Fabian Dey

869 total citations · 1 hit paper
10 papers, 341 citations indexed

About

Fabian Dey is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Fabian Dey has authored 10 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 2 papers in Infectious Diseases. Recurrent topics in Fabian Dey's work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (3 papers) and Receptor Mechanisms and Signaling (2 papers). Fabian Dey is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (3 papers) and Receptor Mechanisms and Signaling (2 papers). Fabian Dey collaborates with scholars based in Switzerland, United States and Canada. Fabian Dey's co-authors include Amedeo Caflisch, Donald Petrey, Barry Honig, Peter Kolb, Danzhi Huang, Howook Hwang, Kenneth A. Bradley, Andrew C. Kruse, Daniel Kahne and Patrizio Mattei and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Fabian Dey

10 papers receiving 332 citations

Hit Papers

A new antibiotic traps lipopolysaccharide in its intermem... 2024 2026 2025 2024 20 40 60
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.

  1. A new antibiotic traps lipopolysaccharide in its intermembrane transporter
    2024 74 citations Karanbir S. Pahil, Morgan S. A. Gilman et al. Nature profile →

Peers

Fabian Dey
Carlos P. Modenutti Argentina
Jerry O. Ebalunode United States
Leslie Regad France
Ricardo Visini Switzerland
Christophe Bovigny Switzerland
Olivier Sheik Amamuddy South Africa
Stuart Firth‐Clark United Kingdom
Tong He China
Karnati Konda Reddy India
Anatoly M. Ruvinsky United States
Carlos P. Modenutti Argentina
Fabian Dey
Citations per year, relative to Fabian Dey Fabian Dey (= 1×) peers Carlos P. Modenutti

Countries citing papers authored by Fabian Dey

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Dey

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

All Works

10 of 10 papers shown
1.
Berchtold, Susanne, Nenad Manevski, Lothar Lindemann, et al.. (2025). Orally Bioavailable Dopamine D1/D5 Receptor-Biased Agonists to Study the Role of β-Arrestin in Treatment-Related Dyskinesia in Parkinson’s Disease. Journal of Medicinal Chemistry. 68(13). 13532–13561. 1 indexed citations
2.
Pahil, Karanbir S., Morgan S. A. Gilman, Vadim Baidin, et al.. (2024). A new antibiotic traps lipopolysaccharide in its intermembrane transporter. Nature. 625(7995). 572–577. 74 indexed citations breakdown →
3.
Waibl, Franz, Fabio Casagrande, Fabian Dey, & Sereina Riniker. (2024). Validating Small-Molecule Force Fields for Macrocyclic Compounds Using NMR Data in Different Solvents. Journal of Chemical Information and Modeling. 64(20). 7938–7948. 3 indexed citations
4.
Lin, Xianfeng, Weixing Zhang, Zongxing Qiu, et al.. (2019). A New Approach of Mitigating CYP3A4 Induction Led to the Discovery of Potent Hepatitis B Virus (HBV) Capsid Inhibitor with Optimal ADMET Profiles. Journal of Medicinal Chemistry. 62(22). 10352–10361. 7 indexed citations
5.
Hwang, Howook, Fabian Dey, Donald Petrey, & Barry Honig. (2017). Structure-based prediction of ligand–protein interactions on a genome-wide scale. Proceedings of the National Academy of Sciences. 114(52). 13685–13690. 40 indexed citations
6.
Dey, Fabian, et al.. (2015). On-rate based optimization of structure–kinetic relationship – surfing the kinetic map. Drug Discovery Today Technologies. 17. 9–15. 37 indexed citations
7.
Dey, Fabian, Qiangfeng Cliff Zhang, Donald Petrey, & Barry Honig. (2013). Toward a “Structural BLAST”: Using structural relationships to infer function. Protein Science. 22(4). 359–366. 17 indexed citations
8.
Wu, Yibing, Marco Punta, Rong Xiao, et al.. (2012). NMR Structure of Lipoprotein YxeF from Bacillus subtilis Reveals a Calycin Fold and Distant Homology with the Lipocalin Blc from Escherichia coli. PLoS ONE. 7(6). e37404–e37404. 6 indexed citations
9.
Dey, Fabian & Amedeo Caflisch. (2008). Fragment-Based de Novo Ligand Design by Multiobjective Evolutionary Optimization. Journal of Chemical Information and Modeling. 48(3). 679–690. 106 indexed citations
10.
Kolb, Peter, Danzhi Huang, Fabian Dey, & Amedeo Caflisch. (2008). Discovery of Kinase Inhibitors by High-Throughput Docking and Scoring Based on a Transferable Linear Interaction Energy Model. Journal of Medicinal Chemistry. 51(5). 1179–1188. 50 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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