Florian Nigsch
Impact in
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- Computational Drug Discovery Methods
- Biophysics top 5%
Papers in
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- Bioinformatics and Genomic Networks 3
- Protein Degradation and Inhibitors 2
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- Computational Drug Discovery Methods 17
- Co-authors
- John B. O. Mitchell (9 shared papers)Andreas Bender (4 shared papers)Jeremy L. Jenkins (11 shared papers)David Scott Palmer (2 shared papers)Laura D. Hughes (1 shared paper)Bernd N. M. van Buuren (1 shared paper)Guglielmo Roma (7 shared papers)Eugen Lounkine (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (7 papers)Expert Opinion on Drug Metabolism & Toxicology (4 papers)SLAS DISCOVERY (3 papers)ACS Chemical Biology (2 papers)iScience (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Florian Nigsch
36 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 130
- Computational Theory and Mathematics 582
- Biophysics 72
- Molecular Biology 725
- Pharmacology 81
- Aging 15
Countries citing papers authored by Florian Nigsch
This map shows the geographic impact of Florian Nigsch'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 Florian Nigsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Nigsch more than expected).
Fields of papers citing papers by Florian Nigsch
This network shows the impact of papers produced by Florian Nigsch. 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 Florian Nigsch. The network helps show where Florian Nigsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Florian Nigsch, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 166 | |
| 2 | 2006 | 140 | |
| 3 | 2012 | 107 | |
| 4 | 2016 | 84 | |
| 5 | 2008 | 83 | |
| 6 | 2017 | 74 | |
| 7 | 2021 | 64 | |
| 8 | 2009 | 62 | |
| 9 | 2005 | 55 | |
| 10 | 2021 | 54 | |
| 11 | 2017 | 49 | |
| 12 | 2012 | 46 | |
| 13 | 2011 | 44 | |
| 14 | 2019 | 40 | |
| 15 | 2017 | 38 | |
| 16 | 2016 | 34 | |
| 17 | 2016 | 32 | |
| 18 | 2008 | 31 | |
| 19 | 2008 | 30 | |
| 20 | 2012 | 23 |
About Florian Nigsch
Florian Nigsch is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Oncology and Biophysics, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Microbial Natural Products and Biosynthesis (4 papers), Cell Image Analysis Techniques (3 papers), Analytical Chemistry and Chromatography (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Machine Learning in Materials Science (3 papers), Bioinformatics and Genomic Networks (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Computational Theory and Mathematics (582 citations), Biophysics (72 citations), Molecular Biology (725 citations), Pharmacology (81 citations) and Aging (15 citations). Florian Nigsch has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include John B. O. Mitchell, Andreas Bender, Jeremy L. Jenkins, David Scott Palmer, Laura D. Hughes, Bernd N. M. van Buuren, Guglielmo Roma, Eugen Lounkine, Meir Glick and Luciana G. de Oliveira. Their work appears in journals such as Journal of Chemical Information and Modeling, Expert Opinion on Drug Metabolism & Toxicology, SLAS DISCOVERY, ACS Chemical Biology and iScience.
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.