John Konz
Impact in
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
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- Viral Infections and Immunology Research
Papers in
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- Viral gastroenteritis research and epidemiology 16
- SARS-CoV-2 and COVID-19 Research 3
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- Viral Infections and Immunology Research 13
- Co-authors
- Sangeetha L. Sagar (7 shared papers)Jonathan King (1 shared paper)C. L. Cooney (1 shared paper)Ananda S Bandyopadhyay (8 shared papers)Ann L. Lee (2 shared papers)Andrew Macadam (6 shared papers)Rahnuma Wahid (8 shared papers)Ming Te Yeh (3 shared papers)
- Journals
- Biotechnology Progress (4 papers)Vaccines (3 papers)Human Gene Therapy (2 papers)The Lancet (2 papers)Biotechnology and Bioengineering (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
John Konz
21 papers receiving 620 citations
Peers
Comparison fields: 5 of 64
- Infectious Diseases 376
- Cardiology and Cardiovascular Medicine 280
- Genetics 165
- Molecular Biology 272
- Gastroenterology 17
Countries citing papers authored by John Konz
This map shows the geographic impact of John Konz'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 Konz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Konz more than expected).
Fields of papers citing papers by John Konz
This network shows the impact of papers produced by John Konz. 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 Konz. The network helps show where John Konz may publish in the future.
Co-authors
The 25 scholars most cited alongside John Konz, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 136 | |
| 2 | 1998 | 69 | |
| 3 | 2005 | 65 | |
| 4 | 2020 | 58 | |
| 5 | 2005 | 57 | |
| 6 | 2020 | 55 | |
| 7 | 2022 | 38 | |
| 8 | 2005 | 32 | |
| 9 | 2005 | 32 | |
| 10 | 2023 | 30 | |
| 11 | 2006 | 17 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 7 | |
| 16 | 2008 | 6 | |
| 17 | 2005 | 5 | |
| 18 | 2023 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 1 |
About John Konz
John Konz is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Molecular Biology, Genetics and Epidemiology, having authored 22 papers that have together received 649 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (16 papers), Viral Infections and Immunology Research (13 papers), Virus-based gene therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Respiratory viral infections research (3 papers), Animal Virus Infections Studies (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (376 citations), Cardiology and Cardiovascular Medicine (280 citations), Genetics (165 citations), Molecular Biology (272 citations) and Gastroenterology (17 citations). John Konz has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Sangeetha L. Sagar, Jonathan King, C. L. Cooney, Ananda S Bandyopadhyay, Ann L. Lee, Andrew Macadam, Rahnuma Wahid, Ming Te Yeh, Raul Andino and John A. Lewis. Their work appears in journals such as Biotechnology Progress, Vaccines, Human Gene Therapy, The Lancet and Biotechnology and Bioengineering.
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.