Alexander L. Button

431 total citations
7 papers, 250 citations indexed

About

Alexander L. Button is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Alexander L. Button has authored 7 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 1 paper in Pharmacology. Recurrent topics in Alexander L. Button's work include Computational Drug Discovery Methods (4 papers), DNA and Nucleic Acid Chemistry (2 papers) and Retinal Imaging and Analysis (1 paper). Alexander L. Button is often cited by papers focused on Computational Drug Discovery Methods (4 papers), DNA and Nucleic Acid Chemistry (2 papers) and Retinal Imaging and Analysis (1 paper). Alexander L. Button collaborates with scholars based in Switzerland, Netherlands and Australia. Alexander L. Button's co-authors include Gisbert Schneider, Daniel Merk, Jan A. Hiss, Michaël Moret, Kenneth Atz, Francesca Grisoni, Petra Schneider, David M. Huang, Tara L. Pukala and Gisela Gabernet and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Advances and Physical Chemistry Chemical Physics.

In The Last Decade

Alexander L. Button

7 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander L. Button Switzerland 6 140 131 89 33 21 7 250
Francois Berenger Japan 12 239 1.7× 158 1.2× 124 1.4× 13 0.4× 24 1.1× 26 312
Jens A. Fuchs Switzerland 6 214 1.5× 268 2.0× 192 2.2× 38 1.2× 24 1.1× 9 368
Jianxing Hu China 10 168 1.2× 118 0.9× 65 0.7× 25 0.8× 8 0.4× 27 329
Derek van Tilborg Netherlands 6 145 1.0× 158 1.2× 115 1.3× 31 0.9× 18 0.9× 7 288
Chengyun Zhang China 10 120 0.9× 124 0.9× 127 1.4× 36 1.1× 9 0.4× 24 260
Jiashun Mao China 8 159 1.1× 143 1.1× 67 0.8× 15 0.5× 6 0.3× 16 261
Mingkun Lu China 9 224 1.6× 114 0.9× 28 0.3× 23 0.7× 29 1.4× 16 346
Arkadii Lin France 8 116 0.8× 174 1.3× 120 1.3× 34 1.0× 21 1.0× 15 227
Panagiotis-Christos Kotsias Sweden 3 248 1.8× 345 2.6× 271 3.0× 30 0.9× 13 0.6× 4 420
Shoichi Ishida Japan 9 162 1.2× 141 1.1× 132 1.5× 29 0.9× 14 0.7× 23 339

Countries citing papers authored by Alexander L. Button

Since Specialization
Citations

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

Fields of papers citing papers by Alexander L. Button

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander L. Button. 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 Alexander L. Button. The network helps show where Alexander L. Button may publish in the future.

Co-authorship network of co-authors of Alexander L. Button

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander L. Button. A scholar is included among the top collaborators of Alexander L. Button 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 Alexander L. Button. Alexander L. Button 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.
Tomasoni, Mattia, Ninon Mounier, Eleonora Porcu, et al.. (2023). Genome-wide Association Studies of Retinal Vessel Tortuosity Identify Numerous Novel Loci Revealing Genes and Pathways Associated With Ocular and Cardiometabolic Diseases. SHILAP Revista de lepidopterología. 3(3). 100288–100288. 12 indexed citations
2.
Grisoni, Francesca, Alexander L. Button, Michaël Moret, et al.. (2021). Combining generative artificial intelligence and on-chip synthesis for de novo drug design. Science Advances. 7(24). 103 indexed citations
3.
Button, Alexander L., Daniel Merk, Jan A. Hiss, & Gisbert Schneider. (2019). Automated de novo molecular design by hybrid machine intelligence and rule-driven chemical synthesis. Nature Machine Intelligence. 1(7). 307–315. 60 indexed citations
4.
Li, Jiawei, et al.. (2018). Ion Mobility-Mass Spectrometry Reveals Details of Formation and Structure for GAA·TCC DNA and RNA Triplexes. Journal of the American Society for Mass Spectrometry. 30(1). 103–112. 16 indexed citations
5.
Button, Alexander L., et al.. (2018). DNA triplex structure, thermodynamics, and destabilisation: insight from molecular simulations. Physical Chemistry Chemical Physics. 20(20). 14013–14023. 13 indexed citations
6.
Button, Alexander L., Jan A. Hiss, Petra Schneider, & Gisbert Schneider. (2016). Scoring of de novo Designed Chemical Entities by Macromolecular Target Prediction. Molecular Informatics. 36(1-2). 5 indexed citations
7.
Schneider, Petra, Alex T. Müller, Gisela Gabernet, et al.. (2016). Hybrid Network Model for “Deep Learning” of Chemical Data: Application to Antimicrobial Peptides. Molecular Informatics. 36(1-2). 41 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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