J. Conrad Stack
Impact in
- Horticulture top 5%
- Cocoa and Sweet Potato Agronomy
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- Genomics and Phylogenetic Studies 2
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- Cocoa and Sweet Potato Agronomy 3
- Co-authors
- Bryan T. Grenfell (4 shared papers)Edward C. Holmes (3 shared papers)James L. N. Wood (2 shared papers)Pablo R. Murcia (2 shared papers)Joshua D. Welch (1 shared paper)Beth Shapiro (1 shared paper)Matt Ferrari (1 shared paper)Juan Carlos Motamayor (3 shared papers)
- Journals
- Journal of The Royal Society Interface (2 papers)Methods in Ecology and Evolution (1 paper)Journal of Virology (1 paper)Frontiers in Plant Science (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
J. Conrad Stack
9 papers receiving 196 citations
Peers
Comparison fields: 5 of 55
- Horticulture 36
- Modeling and Simulation 22
- Endocrinology 21
- Agronomy and Crop Science 26
- Epidemiology 65
Countries citing papers authored by J. Conrad Stack
This map shows the geographic impact of J. Conrad Stack'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 J. Conrad Stack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Conrad Stack more than expected).
Fields of papers citing papers by J. Conrad Stack
This network shows the impact of papers produced by J. Conrad Stack. 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 J. Conrad Stack. The network helps show where J. Conrad Stack may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Conrad Stack, 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 | 2010 | 34 | |
| 2 | 2012 | 33 | |
| 3 | 2013 | 31 | |
| 4 | 2012 | 30 | |
| 5 | 2019 | 24 | |
| 6 | 2012 | 14 | |
| 7 | 2015 | 13 | |
| 8 | 2011 | 11 | |
| 9 | 2019 | 9 |
About J. Conrad Stack
J. Conrad Stack is a scholar working on Molecular Biology, Horticulture, Epidemiology, Food Science and Agronomy and Crop Science, having authored 9 papers that have together received 199 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Cocoa and Sweet Potato Agronomy (3 papers), Food Chemistry and Fat Analysis (3 papers), Genomics and Phylogenetic Studies (2 papers), Animal Disease Management and Epidemiology (2 papers), Zoonotic diseases and public health (1 paper), Virology and Viral Diseases (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Horticulture (36 citations), Modeling and Simulation (22 citations), Endocrinology (21 citations), Agronomy and Crop Science (26 citations) and Epidemiology (65 citations). J. Conrad Stack has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Bryan T. Grenfell, Edward C. Holmes, James L. N. Wood, Pablo R. Murcia, Joshua D. Welch, Beth Shapiro, Matt Ferrari, Juan Carlos Motamayor, Shweta Bansal and Andrew G. Stephenson. Their work appears in journals such as Journal of The Royal Society Interface, Methods in Ecology and Evolution, Journal of Virology, Frontiers in Plant Science and Proceedings of the Royal Society B Biological Sciences.
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.