Jason E. Shoemaker
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Virology and Viral Diseases
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- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
Papers in
- Epidemiology 18
- Influenza Virus Research Studies 17
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- Bioinformatics and Genomic Networks 9
- Gene Regulatory Network Analysis 7
- Biomedical Text Mining and Ontologies 1
- Co-authors
- Yoshihiro Kawaoka (13 shared papers)Hiroaki Kitano (9 shared papers)Yukiko Matsuoka (8 shared papers)Tiago J. S. Lopes (6 shared papers)Gabriele Neumann (4 shared papers)Satoshi Fukuyama (8 shared papers)Shinji Watanabe (5 shared papers)Samik Ghosh (2 shared papers)
- Journals
- BMC Systems Biology (4 papers)Viruses (3 papers)PLoS Computational Biology (3 papers)BMC Bioinformatics (2 papers)Journal of Theoretical Biology (2 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Jason E. Shoemaker
42 papers receiving 1k citations
Peers
Comparison fields: 5 of 86
- Epidemiology 430
- Molecular Biology 354
- Immunology 99
- Computational Theory and Mathematics 72
- Infectious Diseases 58
Countries citing papers authored by Jason E. Shoemaker
This map shows the geographic impact of Jason E. Shoemaker'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 Jason E. Shoemaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason E. Shoemaker more than expected).
Fields of papers citing papers by Jason E. Shoemaker
This network shows the impact of papers produced by Jason E. Shoemaker. 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 Jason E. Shoemaker. The network helps show where Jason E. Shoemaker may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason E. Shoemaker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 242 | |
| 2 | 2015 | 102 | |
| 3 | 2013 | 98 | |
| 4 | 2012 | 78 | |
| 5 | 2013 | 64 | |
| 6 | 2021 | 58 | |
| 7 | 2014 | 46 | |
| 8 | 2011 | 42 | |
| 9 | 2017 | 38 | |
| 10 | 2015 | 31 | |
| 11 | 2015 | 27 | |
| 12 | 2018 | 25 | |
| 13 | 2008 | 21 | |
| 14 | 2010 | 19 | |
| 15 | 2012 | 18 | |
| 16 | 2010 | 15 | |
| 17 | 2018 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 2021 | 12 | |
| 20 | 2021 | 12 |
About Jason E. Shoemaker
Jason E. Shoemaker is a scholar working on Epidemiology, Molecular Biology, Immunology, Computational Theory and Mathematics and Infectious Diseases, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (17 papers), Bioinformatics and Genomic Networks (9 papers), Gene Regulatory Network Analysis (7 papers), interferon and immune responses (5 papers), Computational Drug Discovery Methods (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Epidemiology (430 citations), Molecular Biology (354 citations), Immunology (99 citations), Computational Theory and Mathematics (72 citations) and Infectious Diseases (58 citations). Jason E. Shoemaker has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Yoshihiro Kawaoka, Hiroaki Kitano, Yukiko Matsuoka, Tiago J. S. Lopes, Gabriele Neumann, Satoshi Fukuyama, Shinji Watanabe, Samik Ghosh, Francis J. Doyle and Amie J. Eisfeld. Their work appears in journals such as BMC Systems Biology, Viruses, PLoS Computational Biology, BMC Bioinformatics and Journal of Theoretical Biology.
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.