Daniel Vitt
Impact in
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- Computational Drug Discovery Methods
- Organic Chemistry top 10%
- Axial and Atropisomeric Chirality Synthesis
- Synthesis and biological activity
Papers in
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- Axial and Atropisomeric Chirality Synthesis 5
- Synthesis and biological activity 3
- Chemical Reaction Mechanisms 3
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- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Gerhard Bringmann (8 shared papers)Hella Kohlhof (21 shared papers)Johann Jakob Leban (9 shared papers)Ralf Stowasser (4 shared papers)Markus H. J. Seifert (2 shared papers)Evelyn Peelen (9 shared papers)Stefan Strobl (5 shared papers)Mirko Zaja (4 shared papers)
- Journals
- Antiviral Research (5 papers)Viruses (2 papers)Journal of Molecular Modeling (2 papers)International Journal of Cancer (2 papers)Tetrahedron (2 papers)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Daniel Vitt
40 papers receiving 1k citations
Peers
Comparison fields: 5 of 70
- Computational Theory and Mathematics 111
- Organic Chemistry 199
- Infectious Diseases 109
- Pathology and Forensic Medicine 86
- Hepatology 43
Countries citing papers authored by Daniel Vitt
This map shows the geographic impact of Daniel Vitt'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 Daniel Vitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Vitt more than expected).
Fields of papers citing papers by Daniel Vitt
This network shows the impact of papers produced by Daniel Vitt. 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 Daniel Vitt. The network helps show where Daniel Vitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Vitt, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 103 | |
| 2 | 2013 | 78 | |
| 3 | 2003 | 67 | |
| 4 | 2016 | 58 | |
| 5 | 2020 | 54 | |
| 6 | 2020 | 53 | |
| 7 | 2012 | 47 | |
| 8 | 2017 | 44 | |
| 9 | 2013 | 41 | |
| 10 | 2013 | 38 | |
| 11 | 2017 | 36 | |
| 12 | 1996 | 32 | |
| 13 | 2014 | 32 | |
| 14 | 2014 | 30 | |
| 15 | 2022 | 29 | |
| 16 | 1998 | 27 | |
| 17 | 2019 | 26 | |
| 18 | 2020 | 26 | |
| 19 | 1995 | 24 | |
| 20 | 2011 | 24 |
About Daniel Vitt
Daniel Vitt is a scholar working on Organic Chemistry, Infectious Diseases, Immunology, Gastroenterology and Pathology and Forensic Medicine, having authored 41 papers that have together received 1k indexed citations. Recurring topics across this work include Axial and Atropisomeric Chirality Synthesis (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Biochemical and Molecular Research (4 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Synthesis and biological activity (3 papers), Chemical Reaction Mechanisms (3 papers), Multiple Sclerosis Research Studies (3 papers) and Advanced Chemical Physics Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (111 citations), Organic Chemistry (199 citations), Infectious Diseases (109 citations), Pathology and Forensic Medicine (86 citations) and Hepatology (43 citations). Daniel Vitt has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Gerhard Bringmann, Hella Kohlhof, Johann Jakob Leban, Ralf Stowasser, Markus H. J. Seifert, Evelyn Peelen, Stefan Strobl, Mirko Zaja, Joachim Bischof and Manfred Marschall. Their work appears in journals such as Antiviral Research, Viruses, Journal of Molecular Modeling, International Journal of Cancer and Tetrahedron.
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.