Andrew G. Myers

12.9k total citations · 2 hit papers
191 papers, 10.0k citations indexed

About

Andrew G. Myers is a scholar working on Organic Chemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, Andrew G. Myers has authored 191 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Organic Chemistry, 73 papers in Molecular Biology and 30 papers in Pharmacology. Recurrent topics in Andrew G. Myers's work include Chemical Synthesis and Analysis (48 papers), Synthetic Organic Chemistry Methods (42 papers) and Asymmetric Synthesis and Catalysis (40 papers). Andrew G. Myers is often cited by papers focused on Chemical Synthesis and Analysis (48 papers), Synthetic Organic Chemistry Methods (42 papers) and Asymmetric Synthesis and Catalysis (40 papers). Andrew G. Myers collaborates with scholars based in United States, Japan and Sweden. Andrew G. Myers's co-authors include Daisuke Tanaka, Bin Zheng, James L. Gleason, Bryant H. Yang, Michael R. Mannion, Peter S. Dragovich, Ian B. Seiple, Daniel W. Kung, Peter M. Wright and Stuart P. Romeril and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Andrew G. Myers

181 papers receiving 9.7k citations

Hit Papers

Development of a Decarboxylative Palladation Reaction and... 1997 2026 2006 2016 2002 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew G. Myers United States 56 7.8k 3.1k 1.5k 993 681 191 10.0k
Robert M. Adlington United Kingdom 37 3.6k 0.5× 1.9k 0.6× 926 0.6× 801 0.8× 403 0.6× 243 5.3k
K. C. Nicolaou United States 62 9.8k 1.2× 3.5k 1.1× 2.1k 1.5× 1.1k 1.1× 1.3k 1.9× 224 12.6k
Gary H. Posner United States 60 8.5k 1.1× 5.0k 1.6× 624 0.4× 842 0.8× 445 0.7× 363 15.4k
Stephen Hanessian Canada 65 14.5k 1.9× 9.2k 3.0× 1.9k 1.3× 1.5k 1.5× 1.3k 2.0× 571 19.1k
David Crich United States 63 14.8k 1.9× 9.8k 3.2× 901 0.6× 522 0.5× 1.0k 1.5× 437 16.6k
Ähmed Kamal India 54 8.5k 1.1× 4.4k 1.4× 804 0.6× 525 0.5× 193 0.3× 412 11.2k
Lutz F. Tietze Germany 49 10.8k 1.4× 4.3k 1.4× 1.2k 0.8× 1.1k 1.1× 737 1.1× 445 13.2k
Hiroyuki Koshino Japan 46 3.4k 0.4× 3.6k 1.2× 2.1k 1.4× 333 0.3× 939 1.4× 351 8.5k
D. H. R. BARTON United States 45 8.2k 1.0× 2.6k 0.8× 599 0.4× 1.2k 1.2× 316 0.5× 303 10.6k
Hung‐wen Liu United States 53 3.9k 0.5× 6.1k 2.0× 2.7k 1.9× 1.0k 1.0× 1.1k 1.5× 279 9.8k

Countries citing papers authored by Andrew G. Myers

Since Specialization
Citations

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

Fields of papers citing papers by Andrew G. Myers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew G. Myers. 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 Andrew G. Myers. The network helps show where Andrew G. Myers may publish in the future.

