Ryan Brenke

2.5k citations
13 papers · 1.9k indexed · 1 hit paper · h-index 11

Ryan Brenke

13 papers receiving 1.9k citations

Hit Papers

PIPER: An FFT‐based protein docking program with pairwise...6302006202620122019200400600

Peers

Ryan Brenke
Comparison fields: 5 of 111
  • Computational Theory and Mathematics 536
  • Molecular Biology 1.5k
  • Radiology, Nuclear Medicine and Imaging 266
  • Immunology 183
  • Virology 37
Replace Howook Hwang with:
Howook Hwang United States
David Gatchell United States
Tanggis Bohnuud United States
Scott E. Mottarella United States
Andrew A. Bogan United States
Sergey Lyskov United States
Stephen R. Comeau United States
Brian Jiménez‐García Spain
Anna Vangone Netherlands
Nir London Israel
Ryan Brenke relative to Howook Hwang United States Howook Hwang's profile →
Citations per field
00.5×1.5×
Howook Hwang · 1×
Citations per year

Countries citing papers authored by Ryan Brenke

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Brenke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 201233
2 2012153
3 201123
4 2011186
5 2010201
6 200935
7 200971
8 20099
9 2009364
10 2008129
11 200769
12 200710
13
PIPER: An FFT‐based protein docking program with pairwise potentialsbreakdown →
2006630

About Ryan Brenke

Ryan Brenke is a scholar working on Computational Theory and Mathematics, Molecular Biology and Biophysics, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (4 papers), Enzyme Structure and Function (4 papers), Protein purification and stability (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Carbohydrate Chemistry and Synthesis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (536 citations), Molecular Biology (1.5k citations) and Radiology, Nuclear Medicine and Imaging (266 citations). Ryan Brenke has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Dima Kozakov, Sándor Vajda, Stephen R. Comeau, Dmitri Beglov, Gwo‐Yu Chuang, David R. Hall, Melissa Landon, Carla Mattos, Yang Shen and Tanggis Bohnuud. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, Biophysical Journal, Nucleic Acids Research 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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