Patrick Schöpf

412 total citations
7 papers, 227 citations indexed

About

Patrick Schöpf is a scholar working on Molecular Biology, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Patrick Schöpf has authored 7 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Materials Chemistry. Recurrent topics in Patrick Schöpf's work include Protein Structure and Dynamics (2 papers), Enzyme Structure and Function (2 papers) and Quantum Computing Algorithms and Architecture (2 papers). Patrick Schöpf is often cited by papers focused on Protein Structure and Dynamics (2 papers), Enzyme Structure and Function (2 papers) and Quantum Computing Algorithms and Architecture (2 papers). Patrick Schöpf collaborates with scholars based in United States, Germany and United Kingdom. Patrick Schöpf's co-authors include Arieh Warshel, Matthew J. L. Mills, Nicole Holzmann, Ram Prasad, Manoj K. Singh, Róbert Izsák, Nick S. Blunt, Maria P. Frushicheva, Ophelia Crawford and Jacob M. Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physical Chemistry B and Journal of Computational Chemistry.

In The Last Decade

Patrick Schöpf

7 papers receiving 224 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick Schöpf United States 6 108 73 52 49 35 7 227
Jiawei Peng China 9 77 0.7× 51 0.7× 62 1.2× 26 0.5× 11 0.3× 36 247
Zhuoran Qiao United States 5 84 0.8× 27 0.4× 25 0.5× 130 2.7× 94 2.7× 8 249
Siyuan Liu China 8 23 0.2× 163 2.2× 146 2.8× 43 0.9× 47 1.3× 18 310
David Allouche France 10 223 2.1× 40 0.5× 72 1.4× 69 1.4× 49 1.4× 16 380
Benjamin C. B. Symons United Kingdom 8 43 0.4× 30 0.4× 69 1.3× 76 1.6× 52 1.5× 12 173
Olivier Adjoua France 11 130 1.2× 17 0.2× 74 1.4× 100 2.0× 72 2.1× 16 259
Geemi P. Wellawatte United States 7 78 0.7× 63 0.9× 12 0.2× 165 3.4× 116 3.3× 8 253
Jakub Rydzewski Poland 9 189 1.8× 14 0.2× 32 0.6× 87 1.8× 52 1.5× 25 248
Nicholas J. Browning Switzerland 6 49 0.5× 11 0.2× 53 1.0× 123 2.5× 64 1.8× 8 200
Yuanqing Wang United States 9 119 1.1× 10 0.1× 21 0.4× 160 3.3× 106 3.0× 15 256

Countries citing papers authored by Patrick Schöpf

Since Specialization
Citations

This map shows the geographic impact of Patrick Schöpf'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 Schöpf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Schöpf more than expected).

Fields of papers citing papers by Patrick Schöpf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Schöpf. 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 Schöpf. The network helps show where Patrick Schöpf may publish in the future.

Co-authorship network of co-authors of Patrick Schöpf

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Schöpf. A scholar is included among the top collaborators of Patrick Schöpf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patrick Schöpf. Patrick Schöpf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Izsák, Róbert, Christoph Riplinger, Nick S. Blunt, et al.. (2022). Quantum computing in pharma: A multilayer embedding approach for near future applications. Journal of Computational Chemistry. 44(3). 406–421. 2 indexed citations
2.
Izsák, Róbert, Christoph Riplinger, Nick S. Blunt, et al.. (2022). Quantum Computing in Pharma: A Multilayer Embedding Approach for Near Future Applications. arXiv (Cornell University). 22 indexed citations
3.
Blunt, Nick S., Ophelia Crawford, Róbert Izsák, et al.. (2022). Perspective on the Current State-of-the-Art of Quantum Computing for Drug Discovery Applications. Journal of Chemical Theory and Computation. 18(12). 7001–7023. 84 indexed citations
4.
Roy, Subhendu, Patrick Schöpf, & Arieh Warshel. (2017). Origin of the Non-Arrhenius Behavior of the Rates of Enzymatic Reactions. The Journal of Physical Chemistry B. 121(27). 6520–6526. 15 indexed citations
5.
Schöpf, Patrick, Matthew J. L. Mills, & Arieh Warshel. (2015). The entropic contributions in vitamin B 12 enzymes still reflect the electrostatic paradigm. Proceedings of the National Academy of Sciences. 112(14). 4328–4333. 29 indexed citations
6.
Frushicheva, Maria P., Matthew J. L. Mills, Patrick Schöpf, et al.. (2014). Computer aided enzyme design and catalytic concepts. Current Opinion in Chemical Biology. 21. 56–62. 57 indexed citations
7.
Schöpf, Patrick & Arieh Warshel. (2014). Validating computer simulations of enantioselective catalysis; reproducing the large steric and entropic contributions in Candida Antarctica lipase B. Proteins Structure Function and Bioinformatics. 82(7). 1387–1399. 18 indexed citations

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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2026