Co-authorship network of co-authors of Andrew G. Myers

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew G. Myers. A scholar is included among the top collaborators of Andrew G. Myers 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 Andrew G. Myers. Andrew G. Myers 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.
Liu, Fan, et al.. (2025). CCDC 2224051: Experimental Crystal Structure Determination. Open MIND.
2.
Wu, Kelvin J. Y., et al.. (2025). Practical Synthesis of Oxepanoprolines. Organic Process Research & Development. 29(3). 828–835.
3.
André, Camille, Kelvin J. Y. Wu, Andrew G. Myers, & Paulo J. M. Bispo. (2024). Synthetic lincosamides iboxamycin and cresomycin are active against ocular multidrug-resistant methicillin-resistant Staphylococcus aureus carrying erm genes. Journal of Global Antimicrobial Resistance. 39. 144–148.
4.
Wu, Kelvin J. Y., Elena V. Aleksandrova, Egor A. Syroegin, et al.. (2024). An antibiotic preorganized for ribosomal binding overcomes antimicrobial resistance. Science. 383(6684). 721–726. 42 indexed citations
5.
Aleksandrova, Elena V., Kelvin J. Y. Wu, Egor A. Syroegin, et al.. (2024). Structural basis of Cfr-mediated antimicrobial resistance and mechanisms to evade it. Nature Chemical Biology. 20(7). 867–876. 16 indexed citations
6.
Wu, Kelvin J. Y., Dorota Klepacki, Alexander S. Mankin, & Andrew G. Myers. (2023). A method for tritiation of iboxamycin permits measurement of its ribosomal binding. Bioorganic & Medicinal Chemistry Letters. 91. 129364–129364. 3 indexed citations
7.
Myers, Andrew G., et al.. (2023). Analgesic onset and efficacy of a fast-acting formulation of acetaminophen in a postoperative dental impaction pain model. Current Medical Research and Opinion. 40(2). 267–277.
8.
Obana, Nozomu, Hiraku Takada, Caillan Crowe‐McAuliffe, et al.. (2023). Genome-encoded ABCF factors implicated in intrinsic antibiotic resistance in Gram-positive bacteria: VmlR2, Ard1 and CplR. Nucleic Acids Research. 51(9). 4536–4554. 16 indexed citations
9.
Mitcheltree, Matthew J., et al.. (2021). A Practical, Component-Based Synthetic Route to Methylthiolincosamine Permitting Facile Northern-Half Diversification of Lincosamide Antibiotics. Journal of the American Chemical Society. 143(18). 6829–6835. 12 indexed citations
10.
Mitcheltree, Matthew J., Amarnath Pisipati, Egor A. Syroegin, et al.. (2021). A synthetic antibiotic class overcoming bacterial multidrug resistance. Nature. 599(7885). 507–512. 170 indexed citations
11.
Hogan, Philip C., et al.. (2017). Large-scale preparation of key building blocks for the manufacture of fully synthetic macrolide antibiotics. The Journal of Antibiotics. 71(2). 318–325. 17 indexed citations
12.
Wright, Peter M., Ian B. Seiple, & Andrew G. Myers. (2014). The Evolving Role of Chemical Synthesis in Antibacterial Drug Discovery. Angewandte Chemie International Edition. 53(34). 8840–8869. 316 indexed citations
14.
Bradshaw, Leonard A., et al.. (2005). Vector projection of biomagnetic fields. Medical & Biological Engineering & Computing. 43(1). 85–93. 5 indexed citations
15.
Myers, Andrew G., Philip C. Hogan, Alexander R. Hurd, & Steven D. Goldberg. (2002). Enantioselective Synthesis of Kedarcidin Chromophore Aglycon in Differentially Protected Form. Angewandte Chemie International Edition. 41(6). 1062–1067. 35 indexed citations
16.
Myers, Andrew G. & Michael Siu. (2002). Lewis acid mediated control of allylic epoxide opening in carbocyclization and halide addition pathways. Tetrahedron. 58(32). 6397–6404. 13 indexed citations
17.
Plowright, Alleyn T., Scott E. Schaus, & Andrew G. Myers. (2002). Transcriptional Response Pathways in a Yeast Strain Sensitive to Saframycin A and a More Potent Analog. Chemistry & Biology. 9(5). 607–618. 28 indexed citations
18.
Myers, Andrew G., Bin Zheng, & Mohammad Movassaghi. (1998). ChemInform Abstract: Preparation of the Reagent o‐Nitrobenzenesulfonylhydrazide.. ChemInform. 29(11). 1 indexed citations
19.

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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