Patrick D. Fischer

10 papers receiving 526 citations

Patrick D. Fischer's Hit Papers

An open-source drug discovery platform enables ultra-large virtual screens 2020 · 395 citations
3950+2+4Years since publication100200300

Peers

Patrick D. Fischer
Comparison fields: 5 of 89
  • Computational Theory and Mathematics 259
  • Drug Discovery 1
  • Molecular Biology 385
  • Biophysics 16
  • Pharmacology 42
Replace Christoph Gorgulla with:
Christoph Gorgulla United States
Hayarpi Torosyan United States
Raphaël Bourgeas France
Heval Ataş Türkiye
Paul Coote United States
Sergio Ruiz‐Carmona Spain
Yang Ying United States
Masahito Ohue Japan
Jehad Aldahdooh Finland
Noé Sturm Sweden
Patrick D. Fischer relative to Christoph Gorgulla United States Christoph Gorgulla's profile →
Citations per field
00.5×1.5×1.8×
Christoph Gorgulla · 1×
Citations per year

Countries citing papers authored by Patrick D. Fischer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Patrick D. Fischer Line = papers co-authored together Patrick D. Fischer links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
An open-source drug discovery platform enables ultra-large virtual screens
Hit paper breakdown →
2020395
2 201833
3 201825
4 202424
5 202123
6 202120
7 20237
8 20223
9 20251
10 20221
11 20240

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 532 indexed citations. Recurring topics across this work include interferon and immune responses (2 papers), Computational Drug Discovery Methods (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Inflammasome and immune disorders (2 papers), Antibiotic Resistance in Bacteria (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Acoustic Wave Resonator Technologies (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (259 citations), Drug Discovery (1 citation), Molecular Biology (385 citations), Biophysics (16 citations) and Pharmacology (42 citations). Patrick D. Fischer has collaborated with scholars based in United States, Germany and Egypt. Frequent co-authors include Haribabu Arthanari, Gerhard Wagner, Christoph Gorgulla, Konstantin Fackeldey, Andras Boeszoermenyi, Zifu Wang, Dmytro S. Radchenko, Krishna Mohan Das, Yehor S. Malets and Paul Coote. Their work appears in journals such as European Journal of Medicinal Chemistry, Chemical Communications, Cell Death and Disease, Frontiers in Immunology and Communications Biology.

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.

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