Ryan Byrne

1.1k total citations · 1 hit paper
8 papers, 692 citations indexed

About

Ryan Byrne is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Ryan Byrne has authored 8 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 2 papers in Pharmacology. Recurrent topics in Ryan Byrne's work include Computational Drug Discovery Methods (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). Ryan Byrne is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). Ryan Byrne collaborates with scholars based in Switzerland, Germany and United States. Ryan Byrne's co-authors include Gisbert Schneider, Yifei Wang, Xin Yang, Shengyong Yang, Daniel Merk, Francesca Grisoni, Ursula Storch, Inderjeet Singh, Christoph Bauer and Michael Mederos y Schnitzler and has published in prestigious journals such as Chemical Reviews, Scientific Reports and Journal of Chemical Information and Modeling.

In The Last Decade

Ryan Byrne

7 papers receiving 677 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery

2019 628 citations Xin Yang, Yifei Wang et al. Chemical Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan Byrne Switzerland	4	382	331	193	58	57	8	692
Jeff Blaney United States	7	392 1.0×	342 1.0×	179 0.9×	88 1.5×	45 0.8×	10	680
Ana C. Puhl United States	16	378 1.0×	494 1.5×	165 0.9×	72 1.2×	88 1.5×	48	1.0k
Stefano Rensi United States	7	493 1.3×	375 1.1×	201 1.0×	55 0.9×	62 1.1×	10	804
Zunyun Fu China	15	335 0.9×	345 1.0×	142 0.7×	125 2.2×	61 1.1×	29	717
Xiaolong Wu China	15	236 0.6×	249 0.8×	174 0.9×	41 0.7×	40 0.7×	39	710
Fergus Imrie United Kingdom	9	318 0.8×	288 0.9×	180 0.9×	35 0.6×	47 0.8×	17	494
Xiaoqin Tan China	14	668 1.7×	647 2.0×	265 1.4×	82 1.4×	94 1.6×	26	1.0k
Vladimir Aladinskiy Russia	9	431 1.1×	360 1.1×	301 1.6×	94 1.6×	33 0.6×	17	764
Valery Tkachenko United States	14	450 1.2×	470 1.4×	201 1.0×	62 1.1×	45 0.8×	18	1.0k
Yuemin Bian United States	11	280 0.7×	298 0.9×	106 0.5×	41 0.7×	59 1.0×	19	535

Countries citing papers authored by Ryan Byrne

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Byrne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Byrne

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Byrne. A scholar is included among the top collaborators of Ryan Byrne 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 Ryan Byrne. Ryan Byrne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Byrne, Ryan, et al.. (2024). Formal Methods for Establishing Simulation Interoperability for Military Health System Applications. Military Medicine. 189(Supplement_3). 767–774.

2.

Byrne, Ryan, et al.. (2023). Developing a blast injury modeling capability: application of concepts from the defense M&S domain. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 22(2). 83–103. 2 indexed citations

3.

Lenhart, Dominik, Ryan Byrne, Wolfgang Schliebs, et al.. (2021). Computer-Aided Design and Synthesis of a New Class of PEX14 Inhibitors: Substituted 2,3,4,5-Tetrahydrobenzo[F][1,4]oxazepines as Potential New Trypanocidal Agents. Journal of Chemical Information and Modeling. 61(10). 5256–5268. 3 indexed citations

4.

Friedrich, Lukas, Ryan Byrne, Inderjeet Singh, et al.. (2020). Shape Similarity by Fractal Dimensionality: An Application in the de novo Design of (−)‐Englerin A Mimetics. ChemMedChem. 15(7). 566–570. 5 indexed citations

5.

Yang, Xin, Yifei Wang, Ryan Byrne, Gisbert Schneider, & Shengyong Yang. (2019). Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery. Chemical Reviews. 119(18). 10520–10594. 628 indexed citations breakdown →

6.

Brunner, Cyrill, Ryan Byrne, Gisbert Schneider, et al.. (2019). SIG-02. RATIONAL TARGETING OF PRO-INVASIVE FGFR SIGNALING IN MEDULLOBLASTOMA. Neuro-Oncology. 21(Supplement_2). ii113–ii113. 1 indexed citations

7.

Byrne, Ryan & Gisbert Schneider. (2018). In Silico Target Prediction for Small Molecules. Methods in molecular biology. 1888. 273–309. 23 indexed citations

8.

Grisoni, Francesca, Daniel Merk, Ryan Byrne, & Gisbert Schneider. (2018). Scaffold-Hopping from Synthetic Drugs by Holistic Molecular Representation. Scientific Reports. 8(1). 16469–16469. 30 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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