Hugo Kubinyi
- Computational Theory and Mathematics top 0.1%
- Molecular Biology top 5%
- Organic Chemistry top 2%
- Spectroscopy top 1%
- Analytical Chemistry top 1%
- Co-authors
- Jens SadowskiGerd FolkersYvonne C. MartinFred A. HamprechtThomas MietznerE. HeckerH. BreschHans‐Dieter Höltje
- Topics
- Computational Drug Discovery Methods (29 papers)Analytical Chemistry and Chromatography (12 papers)Carbohydrate Chemistry and Synthesis (7 papers)
- Journals
- Angewandte Chemie International EditionJournal of Medicinal ChemistryAnalytica Chimica Acta
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Hugo Kubinyi
73 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Computational Theory and Mathematics 2.2k
- Molecular Biology 1.8k
- Organic Chemistry 1.1k
- Spectroscopy 769
- Analytical Chemistry 354
Countries citing papers authored by Hugo Kubinyi
This map shows the geographic impact of Hugo Kubinyi'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 Hugo Kubinyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo Kubinyi more than expected).
Fields of papers citing papers by Hugo Kubinyi
This network shows the impact of papers produced by Hugo Kubinyi. 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 Hugo Kubinyi. The network helps show where Hugo Kubinyi may publish in the future.
Co-authorship network of co-authors of Hugo Kubinyi
This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Kubinyi. A scholar is included among the top collaborators of Hugo Kubinyi 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 Hugo Kubinyi. Hugo Kubinyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Drug discovery technologies | 0 |
| 2 | 37 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | Ligand-protein interactions and molecular similarity | 9 |
| 7 | 7 | |
| 8 | 83 | |
| 9 | 282 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | QSAR: Hansch Analysis and Related Approachesbreakdown → | 514 |
| 14 | 3 | |
| 15 | Lipophilicity and biological acitivity. Drug transport and drug distribution in model systems and in biological systems. | 25 |
| 16 | Nonlinear dependence of biological activity on hydrophobic character: the bilinear model. | 22 |
| 17 | 0 | |
| 18 | 31 | |
| 19 | 27 | |
| 20 | 11 |
About Hugo Kubinyi
Hugo Kubinyi is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Spectroscopy, having authored 75 papers that have together received 4.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (29 papers), Analytical Chemistry and Chromatography (12 papers) and Carbohydrate Chemistry and Synthesis (7 papers). The work is most often cited by research in Computational Theory and Mathematics (2.2k citations), Spectroscopy (769 citations) and Organic Chemistry (1.1k citations). Hugo Kubinyi has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jens Sadowski, Gerd Folkers, Yvonne C. Martin, Fred A. Hamprecht, Thomas Mietzner, E. Hecker, H. Bresch, Hans‐Dieter Höltje, Raimund Mannhold and H. Timmerman. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Medicinal Chemistry and Analytica Chimica Acta.
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.