 indexed citations
16.
Rosenberg, Brad R., Catherine A. Freije, Naoko Imanaka, et al.. (2017). Genetic Variation at IFNL4 Influences Extrahepatic Interferon-Stimulated Gene Expression in Chronic HCV Patients. The Journal of Infectious Diseases. 217(4). 650–655. 15 indexed citations
17.
Schoggins, John W. & Glenn Randall. (2013). Lipids in Innate Antiviral Defense. Cell Host & Microbe. 14(4). 379–385. 71 indexed citations
18.
Li, Melody M. H., et al.. (2012). Multiple Interferon Stimulated Genes Synergize with the Zinc Finger Antiviral Protein to Mediate Anti-Alphavirus Activity. PLoS ONE. 7(5). e37398–e37398. 63 indexed citations
19.
Wilson, Sam J., John W. Schoggins, Trinity Zang, et al.. (2012). Inhibition of HIV-1 Particle Assembly by 2′,3′-Cyclic-Nucleotide 3′-Phosphodiesterase. Cell Host & Microbe. 12(4). 585–597. 47 indexed citations
20.
Dı́az, Fernando, Diego Gravotta, Ami A. Deora, et al.. (2009). Clathrin adaptor AP1B controls adenovirus infectivity of epithelial cells. Proceedings of the National Academy of Sciences. 106(27). 11143–11148. 59 indexed citations

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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