Andreas Luttens
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- Chemical Synthesis and Analysis
Papers in
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- Receptor Mechanisms and Signaling 5
- Chemical Synthesis and Analysis 3
- Heat shock proteins research 1
- Genomics, phytochemicals, and oxidative stress 1
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- Computational Drug Discovery Methods 4
- Co-authors
- Jens Carlsson (7 shared papers)John J. Irwin (2 shared papers)Brian K. Shoichet (1 shared paper)Brian J. Bender (1 shared paper)Elissa A. Fink (1 shared paper)Stefan Gahbauer (1 shared paper)Chase M. Webb (1 shared paper)Reed M. Stein (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)European Journal of Medicinal Chemistry (1 paper)Current Opinion in Structural Biology (1 paper)Nature Protocols (1 paper)Nature Computational Science (1 paper)
- Partner nations
- SwedenUnited StatesSpain
In The Last Decade
Andreas Luttens
7 papers receiving 459 citations
Andreas Luttens's Hit Papers
Peers
Comparison fields: 5 of 81
- Computational Theory and Mathematics 217
- Molecular Biology 280
- Pharmacology 19
- Organic Chemistry 65
- Pharmacology 35
Countries citing papers authored by Andreas Luttens
This map shows the geographic impact of Andreas Luttens'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 Andreas Luttens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Luttens more than expected).
Fields of papers citing papers by Andreas Luttens
This network shows the impact of papers produced by Andreas Luttens. 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 Andreas Luttens. The network helps show where Andreas Luttens may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Luttens, 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 | A practical guide to large-scale docking Hit paper breakdown → | 2021 | 336 |
| 2 | 2024 | 38 | |
| 3 | Rapid traversal of vast chemical space using machine learning-guided docking screens Hit paper breakdown → | 2025 | 26 |
| 4 | 2022 | 23 | |
| 5 | 2019 | 17 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 13 |
About Andreas Luttens
Andreas Luttens is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Cellular and Molecular Neuroscience and Animal Science and Zoology, having authored 7 papers that have together received 469 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Computational Drug Discovery Methods (4 papers), Chemical Synthesis and Analysis (3 papers), Click Chemistry and Applications (2 papers), Heat shock proteins research (1 paper), Free Radicals and Antioxidants (1 paper), Adenosine and Purinergic Signaling (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Computational Theory and Mathematics (217 citations), Molecular Biology (280 citations), Pharmacology (19 citations), Organic Chemistry (65 citations) and Pharmacology (35 citations). Andreas Luttens has collaborated with scholars based in Sweden, United States and Spain. Frequent co-authors include Jens Carlsson, John J. Irwin, Brian K. Shoichet, Brian J. Bender, Elissa A. Fink, Stefan Gahbauer, Chase M. Webb, Reed M. Stein, Jiankun Lyu and Trent E. Balius. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Current Opinion in Structural Biology, Nature Protocols and Nature Computational Science.
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.