Lukas Friedrich
Impact in
-
- Computational Drug Discovery Methods
- Health Informatics top 10%
Papers in
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- Computational Drug Discovery Methods 16
-
- Receptor Mechanisms and Signaling 3
- Co-authors
- Gisbert Schneider (13 shared papers)Francesca Grisoni (10 shared papers)Daniel Merk (9 shared papers)Michaël Moret (1 shared paper)Daniel Kühn (4 shared papers)Stephan A. Sieber (3 shared papers)Richard Obexer (1 shared paper)Moritz Pott (1 shared paper)
- Journals
- ChemMedChem (3 papers)ChemistryOpen (2 papers)Molecular Informatics (2 papers)Journal of Cheminformatics (2 papers)Nature Communications (1 paper)
- Partner nations
- SwitzerlandGermanyItaly
In The Last Decade
Lukas Friedrich
25 papers receiving 960 citations
Peers
Comparison fields: 5 of 122
- Computational Theory and Mathematics 579
- Health Informatics 14
- Parasitology 59
- Pharmacology 124
- Molecular Biology 480
Countries citing papers authored by Lukas Friedrich
This map shows the geographic impact of Lukas Friedrich'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 Lukas Friedrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Friedrich more than expected).
Fields of papers citing papers by Lukas Friedrich
This network shows the impact of papers produced by Lukas Friedrich. 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 Lukas Friedrich. The network helps show where Lukas Friedrich may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukas Friedrich, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 267 | |
| 2 | 2020 | 150 | |
| 3 | 2018 | 89 | |
| 4 | 2019 | 81 | |
| 5 | 2021 | 62 | |
| 6 | 2023 | 60 | |
| 7 | 2018 | 40 | |
| 8 | 2016 | 38 | |
| 9 | 2019 | 28 | |
| 10 | 2016 | 24 | |
| 11 | 2021 | 22 | |
| 12 | 2018 | 19 | |
| 13 | 2023 | 16 | |
| 14 | 2022 | 12 | |
| 15 | 2024 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2016 | 10 | |
| 19 | 2023 | 7 | |
| 20 | 2018 | 5 |
About Lukas Friedrich
Lukas Friedrich is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Toxicology and Materials Chemistry, having authored 25 papers that have together received 983 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Microbial Natural Products and Biosynthesis (6 papers), Bioactive Compounds and Antitumor Agents (4 papers), Receptor Mechanisms and Signaling (3 papers), Parasites and Host Interactions (3 papers), Helminth infection and control (3 papers), Machine Learning in Materials Science (3 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Computational Theory and Mathematics (579 citations), Health Informatics (14 citations), Parasitology (59 citations), Pharmacology (124 citations) and Molecular Biology (480 citations). Lukas Friedrich has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Gisbert Schneider, Francesca Grisoni, Daniel Merk, Michaël Moret, Daniel Kühn, Stephan A. Sieber, Richard Obexer, Moritz Pott, Andrew D. Griffiths and Anthony P. Green. Their work appears in journals such as ChemMedChem, ChemistryOpen, Molecular Informatics, Journal of Cheminformatics and Nature Communications.
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.