Jan Ferner
Impact in
- Virology top 10%
- HIV Research and Treatment
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- HIV/AIDS drug development and treatment 4
-
- Advanced NMR Techniques and Applications 7
- Co-authors
- Harald Schwalbe (16 shared papers)Elke Duchardt (5 shared papers)Jens Wöhnert (4 shared papers)Joerg Rinnenthal (2 shared papers)Anna Wacker (6 shared papers)Boris Fürtig (2 shared papers)Janina Buck (1 shared paper)Alessandra Villa (1 shared paper)
- Journals
- ChemBioChem (4 papers)Angewandte Chemie International Edition (4 papers)Nucleic Acids Research (3 papers)Journal of Biomolecular NMR (1 paper)Frontiers in Molecular Biosciences (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Jan Ferner
22 papers receiving 611 citations
Peers
Comparison fields: 5 of 35
- Virology 48
- Infectious Diseases 188
- Molecular Biology 476
- Spectroscopy 117
- Computational Theory and Mathematics 80
Countries citing papers authored by Jan Ferner
This map shows the geographic impact of Jan Ferner'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 Jan Ferner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Ferner more than expected).
Fields of papers citing papers by Jan Ferner
This network shows the impact of papers produced by Jan Ferner. 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 Jan Ferner. The network helps show where Jan Ferner may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Ferner, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 134 | |
| 2 | 2021 | 79 | |
| 3 | 2011 | 77 | |
| 4 | 2008 | 53 | |
| 5 | 2021 | 40 | |
| 6 | 2014 | 39 | |
| 7 | 2011 | 38 | |
| 8 | 2008 | 31 | |
| 9 | 2006 | 21 | |
| 10 | 2007 | 21 | |
| 11 | 2022 | 20 | |
| 12 | 2003 | 19 | |
| 13 | 2023 | 19 | |
| 14 | 2009 | 17 | |
| 15 | 2007 | 15 | |
| 16 | 2015 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2025 | 6 | |
| 20 | 2020 | 5 |
About Jan Ferner
Jan Ferner is a scholar working on Infectious Diseases, Spectroscopy, Virology, Molecular Biology and Computational Theory and Mathematics, having authored 23 papers that have together received 660 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), DNA and Nucleic Acid Chemistry (10 papers), Advanced NMR Techniques and Applications (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), HIV Research and Treatment (4 papers), Computational Drug Discovery Methods (4 papers), HIV/AIDS drug development and treatment (4 papers) and Bioactive Compounds and Antitumor Agents (1 paper). The work is most often cited by research in Virology (48 citations), Infectious Diseases (188 citations), Molecular Biology (476 citations), Spectroscopy (117 citations) and Computational Theory and Mathematics (80 citations). Jan Ferner has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Harald Schwalbe, Elke Duchardt, Jens Wöhnert, Joerg Rinnenthal, Anna Wacker, Boris Fürtig, Janina Buck, Alessandra Villa, Gerhard Stock and Ursula Dietrich. Their work appears in journals such as ChemBioChem, Angewandte Chemie International Edition, Nucleic Acids Research, Journal of Biomolecular NMR and Frontiers in Molecular Biosciences.
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.