Alex G. Baldwin

825 total citations
10 papers, 314 citations indexed

About

Alex G. Baldwin is a scholar working on Molecular Biology, Organic Chemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Alex G. Baldwin has authored 10 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Alex G. Baldwin's work include Inflammasome and immune disorders (4 papers), Cardiomyopathy and Myosin Studies (2 papers) and Synthesis and Biological Evaluation (2 papers). Alex G. Baldwin is often cited by papers focused on Inflammasome and immune disorders (4 papers), Cardiomyopathy and Myosin Studies (2 papers) and Synthesis and Biological Evaluation (2 papers). Alex G. Baldwin collaborates with scholars based in United Kingdom and United States. Alex G. Baldwin's co-authors include Sally Freeman, David Brough, Claire White, David J. Waxman, Zeqi Huang, Youssef Jounaïdi, Stuart M. Allan, Manikandan Kadirvel, Richard A. Bryce and Carl H. Schwalbe and has published in prestigious journals such as Scientific Reports, Journal of Medicinal Chemistry and Archives of Biochemistry and Biophysics.

In The Last Decade

Alex G. Baldwin

8 papers receiving 308 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 G. Baldwin United Kingdom 8 205 69 66 36 32 10 314
Kerrie B. Spencer United States 6 206 1.0× 27 0.4× 35 0.5× 29 0.8× 13 0.4× 6 283
José Antônio Fagundes Assumpção Brazil 8 218 1.1× 66 1.0× 54 0.8× 58 1.6× 13 0.4× 12 421
Yusheng Han United States 7 163 0.8× 24 0.3× 115 1.7× 32 0.9× 22 0.7× 9 374
Enxin Zhang China 12 374 1.8× 24 0.3× 56 0.8× 63 1.8× 25 0.8× 25 560
Akihiro Hashimoto Japan 15 329 1.6× 117 1.7× 32 0.5× 207 5.8× 16 0.5× 33 617
Stephen Eisennagel United States 8 266 1.3× 97 1.4× 27 0.4× 23 0.6× 16 0.5× 12 480
Argentina Ornelas United States 8 141 0.7× 29 0.4× 26 0.4× 34 0.9× 19 0.6× 11 314
Tongdan Wang China 12 242 1.2× 12 0.2× 29 0.4× 64 1.8× 17 0.5× 21 392
Siyi Wu China 15 250 1.2× 156 2.3× 67 1.0× 17 0.5× 36 1.1× 43 547
Seigo Ishibuchi Japan 10 175 0.9× 166 2.4× 56 0.8× 30 0.8× 14 0.4× 14 370

Countries citing papers authored by Alex G. Baldwin

Since Specialization
Citations

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

Fields of papers citing papers by Alex G. Baldwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex G. Baldwin

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

All Works

10 of 10 papers shown
2.
Baldwin, Alex G., David Foley, Hyun-Ah Lee, et al.. (2025). Tetrahydropyrazolopyridinones as a Novel Class of Potent and Highly Selective LIMK Inhibitors. Journal of Medicinal Chemistry. 68(16). 17427–17456.
3.
Lee, Hyun-Ah, Jonathan M. Elkins, Carys Thomas, et al.. (2022). Comparative Analysis of Small-Molecule LIMK1/2 Inhibitors: Chemical Synthesis, Biochemistry, and Cellular Activity. Journal of Medicinal Chemistry. 65(20). 13705–13713. 10 indexed citations
4.
Alsalahat, Izzeddin, Manikandan Kadirvel, Richard A. Bryce, et al.. (2018). Evaluation of analogues of furan-amidines as inhibitors of NQO2. Bioorganic & Medicinal Chemistry Letters. 28(8). 1292–1297. 17 indexed citations
5.
Redondo‐Castro, Elena, Alex G. Baldwin, Simon A. Osborne, et al.. (2018). Development of a characterised tool kit for the interrogation of NLRP3 inflammasome-dependent responses. Scientific Reports. 8(1). 5667–5667. 22 indexed citations
6.
Baldwin, Alex G., et al.. (2018). Design, Synthesis and Evaluation of Oxazaborine Inhibitors of the NLRP3 Inflammasome. ChemMedChem. 13(4). 312–320. 25 indexed citations
7.
Baldwin, Alex G., et al.. (2017). Synthesis and antibacterial activities of enamine derivatives of dehydroacetic acid. Medicinal Chemistry Research. 27(3). 884–889. 16 indexed citations
8.
Baldwin, Alex G., Jack Rivers‐Auty, Michael J. Daniels, et al.. (2017). Boron-Based Inhibitors of the NLRP3 Inflammasome. Cell chemical biology. 24(11). 1321–1335.e5. 78 indexed citations
9.
Baldwin, Alex G., David Brough, & Sally Freeman. (2015). Inhibiting the Inflammasome: A Chemical Perspective. Journal of Medicinal Chemistry. 59(5). 1691–1710. 117 indexed citations
10.
Baldwin, Alex G., Zeqi Huang, Youssef Jounaïdi, & David J. Waxman. (2002). Identification of novel enzyme–prodrug combinations for use in cytochrome P450-based gene therapy for cancer. Archives of Biochemistry and Biophysics. 409(1). 197–206. 29 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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