Piotr Setny

38 papers receiving 1.1k citations

Piotr Setny's Hit Papers

Discovering highly potent antimicrobial peptides with deep generative model HydrAMP 2023 · 115 citations
1150+1+2Years since publication255075100

Peers

Piotr Setny
Comparison fields: 5 of 94
  • Microbiology 87
  • Physical and Theoretical Chemistry 102
  • Molecular Biology 731
  • Atomic and Molecular Physics, and Optics 260
  • Computational Theory and Mathematics 131
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Ànna Pavlova United States
Alice Glättli Switzerland
Mario Orsi United Kingdom
Hyung‐June Woo United States
Volker Knecht Germany
Lea Thøgersen Denmark
Daniel Trzesniak Switzerland
Atsuo Tamura Japan
Andreas Kukol United Kingdom
Indira Chandrasekhar Switzerland
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Citations per year

Countries citing papers authored by Piotr Setny

Since Specialization
Citations

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

Fields of papers citing papers by Piotr Setny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Piotr Setny, 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 Piotr Setny Line = papers co-authored together Piotr Setny links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010233
2 2010195
3
Discovering highly potent antimicrobial peptides with deep generative model HydrAMP
Hit paper breakdown →
2023115
4 201372
5 201154
6 200844
7 200936
8 200631
9 201228
10 201326
11 200720
12 200920
13 200818
14 201617
15 201317
16 201817
17 202014
18 201014
19 201513
20 201212

About Piotr Setny

Piotr Setny is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Materials Chemistry, Epidemiology and Spectroscopy, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Spectroscopy and Quantum Chemical Studies (15 papers), Lipid Membrane Structure and Behavior (11 papers), RNA and protein synthesis mechanisms (9 papers), Enzyme Structure and Function (6 papers), Influenza Virus Research Studies (5 papers), RNA modifications and cancer (4 papers) and Molecular spectroscopy and chirality (3 papers). The work is most often cited by research in Microbiology (87 citations), Physical and Theoretical Chemistry (102 citations), Molecular Biology (731 citations), Atomic and Molecular Physics, and Optics (260 citations) and Computational Theory and Mathematics (131 citations). Piotr Setny has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include J. Andrew McCammon, Riccardo Baron, Martin Zacharias, Joanna Trylska, Joachim Dzubiella, Maciej Geller, Julia Romanowska, Peter M. Kekenes–Huskey, Wojciech Kamysz and Damian Neubauer. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of Chemical Theory and Computation, The Journal of Chemical Physics, Proteins Structure Function and Bioinformatics and Proceedings of the National Academy of Sciences.

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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