Julia R. Gog
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies 23
- Epidemiology top 1%
- Influenza Virus Research Studies 27
- Data-Driven Disease Surveillance 6
- Infectious Diseases top 1%
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology 6
- Virology top 5%
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- Evolution and Genetic Dynamics 12
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- RNA and protein synthesis mechanisms 11
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- Mathematical and Theoretical Epidemiology and Ecology Models 11
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- Salmonella and Campylobacter epidemiology 4
- Co-authors
- Bryan T. GrenfellJames L. N. WoodOliver G. PybusEdward C. HolmesJanet M. DalyJenny MumfordPaul DigardCécile Viboud
- Journals
- Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (3 papers)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Julia R. Gog
55 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Modeling and Simulation 1.3k
- Epidemiology 2.1k
- Infectious Diseases 1.0k
- Agronomy and Crop Science 459
- Virology 199
Countries citing papers authored by Julia R. Gog
This map shows the geographic impact of Julia R. Gog'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 Julia R. Gog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia R. Gog more than expected).
Fields of papers citing papers by Julia R. Gog
This network shows the impact of papers produced by Julia R. Gog. 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 Julia R. Gog. The network helps show where Julia R. Gog may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julia R. Gog, 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 | 2021 | 25 | |
| 2 | 2021 | 10 | |
| 3 | 2021 | 9 | |
| 4 | 2021 | 9 | |
| 5 | 2020 | 7 | |
| 6 | 2020 | 12 | |
| 7 | 2018 | 50 | |
| 8 | 2017 | 156 | |
| 9 | 2015 | 59 | |
| 10 | 2014 | 63 | |
| 11 | 2014 | 129 | |
| 12 | 2012 | 66 | |
| 13 | 2012 | 30 | |
| 14 | 2012 | 181 | |
| 15 | 2011 | 58 | |
| 16 | 2010 | 50 | |
| 17 | 2008 | 20 | |
| 18 | 2007 | 146 | |
| 19 | 2003 | 66 | |
| 20 | 2002 | 78 |
About Julia R. Gog
Julia R. Gog is a scholar working on Modeling and Simulation, Epidemiology and Virology, having authored 55 papers that have together received 4.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (27 papers), COVID-19 epidemiological studies (23 papers), Evolution and Genetic Dynamics (12 papers), RNA and protein synthesis mechanisms (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Animal Disease Management and Epidemiology (6 papers), Data-Driven Disease Surveillance (6 papers) and Salmonella and Campylobacter epidemiology (4 papers). The work is most often cited by research in Modeling and Simulation (1.3k citations), Epidemiology (2.1k citations) and Infectious Diseases (1.0k citations). Julia R. Gog has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Bryan T. Grenfell, James L. N. Wood, Oliver G. Pybus, Edward C. Holmes, Janet M. Daly, Jenny Mumford, Paul Digard, Cécile Viboud, Edward Hutchinson and Lone Simonsen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.