Billy J. Williams‐Noonan

619 total citations
15 papers, 464 citations indexed

About

Billy J. Williams‐Noonan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Billy J. Williams‐Noonan has authored 15 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 3 papers in Organic Chemistry. Recurrent topics in Billy J. Williams‐Noonan's work include Computational Drug Discovery Methods (5 papers), Chemical Synthesis and Analysis (4 papers) and Protein Structure and Dynamics (2 papers). Billy J. Williams‐Noonan is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Chemical Synthesis and Analysis (4 papers) and Protein Structure and Dynamics (2 papers). Billy J. Williams‐Noonan collaborates with scholars based in Australia, United States and Malaysia. Billy J. Williams‐Noonan's co-authors include David K. Chalmers, Elizabeth Yuriev, Stephan M. Levonis, Anna Lohning, Stephanie S. Schweiker, Irene Yarovsky, Nevena Todorova, Raymond S. Norton, Νicholas Barlow and Philip E. Thompson and has published in prestigious journals such as Advanced Materials, Nature Communications and The Journal of Physical Chemistry B.

In The Last Decade

Billy J. Williams‐Noonan

14 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Billy J. Williams‐Noonan Australia	11	272	152	65	61	53	15	464
Beihong Ji United States	12	360 1.3×	169 1.1×	65 1.0×	32 0.5×	43 0.8×	33	507
Kalaimathy Singaravelu Finland	8	288 1.1×	153 1.0×	52 0.8×	75 1.2×	30 0.6×	17	527
Atefeh Saadabadi Finland	7	205 0.8×	155 1.0×	49 0.8×	89 1.5×	32 0.6×	13	470
D’Artagnan Greene United States	7	403 1.5×	165 1.1×	53 0.8×	77 1.3×	33 0.6×	14	583
Yuno Lee South Korea	17	482 1.8×	122 0.8×	42 0.6×	74 1.2×	43 0.8×	56	717
Jilong Zhang China	15	371 1.4×	127 0.8×	115 1.8×	73 1.2×	22 0.4×	93	733
Jennifer M. Bui Canada	13	418 1.5×	102 0.7×	103 1.6×	48 0.8×	85 1.6×	26	540
Jonathan C. Fuller Germany	7	475 1.7×	197 1.3×	105 1.6×	87 1.4×	41 0.8×	9	633
Qinghua Liao Sweden	13	470 1.7×	85 0.6×	120 1.8×	51 0.8×	35 0.7×	22	655
Marine E. Bozdaganyan Russia	14	361 1.3×	164 1.1×	151 2.3×	62 1.0×	16 0.3×	27	595

Countries citing papers authored by Billy J. Williams‐Noonan

Since Specialization

Citations

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

Fields of papers citing papers by Billy J. Williams‐Noonan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Billy J. Williams‐Noonan. 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 Billy J. Williams‐Noonan. The network helps show where Billy J. Williams‐Noonan may publish in the future.

Co-authorship network of co-authors of Billy J. Williams‐Noonan

This figure shows the co-authorship network connecting the top 25 collaborators of Billy J. Williams‐Noonan. A scholar is included among the top collaborators of Billy J. Williams‐Noonan 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 Billy J. Williams‐Noonan. Billy J. Williams‐Noonan 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:

15 of 15 papers shown

Hao, Yumeng, Billy J. Williams‐Noonan, Patrick Sutton, et al.. (2025). Computational Lipidomics Reveals Environment-Specific Membrane Remodeling in Prostate Cancer. Journal of Chemical Information and Modeling. 65(23). 12894–12904.

Williams‐Noonan, Billy J., et al.. (2024). Graphitic nanoflakes modulate the structure and binding of human amylin. Nanoscale. 16(36). 16870–16886. 2 indexed citations

Flood, E. A., Billy J. Williams‐Noonan, Karen Corbett, et al.. (2024). Potassium dependent structural changes in the selectivity filter of HERG potassium channels. Nature Communications. 15(1). 7470–7470. 10 indexed citations

Williams‐Noonan, Billy J., Ketav Kulkarni, Nevena Todorova, et al.. (2024). Atomic Scale Structure of Self‐Assembled Lipidated Peptide Nanomaterials. Advanced Materials. 36(24). e2311103–e2311103. 2 indexed citations

Williams‐Noonan, Billy J., et al.. (2023). Self-assembling peptide biomaterials: Insights from spontaneous and enhanced sampling molecular dynamics simulations. Chemical Physics Reviews. 4(2). 25 indexed citations

Williams‐Noonan, Billy J., Tu C. Le, Philip E. Thompson, et al.. (2022). Membrane Permeating Macrocycles: Design Guidelines from Machine Learning. Journal of Chemical Information and Modeling. 62(19). 4605–4619. 14 indexed citations

Williams‐Noonan, Billy J., Nevena Todorova, Ketav Kulkarni, Marie‐Isabel Aguilar, & Irene Yarovsky. (2021). An Active Site Inhibitor Induces Conformational Penalties for ACE2 Recognition by the Spike Protein of SARS-CoV-2. The Journal of Physical Chemistry B. 125(10). 2533–2550. 22 indexed citations

Barlow, Νicholas, David K. Chalmers, Billy J. Williams‐Noonan, Philip E. Thompson, & Raymond S. Norton. (2020). Improving Membrane Permeation in the Beyond Rule-of-Five Space by Using Prodrugs to Mask Hydrogen Bond Donors. ACS Chemical Biology. 15(8). 2070–2078. 35 indexed citations

Bumbak, Fabian, Billy J. Williams‐Noonan, Fei Yan, et al.. (2020). Conformational Changes in Tyrosine 11 of Neurotensin Are Required to Activate the Neurotensin Receptor 1. ACS Pharmacology & Translational Science. 3(4). 690–705. 12 indexed citations

10.

Wai, Dorothy C.C., Bankala Krishnarjuna, Christopher A. MacRaild, et al.. (2019). Structural and functional characterisation of a novel peptide from the Australian sea anemone Actinia tenebrosa. Toxicon. 168. 104–112. 13 indexed citations

11.

Northfield, Susan E., J. Wielens, Stephen J. Headey, et al.. (2018). Cyclic Hexapeptide Mimics of the LEDGF Integrase Recognition Loop in Complex with HIV‐1 Integrase. ChemMedChem. 13(15). 1555–1565. 5 indexed citations

12.

Barlow, Νicholas, Eleanor W. W. Leung, Billy J. Williams‐Noonan, et al.. (2018). A Cyclic Peptide Inhibitor of the iNOS–SPSB Protein–Protein Interaction as a Potential Anti-Infective Agent. ACS Chemical Biology. 13(10). 2930–2938. 15 indexed citations

13.

Vu, Hoan, Jessica A. Rowley, Miaomiao Liu, et al.. (2018). Fragment-Based Screening of a Natural Product Library against 62 Potential Malaria Drug Targets Employing Native Mass Spectrometry. ACS Infectious Diseases. 4(4). 431–444. 56 indexed citations

14.

Williams‐Noonan, Billy J., Elizabeth Yuriev, & David K. Chalmers. (2017). Free Energy Methods in Drug Design: Prospects of “Alchemical Perturbation” in Medicinal Chemistry. Journal of Medicinal Chemistry. 61(3). 638–649. 132 indexed citations

15.

Lohning, Anna, Stephan M. Levonis, Billy J. Williams‐Noonan, & Stephanie S. Schweiker. (2017). A Practical Guide to Molecular Docking and Homology Modelling for Medicinal Chemists. Current Topics in Medicinal Chemistry. 17(18). 2023–2040. 121 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.

Explore authors with similar magnitude of impact