Jason E. Shoemaker
Impact in
-
- interferon and immune responses
- Immune Response and Inflammation
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
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- Bioinformatics and Genomic Networks 10
- Gene Regulatory Network Analysis 8
- Immunology 16
- interferon and immune responses 10
- Immune Response and Inflammation 8
- Immune Cell Function and Interaction 4
- Co-authors
- Yoshihiro Kawaoka (13 shared papers)Hiroaki Kitano (9 shared papers)Yukiko Matsuoka (8 shared papers)Tiago J. S. Lopes (6 shared papers)Satoshi Fukuyama (8 shared papers)Gabriele Neumann (4 shared papers)Shinji Watanabe (5 shared papers)Samik Ghosh (2 shared papers)
- Journals
- BMC Systems Biology (4 papers)PLoS Computational Biology (3 papers)Viruses (3 papers)Bioinformatics (2 papers)Journal of Theoretical Biology (2 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Jason E. Shoemaker
35 papers receiving 659 citations
Peers
Comparison fields: 5 of 94
- Immunology 160
- Epidemiology 205
- Molecular Biology 346
- Computational Theory and Mathematics 88
- Biological Psychiatry 11
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 97 | |
| 2 | 2013 | 91 | |
| 3 | 2012 | 76 | |
| 4 | 2013 | 63 | |
| 5 | 2011 | 42 | |
| 6 | 2017 | 35 | |
| 7 | 2015 | 29 | |
| 8 | 2015 | 25 | |
| 9 | 2018 | 23 | |
| 10 | 2008 | 22 | |
| 11 | 2010 | 19 | |
| 12 | 2012 | 18 | |
| 13 | 2018 | 14 | |
| 14 | 2010 | 14 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2003 | 10 | |
| 18 | 2015 | 9 | |
| 19 | 2020 | 7 | |
| 20 | 2020 | 7 |
About Jason E. Shoemaker
Jason E. Shoemaker is a scholar working on Molecular Biology, Immunology, Epidemiology, Computational Theory and Mathematics and Infectious Diseases, having authored 42 papers that have together received 665 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), interferon and immune responses (10 papers), Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (8 papers), Immune Response and Inflammation (8 papers), Computational Drug Discovery Methods (5 papers), Immune Cell Function and Interaction (4 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Immunology (160 citations), Epidemiology (205 citations), Molecular Biology (346 citations), Computational Theory and Mathematics (88 citations) and Biological Psychiatry (11 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, Satoshi Fukuyama, Gabriele Neumann, Shinji Watanabe, Samik Ghosh, Francis J. Doyle and Amie J. Eisfeld. Their work appears in journals such as BMC Systems Biology, PLoS Computational Biology, Viruses, 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.