Jake E McGreig
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
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- Computational Drug Discovery Methods
Papers in
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- DNA Repair Mechanisms 1
- Muscle Physiology and Disorders 1
- Cancer therapeutics and mechanisms 1
- Bioinformatics and Genomic Networks 1
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- SARS-CoV-2 detection and testing 1
- Viral Infections and Outbreaks Research 1
- Co-authors
- Mark N. Wass (7 shared papers)Martin Michaelis (4 shared papers)Michael J.E. Sternberg (1 shared paper)Magdalena Antczak (2 shared papers)Christian Münch (1 shared paper)Jindřich Činátl (2 shared papers)Carla Bellinghausen (1 shared paper)Denisa Bojková (2 shared papers)
- Journals
- Bioinformatics (2 papers)Protein Science (1 paper)The Journal of Infectious Diseases (1 paper)PLoS Biology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Jake E McGreig
8 papers receiving 126 citations
Peers
Comparison fields: 5 of 51
- Infectious Diseases 48
- Computational Theory and Mathematics 34
- Molecular Biology 63
- Immunology 12
- Biochemistry 4
Countries citing papers authored by Jake E McGreig
This map shows the geographic impact of Jake E McGreig'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 Jake E McGreig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake E McGreig more than expected).
Fields of papers citing papers by Jake E McGreig
This network shows the impact of papers produced by Jake E McGreig. 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 Jake E McGreig. The network helps show where Jake E McGreig may publish in the future.
Co-authors
The 25 scholars most cited alongside Jake E McGreig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 56 | |
| 2 | 2022 | 35 | |
| 3 | 2019 | 11 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 11 | |
| 6 | 2024 | 4 | |
| 7 | 2021 | 3 | |
| 8 | 2024 | 1 |
About Jake E McGreig
Jake E McGreig is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 132 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), DNA Repair Mechanisms (1 paper), Cardiovascular Effects of Exercise (1 paper), SARS-CoV-2 detection and testing (1 paper), Muscle Physiology and Disorders (1 paper), Cancer therapeutics and mechanisms (1 paper), Bioinformatics and Genomic Networks (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Infectious Diseases (48 citations), Computational Theory and Mathematics (34 citations), Molecular Biology (63 citations), Immunology (12 citations) and Biochemistry (4 citations). Jake E McGreig has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Mark N. Wass, Martin Michaelis, Michael J.E. Sternberg, Magdalena Antczak, Christian Münch, Jindřich Činátl, Carla Bellinghausen, Denisa Bojková, Sandra Ciesek and Marco Bechtel. Their work appears in journals such as Bioinformatics, Protein Science, The Journal of Infectious Diseases, PLoS Biology and Nucleic Acids Research.
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.