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 Infections and Immunology Research 13
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- Viral gastroenteritis research and epidemiology 12
- Co-authors
- Sangeetha L. Sagar (7 shared papers)C. L. Cooney (1 shared paper)Jonathan King (1 shared paper)Ananda S Bandyopadhyay (8 shared papers)Ann L. Lee (2 shared papers)Raul Andino (4 shared papers)Rahnuma Wahid (8 shared papers)Andrew Macadam (6 shared papers)
- Journals
- Biotechnology Progress (4 papers)Vaccines (3 papers)The Lancet (2 papers)Human Gene Therapy (2 papers)npj Vaccines (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
John Konz
21 papers receiving 629 citations
Peers
Comparison fields: 5 of 63
- Infectious Diseases 297
- Cardiology and Cardiovascular Medicine 286
- Genetics 162
- Molecular Biology 264
- Animal Science and Zoology 29
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 | 141 | |
| 2 | 1998 | 69 | |
| 3 | 2005 | 65 | |
| 4 | 2020 | 58 | |
| 5 | 2005 | 57 | |
| 6 | 2020 | 56 | |
| 7 | 2022 | 39 | |
| 8 | 2005 | 33 | |
| 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 Cardiology and Cardiovascular Medicine, Infectious Diseases, Molecular Biology, Genetics and Animal Science and Zoology, having authored 22 papers that have together received 657 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (13 papers), Viral gastroenteritis research and epidemiology (12 papers), Virus-based gene therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Animal Virus Infections Studies (2 papers), Virology and Viral Diseases (2 papers), RNA Interference and Gene Delivery (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Infectious Diseases (297 citations), Cardiology and Cardiovascular Medicine (286 citations), Genetics (162 citations), Molecular Biology (264 citations) and Animal Science and Zoology (29 citations). John Konz has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Sangeetha L. Sagar, C. L. Cooney, Jonathan King, Ananda S Bandyopadhyay, Ann L. Lee, Raul Andino, Rahnuma Wahid, Andrew Macadam, Ming Te Yeh and Pierre Van Damme. Their work appears in journals such as Biotechnology Progress, Vaccines, The Lancet, Human Gene Therapy and npj Vaccines.
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.