Alex Dickson

2.0k total citations
60 papers, 1.3k citations indexed

About

Alex Dickson is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Alex Dickson has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 13 papers in Materials Chemistry and 11 papers in Computational Theory and Mathematics. Recurrent topics in Alex Dickson's work include Protein Structure and Dynamics (34 papers), Computational Drug Discovery Methods (11 papers) and Enzyme Structure and Function (8 papers). Alex Dickson is often cited by papers focused on Protein Structure and Dynamics (34 papers), Computational Drug Discovery Methods (11 papers) and Enzyme Structure and Function (8 papers). Alex Dickson collaborates with scholars based in United States, United Kingdom and Germany. Alex Dickson's co-authors include Samuel Lotz, Charles L. Brooks, Aaron R. Dinner, Aryeh Warmflash, Tom Dixon, Heinrich Röder, John Karanicolas, Logan S. Ahlstrom, Harish Vashisth and Pratyush Tiwary and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Alex Dickson

56 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Dickson United States 22 990 326 270 178 143 60 1.3k
Guillermo Pérez‐Hernández Germany 13 1.5k 1.5× 210 0.6× 445 1.6× 254 1.4× 298 2.1× 22 2.0k
Fabian Paul Germany 14 1.6k 1.7× 285 0.9× 485 1.8× 219 1.2× 306 2.1× 17 2.0k
Yoshifumi Fukunishi Japan 25 1.2k 1.2× 529 1.6× 335 1.2× 319 1.8× 226 1.6× 116 1.9k
Yutong Zhao China 4 1.3k 1.3× 286 0.9× 454 1.7× 275 1.5× 199 1.4× 7 1.8k
Timothy R. Lezon United States 13 1.3k 1.3× 203 0.6× 334 1.2× 111 0.6× 141 1.0× 24 1.6k
Carlos X. Hernández United States 8 1.6k 1.6× 250 0.8× 498 1.8× 174 1.0× 249 1.7× 12 2.1k
Rafal Wiewiora United States 7 1.5k 1.5× 365 1.1× 571 2.1× 301 1.7× 193 1.3× 10 2.1k
Christoph Wehmeyer Germany 12 1.3k 1.4× 313 1.0× 646 2.4× 203 1.1× 219 1.5× 15 1.9k
Yilin Meng United States 20 1.2k 1.2× 257 0.8× 288 1.1× 208 1.2× 162 1.1× 43 1.6k
Chaya Stern United States 4 1.3k 1.3× 339 1.0× 497 1.8× 292 1.6× 186 1.3× 5 1.9k

Countries citing papers authored by Alex Dickson

Since Specialization
Citations

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

Fields of papers citing papers by Alex Dickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Dickson

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

All Works

20 of 20 papers shown
1.
2.
Dickson, Alex, et al.. (2025). AGDIFF: Attention-Enhanced Diffusion for Molecular Geometry Prediction. Journal of Chemical Information and Modeling. 65(4). 1798–1811. 1 indexed citations
3.
Adam, Roman, Alex Dickson, F. Sylla, et al.. (2024). Advanced Laser–Plasma Diagnostics for a Modular High-Repetition-Rate Plasma Electron Accelerator. Instruments. 8(3). 40–40.
4.
Lotz, Samuel, et al.. (2023). How Robust Is the Ligand Binding Transition State?. Journal of the American Chemical Society. 145(46). 25318–25331. 7 indexed citations
5.
Dickson, Alex, et al.. (2023). Adrenomedullin 2/intermedin is a slow off-rate, long-acting endogenous agonist of the adrenomedullin2 G protein–coupled receptor. Journal of Biological Chemistry. 299(6). 104785–104785. 10 indexed citations
6.
Ducker, Charles, Seongho Kim, Sally Yurgelevic, et al.. (2023). The Small Molecule Antagonist KCI807 Disrupts Association of the Amino-Terminal Domain of the Androgen Receptor with ELK1 by Modulating the Adjacent DNA Binding Domain. Molecular Pharmacology. 103(4). 211–220. 2 indexed citations
7.
Ormsby, Angelique R., Dezerae Cox, Nagaraj S. Moily, et al.. (2022). A biosensor of protein foldedness identifies increased “holdase” activity of chaperones in the nucleus following increased cytosolic protein aggregation. Journal of Biological Chemistry. 298(8). 102158–102158. 4 indexed citations
8.
Dickson, Alex, et al.. (2022). Local Ion Densities can Influence Transition Paths of Molecular Binding. Frontiers in Molecular Biosciences. 9. 858316–858316. 2 indexed citations
9.
Hirn, Matthew, et al.. (2021). ClassicalGSG : Prediction of log P using classical molecular force fields and geometric scattering for graphs. Journal of Computational Chemistry. 42(14). 1006–1017. 9 indexed citations
10.
Dickson, Alex, et al.. (2021). Predicting partition coefficients for the SAMPL7 physical property challenge using the ClassicalGSG method. Journal of Computer-Aided Molecular Design. 35(7). 819–830. 7 indexed citations
11.
Dixon, Tom, Samuel Lotz, & Alex Dickson. (2021). Creating Maps of the Ligand Binding Landscape for Kinetics-Based Drug Discovery. Methods in molecular biology. 2385. 325–334.
12.
Lotz, Samuel & Alex Dickson. (2020). Wepy: A Flexible Software Framework for Simulating Rare Events with Weighted Ensemble Resampling. ACS Omega. 5(49). 31608–31623. 24 indexed citations
13.
Rizzi, Andrea, David R. Slochower, Matteo Aldeghi, et al.. (2020). The SAMPL6 SAMPLing challenge: assessing the reliability and efficiency of binding free energy calculations. Journal of Computer-Aided Molecular Design. 34(5). 601–633. 82 indexed citations
14.
Hall, Robert M., Tom Dixon, & Alex Dickson. (2020). On Calculating Free Energy Differences Using Ensembles of Transition Paths. Frontiers in Molecular Biosciences. 7. 106–106. 31 indexed citations
15.
Dickson, Alex, et al.. (2019). REVO: Resampling of ensembles by variation optimization. The Journal of Chemical Physics. 150(24). 244112–244112. 41 indexed citations
16.
Röder, Heinrich, et al.. (2019). Isothermal Analysis of ThermoFluor Data can readily provide Quantitative Binding Affinities. Scientific Reports. 9(1). 2650–2650. 96 indexed citations
17.
Bogetti, Anthony T., Barmak Mostofian, Alex Dickson, et al.. (2019). A Suite of Tutorials for the WESTPA Rare-Events Sampling Software [Article v1.0]. PubMed. 1(2). 10607–10607. 25 indexed citations
18.
Chen, Chen, Andrew K. Urick, Ke Shi, et al.. (2019). Selectivity, ligand deconstruction, and cellular activity analysis of a BPTF bromodomain inhibitor. Organic & Biomolecular Chemistry. 17(7). 2020–2027. 19 indexed citations
19.
Lotz, Samuel & Alex Dickson. (2018). Unbiased Molecular Dynamics of 11 min Timescale Drug Unbinding Reveals Transition State Stabilizing Interactions. Journal of the American Chemical Society. 140(2). 618–628. 93 indexed citations
20.
Dickson, Alex & Samuel Lotz. (2017). Multiple Ligand Unbinding Pathways and Ligand-Induced Destabilization Revealed by WExplore. Biophysical Journal. 112(4). 620–629. 61 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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