John Barnes
- Epidemiology top 2%
- Influenza Virus Research Studies 46
- Respiratory viral infections research 29
- Infectious Diseases top 5%
- Viral Infections and Outbreaks Research 9
- Viral Infections and Vectors 4
- Viral gastroenteritis research and epidemiology 4
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology 14
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 5
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- RNA and protein synthesis mechanisms 6
- Co-authors
- David E. WentworthVivien G. DuganMalania M. WilsonLarisa V. GubarevaDavid YangPaul C. BlaineyCameron MyhrvoldChloe K. Boehm
- Journals
- American Industrial Hygiene Association Journal (6 papers)Emerging infectious diseases (6 papers)Influenza and Other Respiratory Viruses (5 papers)
- Partner nations
- United StatesBangladeshAustralia
In The Last Decade
John Barnes
72 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Epidemiology 1.1k
- Infectious Diseases 540
- Agronomy and Crop Science 272
- Modeling and Simulation 97
- Business and International Management 31
Countries citing papers authored by John Barnes
This map shows the geographic impact of John Barnes'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 John Barnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Barnes more than expected).
Fields of papers citing papers by John Barnes
This network shows the impact of papers produced by John Barnes. 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 John Barnes. The network helps show where John Barnes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Barnes, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 10 | |
| 6 | Massively multiplexed nucleic acid detection with Cas13breakdown → | 2020 | 592 |
| 7 | 2020 | 40 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 24 | |
| 13 | 2019 | 12 | |
| 14 | 2019 | 56 | |
| 15 | 2017 | 13 | |
| 16 | 2016 | 6 | |
| 17 | 2016 | 119 | |
| 18 | 2009 | 18 | |
| 19 | 2008 | 10 | |
| 20 | 2004 | 5 |
About John Barnes
John Barnes is a scholar working on Agronomy and Crop Science, Epidemiology and Modeling and Simulation, having authored 76 papers that have together received 2.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (46 papers), Respiratory viral infections research (29 papers), Animal Disease Management and Epidemiology (14 papers), Viral Infections and Outbreaks Research (9 papers), RNA and protein synthesis mechanisms (6 papers), COVID-19 epidemiological studies (5 papers), Viral Infections and Vectors (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Epidemiology (1.1k citations), Infectious Diseases (540 citations) and Agronomy and Crop Science (272 citations). John Barnes has collaborated with scholars based in United States, Bangladesh and Australia. Frequent co-authors include David E. Wentworth, Vivien G. Dugan, Malania M. Wilson, Larisa V. Gubareva, David Yang, Paul C. Blainey, Cameron Myhrvold, Chloe K. Boehm, Deborah T. Hung and Hayden C. Metsky. Their work appears in journals such as American Industrial Hygiene Association Journal, Emerging infectious diseases, Influenza and Other Respiratory Viruses, Journal of Applied Physiology and Scientific Reports.
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.