Lauren T. May

5.5k total citations · 1 hit paper
89 papers, 4.0k citations indexed

About

Lauren T. May is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lauren T. May has authored 89 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 38 papers in Physiology and 30 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lauren T. May's work include Receptor Mechanisms and Signaling (58 papers), Adenosine and Purinergic Signaling (38 papers) and Neuropeptides and Animal Physiology (25 papers). Lauren T. May is often cited by papers focused on Receptor Mechanisms and Signaling (58 papers), Adenosine and Purinergic Signaling (38 papers) and Neuropeptides and Animal Physiology (25 papers). Lauren T. May collaborates with scholars based in Australia, United States and United Kingdom. Lauren T. May's co-authors include Arthur Christopoulos, Patrick M. Sexton, Katie Leach, Stephen J. Hill, Paul J. White, Thi Nguyen, Jo‐Anne Baltos, Elizabeth A. Vecchio, Peter J. Scammells and Vimesh A. Avlani and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Lauren T. May

85 papers receiving 4.0k citations

Hit Papers

align trajectories

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.

Allosteric Modulation of G Protein–Coupled Receptors

2006 566 citations Lauren T. May, Katie Leach et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lauren T. May Australia	37	3.0k	1.6k	854	386	365	89	4.0k
Steven J. Charlton United Kingdom	34	2.5k 0.8×	1.3k 0.8×	360 0.4×	433 1.1×	282 0.8×	85	3.8k
Raymond B. Penn United States	44	4.6k 1.5×	2.1k 1.4×	234 0.3×	813 2.1×	182 0.5×	117	7.0k
Jillian G. Baker United Kingdom	23	3.1k 1.0×	1.9k 1.2×	172 0.2×	127 0.3×	373 1.0×	56	3.9k
Arun K. Shukla India	37	5.3k 1.8×	3.1k 2.0×	111 0.1×	417 1.1×	601 1.6×	101	6.1k
Sabrina Taliani Italy	36	1.8k 0.6×	490 0.3×	401 0.5×	197 0.5×	153 0.4×	145	3.6k
Jeremy M. Tavaré United Kingdom	45	5.5k 1.9×	706 0.5×	237 0.3×	403 1.0×	87 0.2×	130	7.7k
Taku Nagao Japan	36	2.6k 0.9×	892 0.6×	155 0.2×	142 0.4×	156 0.4×	188	4.4k
Misty M. Attwood Sweden	14	2.6k 0.9×	854 0.5×	70 0.1×	204 0.5×	381 1.0×	22	3.6k
Deirdre K. Luttrell United States	23	3.8k 1.3×	1.2k 0.8×	86 0.1×	346 0.9×	170 0.5×	34	5.0k
Céline Valant Australia	29	3.0k 1.0×	1.9k 1.2×	282 0.3×	52 0.1×	521 1.4×	70	3.4k

Countries citing papers authored by Lauren T. May

Since Specialization

Citations

This map shows the geographic impact of Lauren T. May'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 Lauren T. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren T. May more than expected).

Fields of papers citing papers by Lauren T. May

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren T. May. 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 Lauren T. May. The network helps show where Lauren T. May may publish in the future.

Co-authorship network of co-authors of Lauren T. May

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

All Works

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20 of 20 papers shown

Smedley, Christopher J., Thi Nguyen, Bing H. Wang, et al.. (2025). Structure–Activity Relationships of Highly Potent and Selective A _2B Adenosine Receptor Agonists. Journal of Medicinal Chemistry. 68(21). 22348–22365.

Zheng, Yizhen, et al.. (2025). Large language models for scientific discovery in molecular property prediction. Nature Machine Intelligence. 7(3). 437–447. 14 indexed citations

Nguyen, Thi, Nicolas Panel, Duc Duy Vo, et al.. (2025). Structure-based discovery of positive allosteric modulators of the A ₁ adenosine receptor. Proceedings of the National Academy of Sciences. 122(28). e2421687122–e2421687122. 1 indexed citations

Zhang, Liudi, Jesse I. Mobbs, Hariprasad Venugopal, et al.. (2025). Molecular basis of ligand binding and receptor activation at the human A3 adenosine receptor. Nature Communications. 16(1). 7674–7674.

