Stefan Güssregen
- Molecular Biology
- Organic Chemistry top 10%
- Physical and Theoretical Chemistry top 2%
- Inorganic Chemistry top 5%
- Pharmaceutical Science top 2%
- Co-authors
- Hans MatterRemo WeckVolker DerdauStefan M. KastMégane ValeroKurt RitterHerman SchreuderMichael Wagner
- Topics
- Computational Drug Discovery Methods (13 papers)Chemical Reactions and Isotopes (8 papers)Free Radicals and Antioxidants (7 papers)
- Journals
- Journal of Biological ChemistryAngewandte Chemie International EditionJournal of Medicinal Chemistry
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
Stefan Güssregen
33 papers receiving 913 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 308
- Organic Chemistry 271
- Physical and Theoretical Chemistry 212
- Inorganic Chemistry 206
- Pharmaceutical Science 205
Countries citing papers authored by Stefan Güssregen
This map shows the geographic impact of Stefan Güssregen'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 Stefan Güssregen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Güssregen more than expected).
Fields of papers citing papers by Stefan Güssregen
This network shows the impact of papers produced by Stefan Güssregen. 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 Stefan Güssregen. The network helps show where Stefan Güssregen may publish in the future.
Co-authorship network of co-authors of Stefan Güssregen
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Güssregen. A scholar is included among the top collaborators of Stefan Güssregen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Güssregen. Stefan Güssregen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 40 | |
| 8 | 15 | |
| 9 | 13 | |
| 10 | 24 | |
| 11 | 94 | |
| 12 | 30 | |
| 13 | 9 | |
| 14 | 20 | |
| 15 | 29 | |
| 16 | 8 | |
| 17 | 29 | |
| 18 | 4 | |
| 19 | 31 | |
| 20 | 238 |
About Stefan Güssregen
Stefan Güssregen is a scholar working on Pharmaceutical Science, Filtration and Separation and Computational Theory and Mathematics, having authored 33 papers that have together received 924 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Chemical Reactions and Isotopes (8 papers) and Free Radicals and Antioxidants (7 papers). The work is most often cited by research in Pharmaceutical Science (205 citations), Physical and Theoretical Chemistry (212 citations) and Inorganic Chemistry (206 citations). Stefan Güssregen has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Hans Matter, Remo Weck, Volker Derdau, Stefan M. Kast, Mégane Valero, Kurt Ritter, Herman Schreuder, Michael Wagner, Matthias Urmann and Armin Bauer. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Journal of Medicinal Chemistry.
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.