Thorsten Nowak
Impact in
- Virology top 10%
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods
- Click Chemistry and Applications
Papers in
-
- Chemical Synthesis and Analysis 5
- Protein Kinase Regulation and GTPase Signaling 3
- Enzyme function and inhibition 2
-
- Click Chemistry and Applications 2
- Synthesis and Catalytic Reactions 2
- Co-authors
- Martin Sapp (3 shared papers)Hans‐Christoph Selinka (2 shared papers)Luise Florin (2 shared papers)Tom Moss (3 shared papers)Neil D. Christensen (1 shared paper)Jason G. Kettle (2 shared papers)J. Elizabeth Pease (1 shared paper)Patricia M. Day (1 shared paper)
- Journals
- Journal of Virology (3 papers)Journal of Medicinal Chemistry (2 papers)Tetrahedron Letters (2 papers)Synlett (2 papers)BMC Medicine (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Thorsten Nowak
21 papers receiving 853 citations
Peers
Comparison fields: 5 of 77
- Virology 34
- Organic Chemistry 204
- Epidemiology 213
- Computational Theory and Mathematics 99
- Molecular Biology 409
Countries citing papers authored by Thorsten Nowak
This map shows the geographic impact of Thorsten Nowak'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 Thorsten Nowak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thorsten Nowak more than expected).
Fields of papers citing papers by Thorsten Nowak
This network shows the impact of papers produced by Thorsten Nowak. 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 Thorsten Nowak. The network helps show where Thorsten Nowak may publish in the future.
Co-authors
The 25 scholars most cited alongside Thorsten Nowak, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 155 | |
| 2 | 2003 | 108 | |
| 3 | 2015 | 95 | |
| 4 | 2006 | 95 | |
| 5 | 2007 | 91 | |
| 6 | 2012 | 69 | |
| 7 | 2016 | 56 | |
| 8 | 2012 | 40 | |
| 9 | 1996 | 22 | |
| 10 | 2011 | 21 | |
| 11 | 2016 | 20 | |
| 12 | 2002 | 15 | |
| 13 | 2003 | 15 | |
| 14 | 2012 | 15 | |
| 15 | 2012 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2000 | 12 | |
| 18 | 2021 | 9 | |
| 19 | 2003 | 6 | |
| 20 | 1996 | 5 |
About Thorsten Nowak
Thorsten Nowak is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Genetics and Pharmacology, having authored 21 papers that have together received 880 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Molecular spectroscopy and chirality (2 papers), Click Chemistry and Applications (2 papers), Pregnancy and preeclampsia studies (2 papers), Computational Drug Discovery Methods (2 papers), Enzyme function and inhibition (2 papers) and Synthesis and Catalytic Reactions (2 papers). The work is most often cited by research in Virology (34 citations), Organic Chemistry (204 citations), Epidemiology (213 citations), Computational Theory and Mathematics (99 citations) and Molecular Biology (409 citations). Thorsten Nowak has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Martin Sapp, Hans‐Christoph Selinka, Luise Florin, Tom Moss, Neil D. Christensen, Jason G. Kettle, J. Elizabeth Pease, Patricia M. Day, Jan G.M. Bolscher and Andy Barker. Their work appears in journals such as Journal of Virology, Journal of Medicinal Chemistry, Tetrahedron Letters, Synlett and BMC Medicine.
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.