Friedrich Rippmann
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Heat shock proteins research
Papers in
-
- Computational Drug Discovery Methods 20
- Virology 2
- Co-authors
- Andrea VolkamerGerhard BarnickelManfred HendlichDaniel KühnMatthias RareySamo TurkSimone FulleSameh Eid
- Journals
- Journal of Chemical Information and Modeling (7 papers)Journal of Medicinal Chemistry (3 papers)Journal of Computational Chemistry (2 papers)Journal of Computer-Aided Molecular Design (2 papers)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Friedrich Rippmann
41 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Computational Theory and Mathematics 924
- Molecular Biology 1.9k
- Virology 101
- Parasitology 76
- Pharmacology 189
Countries citing papers authored by Friedrich Rippmann
This map shows the geographic impact of Friedrich Rippmann'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 Friedrich Rippmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Friedrich Rippmann more than expected).
Fields of papers citing papers by Friedrich Rippmann
This network shows the impact of papers produced by Friedrich Rippmann. 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 Friedrich Rippmann. The network helps show where Friedrich Rippmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Friedrich Rippmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 8 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 2 | |
| 4 | 2019 | 19 | |
| 5 | 2017 | 14 | |
| 6 | 2017 | 9 | |
| 7 | 2016 | 29 | |
| 8 | 2013 | 22 | |
| 9 | 2012 | 11 | |
| 10 | 2012 | 5 | |
| 11 | 2011 | 1 | |
| 12 | 2010 | 8 | |
| 13 | 2009 | 165 | |
| 14 | 2002 | 4 | |
| 15 | LIGSITE: automatic and efficient detection of potential small molecule-binding sites in proteins Hit paper breakdown → | 1997 | 550 |
| 16 | 1996 | 3 | |
| 17 | 1994 | 16 | |
| 18 | 1992 | 17 | |
| 19 | 1991 | 5 | |
| 20 | 1991 | 17 |
About Friedrich Rippmann
Friedrich Rippmann is a scholar working on Computational Theory and Mathematics, Virology, Molecular Biology, Immunology and Allergy and Parasitology, having authored 41 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (20 papers), Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (9 papers), Chemical Synthesis and Analysis (5 papers), Microbial Natural Products and Biosynthesis (4 papers), Bioinformatics and Genomic Networks (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Computational Theory and Mathematics (924 citations), Molecular Biology (1.9k citations), Virology (101 citations), Parasitology (76 citations) and Pharmacology (189 citations). Friedrich Rippmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Andrea Volkamer, Gerhard Barnickel, Manfred Hendlich, Daniel Kühn, Matthias Rarey, Samo Turk, Simone Fulle, Sameh Eid, Thomas Grombacher and Rebecca C. Wade. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Journal of Computational Chemistry, Journal of Computer-Aided Molecular Design and Proteins Structure Function 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.