Baltos, Jo‐Anne, et al.. (2024). Development of Putative Bivalent Dicovalent Ligands for the Adenosine A1 Receptor. ChemBioChem. 25(19). e202400242–e202400242. 1 indexed citations

Brodin, Tomas, Michael G. Bertram, Kathryn E. Arnold, et al.. (2024). The urgent need for designing greener drugs. Nature Sustainability. 7(8). 949–951. 28 indexed citations

Koh, Huan Yee, Thi Nguyen, Shirui Pan, Lauren T. May, & Geoffrey I. Webb. (2024). Physicochemical graph neural network for learning protein–ligand interaction fingerprints from sequence data. Nature Machine Intelligence. 6(6). 673–687. 29 indexed citations

Zhang, Liudi, Jesse I. Mobbs, Lauren T. May, Alisa Glukhova, & David M. Thal. (2023). The impact of cryo-EM on determining allosteric modulator-bound structures of G protein-coupled receptors. Current Opinion in Structural Biology. 79. 102560–102560. 20 indexed citations

Nguyen, Thi, Diep Thi Ngoc Nguyen, Huan Yee Koh, et al.. (2023). The application of artificial intelligence to accelerate G protein‐coupled receptor drug discovery. British Journal of Pharmacology. 181(14). 2371–2384. 20 indexed citations

10.

Nguyen, Thi, Paul J. White, Arthur Christopoulos, et al.. (2022). Examining the Role of the Linker in Bitopic N⁶-Substituted Adenosine Derivatives Acting as Biased Adenosine A₁ Receptor Agonists. Journal of Medicinal Chemistry. 65(13). 9076–9095. 5 indexed citations

11.

May, Lauren T., et al.. (2021). Inhibition of the Proliferation of Human Lung Fibroblasts by Prostacyclin Receptor Agonists is Linked to a Sustained cAMP Signal in the Nucleus. Frontiers in Pharmacology. 12. 669227–669227. 23 indexed citations

12.

Leach, Katie, Stephen J. Hill, Joel D. A. Tyndall, et al.. (2021). Development of Covalent, Clickable Probes for Adenosine A₁ and A₃ Receptors. Journal of Medicinal Chemistry. 64(12). 8161–8178. 8 indexed citations

13.

Nguyen, Thi, Cameron J. Nowell, Nicholas D. Kindon, et al.. (2021). Development and Application of Subtype-Selective Fluorescent Antagonists for the Study of the Human Adenosine A₁ Receptor in Living Cells. Journal of Medicinal Chemistry. 64(10). 6670–6695. 11 indexed citations

14.

Deora, Girdhar Singh, Cheng Xue Qin, Elizabeth A. Vecchio, et al.. (2019). Substituted Pyridazin-3(2H)-ones as Highly Potent and Biased Formyl Peptide Receptor Agonists. Journal of Medicinal Chemistry. 62(10). 5242–5248. 19 indexed citations

15.

Korczynska, Magdalena, Mary J. Clark, Céline Valant, et al.. (2018). Structure-based discovery of selective positive allosteric modulators of antagonists for the M ₂ muscarinic acetylcholine receptor. Proceedings of the National Academy of Sciences. 115(10). E2419–E2428. 54 indexed citations

16.

Miao, Yinglong, Apurba Bhattarai, Thi Nguyen, Arthur Christopoulos, & Lauren T. May. (2018). Structural Basis for Binding of Allosteric Drug Leads in the Adenosine A1 Receptor. Scientific Reports. 8(1). 16836–16836. 45 indexed citations

17.

Aurelio, Luigi, Jo‐Anne Baltos, Leigh Ford, et al.. (2018). A Structure–Activity Relationship Study of BitopicN⁶-Substituted Adenosine Derivatives as Biased Adenosine A₁Receptor Agonists. Journal of Medicinal Chemistry. 61(5). 2087–2103. 26 indexed citations

18.

Jörg, Manuela, Alisa Glukhova, Elizabeth A. Vecchio, et al.. (2016). Novel Irreversible Agonists Acting at the A₁Adenosine Receptor. Journal of Medicinal Chemistry. 59(24). 11182–11194. 18 indexed citations

19.

Devine, Shane M., Lauren T. May, & Peter J. Scammells. (2013). Design, synthesis and evaluation of N⁶-substituted 2-aminoadenosine-5′-N-methylcarboxamides as A₃ adenosine receptor agonists. MedChemComm. 5(2). 192–196. 6 indexed citations

20.

Wootten, Denise, Emilia E. Savage, Céline Valant, et al.. (2012). Allosteric Modulation of Endogenous Metabolites as an Avenue for Drug Discovery. Molecular Pharmacology. 82(2). 281–290. 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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