Patrick D. Fischer
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Inflammasome and immune disorders 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Ubiquitin and proteasome pathways 1
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- Microbial Natural Products and Biosynthesis 2
- Co-authors
- Haribabu Arthanari (6 shared papers)Gerhard Wagner (4 shared papers)Christoph Gorgulla (3 shared papers)Konstantin Fackeldey (2 shared papers)Andras Boeszoermenyi (2 shared papers)Zifu Wang (2 shared papers)Yurii S. Moroz (1 shared paper)Moritz Hoffmann (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (2 papers)Journal of Medicinal Chemistry (1 paper)Chemical Communications (1 paper)ChemMedChem (1 paper)Nature (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Patrick D. Fischer
10 papers receiving 555 citations
Patrick D. Fischer's Hit Papers
Peers
Comparison fields: 5 of 87
- Computational Theory and Mathematics 264
- Drug Discovery 1
- Molecular Biology 386
- Biophysics 16
- Pharmacology 41
Countries citing papers authored by Patrick D. Fischer
This map shows the geographic impact of Patrick D. Fischer'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 Patrick D. Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick D. Fischer more than expected).
Fields of papers citing papers by Patrick D. Fischer
This network shows the impact of papers produced by Patrick D. Fischer. 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 Patrick D. Fischer. The network helps show where Patrick D. Fischer may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick D. Fischer, 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 | An open-source drug discovery platform enables ultra-large virtual screens Hit paper breakdown → | 2020 | 414 |
| 2 | 2018 | 33 | |
| 3 | 2024 | 29 | |
| 4 | 2021 | 25 | |
| 5 | 2018 | 25 | |
| 6 | 2021 | 21 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 3 | |
| 9 | 2025 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2024 | 0 |
About Patrick D. Fischer
Patrick D. Fischer is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Molecular Medicine and Immunology, having authored 11 papers that have together received 561 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (2 papers), Inflammasome and immune disorders (2 papers), interferon and immune responses (2 papers), Computational Drug Discovery Methods (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Machine Learning in Materials Science (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Computational Theory and Mathematics (264 citations), Drug Discovery (1 citation), Molecular Biology (386 citations), Biophysics (16 citations) and Pharmacology (41 citations). Patrick D. Fischer has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Haribabu Arthanari, Gerhard Wagner, Christoph Gorgulla, Konstantin Fackeldey, Andras Boeszoermenyi, Zifu Wang, Yurii S. Moroz, Moritz Hoffmann, David A. Scott and Yehor S. Malets. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Chemical Communications, ChemMedChem and Nature.
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.