David Schaller
Impact in
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- Computational Drug Discovery Methods
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- Synthesis and biological activity
- Multicomponent Synthesis of Heterocycles
- Click Chemistry and Applications
Papers in
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- Receptor Mechanisms and Signaling 4
- Ion channel regulation and function 2
- Protein Structure and Dynamics 2
- Chemical Synthesis and Analysis 2
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- Computational Drug Discovery Methods 6
- Co-authors
- Gerhard Wolber (8 shared papers)Szymon Pach (2 shared papers)Marcel Bermúdez (2 shared papers)Trung Ngoc Nguyen (1 shared paper)David Machalz (1 shared paper)Lihua Deng (1 shared paper)Miyase Gözde Gündüz (2 shared papers)Gerald W. Zamponi (2 shared papers)
- Journals
- Molecular Informatics (2 papers)ACS Medicinal Chemistry Letters (2 papers)Journal of Medicinal Chemistry (1 paper)The Journal of Physical Chemistry B (1 paper)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesTürkiye
In The Last Decade
David Schaller
12 papers receiving 304 citations
Peers
Comparison fields: 5 of 82
- Computational Theory and Mathematics 123
- Organic Chemistry 91
- Toxicology 9
- Pharmacology 39
- Molecular Biology 161
Countries citing papers authored by David Schaller
This map shows the geographic impact of David Schaller'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 David Schaller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Schaller more than expected).
Fields of papers citing papers by David Schaller
This network shows the impact of papers produced by David Schaller. 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 David Schaller. The network helps show where David Schaller may publish in the future.
Co-authors
The 25 scholars most cited alongside David Schaller, 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 | 2020 | 173 | |
| 2 | 2018 | 42 | |
| 3 | 2019 | 21 | |
| 4 | 2019 | 17 | |
| 5 | 2022 | 9 | |
| 6 | 2020 | 9 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 8 | |
| 9 | 2017 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2025 | 5 | |
| 12 | 2019 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2024 | 0 |
About David Schaller
David Schaller is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 14 papers that have together received 305 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Receptor Mechanisms and Signaling (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Enzyme Structure and Function (2 papers), Ion channel regulation and function (2 papers), Protein Structure and Dynamics (2 papers), Chemical Synthesis and Analysis (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Computational Theory and Mathematics (123 citations), Organic Chemistry (91 citations), Toxicology (9 citations), Pharmacology (39 citations) and Molecular Biology (161 citations). David Schaller has collaborated with scholars based in Germany, United States and Türkiye. Frequent co-authors include Gerhard Wolber, Szymon Pach, Marcel Bermúdez, Trung Ngoc Nguyen, David Machalz, Lihua Deng, Miyase Gözde Gündüz, Gerald W. Zamponi, Holger Stark and Stefanie Hagenow. Their work appears in journals such as Molecular Informatics, ACS Medicinal Chemistry Letters, Journal of Medicinal Chemistry, The Journal of Physical Chemistry B and European Journal of Medicinal Chemistry.
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.