Morgan Thomas

549 total citations
21 papers, 309 citations indexed

About

Morgan Thomas is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Morgan Thomas has authored 21 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 9 papers in Materials Chemistry. Recurrent topics in Morgan Thomas's work include Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (9 papers) and Chemical Synthesis and Analysis (3 papers). Morgan Thomas is often cited by papers focused on Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (9 papers) and Chemical Synthesis and Analysis (3 papers). Morgan Thomas collaborates with scholars based in United Kingdom, United States and United Arab Emirates. Morgan Thomas's co-authors include Andreas Bender, Chris de Graaf, Noel M. O’Boyle, R T Smith, Derek Barratt, Jason G. Kettle, Gonçalo J. L. Bernardes, D. Ogg, Hilary Lewis and Marianne Schimpl and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Morgan Thomas

19 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morgan Thomas United Kingdom 10 175 120 83 51 48 21 309
Miho Mizutani Japan 9 194 1.1× 164 1.4× 39 0.5× 18 0.4× 95 2.0× 21 409
Navneet Bung India 10 203 1.2× 154 1.3× 81 1.0× 9 0.2× 23 0.5× 19 323
Ulrik Schulze Switzerland 7 118 0.7× 126 1.1× 20 0.2× 24 0.5× 14 0.3× 15 350
Craig A. Swanson United States 8 341 1.9× 77 0.6× 33 0.4× 132 2.6× 29 0.6× 9 457
Stefania Pfeiffer‐Marek Germany 11 254 1.5× 78 0.7× 48 0.6× 22 0.4× 21 0.4× 14 329
Xiang Zhai United States 15 370 2.1× 24 0.2× 191 2.3× 39 0.8× 60 1.3× 19 519
David Rooklin United States 10 175 1.0× 50 0.4× 53 0.6× 35 0.7× 81 1.7× 11 347
Niclas Tue Hansen Denmark 6 252 1.4× 80 0.7× 29 0.3× 23 0.5× 23 0.5× 7 389
Petrina Kamya Canada 7 138 0.8× 119 1.0× 60 0.7× 10 0.2× 27 0.6× 8 317
Jonathan Y. Bass United States 8 115 0.7× 50 0.4× 36 0.4× 209 4.1× 76 1.6× 8 382

Countries citing papers authored by Morgan Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Morgan Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morgan Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Morgan Thomas. A scholar is included among the top collaborators of Morgan Thomas 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 Morgan Thomas. Morgan Thomas 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.
Thomas, Morgan, Pierre Matricon, Jonathan S. Mason, et al.. (2025). Identification of nanomolar adenosine A2A receptor ligands using reinforcement learning and structure-based drug design. Nature Communications. 16(1). 5485–5485. 2 indexed citations
2.
Thomas, Morgan, et al.. (2025). REINFORCE-ING Chemical Language Models for Drug Discovery. Journal of Chemical Information and Modeling. 65(23). 12752–12763. 1 indexed citations
3.
Thomas, Morgan, et al.. (2025). Test-Time Training Scaling Laws for Chemical Exploration in Drug Design. Journal of Chemical Information and Modeling. 65(24). 13178–13186. 1 indexed citations
4.
Thomas, Morgan, Mazen Ahmad, Gary Tresadern, & Gianni De Fabritiis. (2024). PromptSMILES: prompting for scaffold decoration and fragment linking in chemical language models. Journal of Cheminformatics. 16(1). 77–77. 2 indexed citations
5.
Thomas, Morgan, Noel M. O’Boyle, Andreas Bender, & Chris de Graaf. (2024). MolScore: a scoring, evaluation and benchmarking framework for generative models in de novo drug design. Journal of Cheminformatics. 16(1). 64–64. 13 indexed citations
6.
Handa, Koichi, et al.. (2023). On the difficulty of validating molecular generative models realistically: a case study on public and proprietary data. Journal of Cheminformatics. 15(1). 112–112. 9 indexed citations
7.
Thomas, Morgan, Martina Finetti, Steven Pollock, et al.. (2023). PREDICTING GLIOBLASTOMA GENE EXPRESSION THERAPY RESPONSE WITH MACHINE LEARNING. Neuro-Oncology. 25(Supplement_3). iii13–iii14. 1 indexed citations
8.
Thomas, Morgan, Andreas Bender, & Chris de Graaf. (2023). Integrating structure-based approaches in generative molecular design. Current Opinion in Structural Biology. 79. 102559–102559. 32 indexed citations
9.
White, Jason C., et al.. (2023). Novel Compound Heterozygous ZAP70 R37G A507T Mutations in Infant with Severe Immunodeficiency. Journal of Clinical Immunology. 44(1). 27–27. 1 indexed citations
10.
Thomas, Morgan, Noel M. O’Boyle, Andreas Bender, & Chris de Graaf. (2022). Augmented Hill-Climb increases reinforcement learning efficiency for language-based de novo molecule generation. Journal of Cheminformatics. 14(1). 68–68. 22 indexed citations
11.
Staniszewska, Anna D., Joshua Armenia, Matthew King, et al.. (2022). PARP inhibition is a modulator of anti-tumor immune response in BRCA-deficient tumors. OncoImmunology. 11(1). 2083755–2083755. 37 indexed citations
12.
Thomas, Morgan, Louise Amlie‐Wolf, Laura Baker, & Karen W. Gripp. (2021). The Genetic Testing Stewardship Program:. Delaware Journal of Public Health. 7(5). 20–23. 3 indexed citations
13.
Thomas, Morgan, R T Smith, Noel M. O’Boyle, Chris de Graaf, & Andreas Bender. (2021). Comparison of structure- and ligand-based scoring functions for deep generative models: a GPCR case study. Journal of Cheminformatics. 13(1). 39–39. 49 indexed citations
14.
Thomas, Morgan, et al.. (2021). Applications of Artificial Intelligence in Drug Design: Opportunities and Challenges. Methods in molecular biology. 2390. 1–59. 19 indexed citations
15.
Amlie‐Wolf, Louise, Laura Baker, Morgan Thomas, et al.. (2021). Novel genetic testing model: A collaboration between genetic counselors and nephrology. American Journal of Medical Genetics Part A. 185(4). 1142–1150. 20 indexed citations
16.
Thomas, Morgan, et al.. (2021). Native American Two Spirit and LGBTQ health: A systematic review of the literature. Journal of Gay & Lesbian Mental Health. 26(4). 367–402. 15 indexed citations
17.
Thomas, Morgan, Jaswir Basran, Hanna Kwon, et al.. (2020). Discovery of a heme-binding domain in a neuronal voltage-gated potassium channel. Journal of Biological Chemistry. 295(38). 13277–13286. 22 indexed citations
18.
Roxby, Alison C., et al.. (2020). Developing Resources for American Indian/Alaska Native Transgender and Two-Spirit Youth, Their Relatives, and Healthcare Providers. Progress in community health partnerships. 14(4). 509–516. 3 indexed citations
19.
Hoyt, Emily, Morgan Thomas, Marianne Schimpl, et al.. (2020). Alkynyl Benzoxazines and Dihydroquinazolines as Cysteine Targeting Covalent Warheads and Their Application in Identification of Selective Irreversible Kinase Inhibitors. Journal of the American Chemical Society. 142(23). 10358–10372. 57 indexed citations
20.

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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