Matthias R. Bauer
- Molecular Biology top 10%
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 1%
- Oncology top 10%
- Materials Chemistry
- Co-authors
- Frank M. BoecklerAlan R. FershtAndreas C. JoergerSimon VogelMark MackeyTamer M. IbrahimBenjamin C. WhitehurstRichard Storer
- Topics
- Computational Drug Discovery Methods (10 papers)Cancer-related Molecular Pathways (9 papers)Machine Learning in Materials Science (7 papers)
- Partner nations
- GermanyUnited KingdomEgypt
In The Last Decade
Matthias R. Bauer
31 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 809
- Organic Chemistry 477
- Computational Theory and Mathematics 398
- Oncology 367
- Materials Chemistry 167
Countries citing papers authored by Matthias R. Bauer
This map shows the geographic impact of Matthias R. Bauer'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 Matthias R. Bauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias R. Bauer more than expected).
Fields of papers citing papers by Matthias R. Bauer
This network shows the impact of papers produced by Matthias R. Bauer. 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 Matthias R. Bauer. The network helps show where Matthias R. Bauer may publish in the future.
Co-authorship network of co-authors of Matthias R. Bauer
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias R. Bauer. A scholar is included among the top collaborators of Matthias R. Bauer 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 Matthias R. Bauer. Matthias R. Bauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 39 | |
| 3 | Put a ring on it: application of small aliphatic rings in medicinal chemistrybreakdown → | 306 |
| 4 | 49 | |
| 5 | 33 | |
| 6 | 122 | |
| 7 | 64 | |
| 8 | 58 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 27 | |
| 12 | 49 | |
| 13 | 21 | |
| 14 | 30 | |
| 15 | 10 | |
| 16 | 33 | |
| 17 | 2 | |
| 18 | 14 | |
| 19 | 19 | |
| 20 | Phase II study of single-agent therapy with megestrol acetate, VP-16-213, cyclophosphamide, and dianhydrogalactitol in advanced renal cell cancer. | 24 |
About Matthias R. Bauer
Matthias R. Bauer is a scholar working on Computational Theory and Mathematics, Oncology and Molecular Biology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Cancer-related Molecular Pathways (9 papers) and Machine Learning in Materials Science (7 papers). The work is most often cited by research in Computational Theory and Mathematics (398 citations), Organic Chemistry (477 citations) and Pharmaceutical Science (88 citations). Matthias R. Bauer has collaborated with scholars based in Germany, United Kingdom and Egypt. Frequent co-authors include Frank M. Boeckler, Alan R. Fersht, Andreas C. Joerger, Simon Vogel, Mark Mackey, Tamer M. Ibrahim, Benjamin C. Whitehurst, Richard Storer, Simon C. C. Lucas and Paolo Di Fruscia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Bioinformatics.
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.