Alan M. Mathiowetz

2.9k total citations
38 papers, 1.8k citations indexed

About

Alan M. Mathiowetz is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Alan M. Mathiowetz has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 9 papers in Materials Chemistry. Recurrent topics in Alan M. Mathiowetz's work include Computational Drug Discovery Methods (11 papers), Chemical Synthesis and Analysis (9 papers) and Protein Structure and Dynamics (8 papers). Alan M. Mathiowetz is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Chemical Synthesis and Analysis (9 papers) and Protein Structure and Dynamics (8 papers). Alan M. Mathiowetz collaborates with scholars based in United States, Australia and China. Alan M. Mathiowetz's co-authors include Spiros Liras, David A. Price, R. Scott Lokey, Amit S. Kalgutkar, Chris Limberakis, Matthew P. Jacobson, Cristiano R. W. Guimarães, William A. Goddard, Meihua Tu and Siegfried S. F. Leung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Alan M. Mathiowetz

38 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alan M. Mathiowetz United States	23	1.4k	462	370	247	227	38	1.8k
Francesca Milletti United States	18	1.4k 1.0×	283 0.6×	415 1.1×	179 0.7×	511 2.3×	32	2.2k
Peter S. Kutchukian United States	19	1.0k 0.7×	496 1.1×	377 1.0×	180 0.7×	127 0.6×	28	1.6k
Julian E. Fuchs Austria	32	1.4k 1.0×	687 1.5×	299 0.8×	256 1.0×	274 1.2×	92	2.5k
Feifei Tian China	19	955 0.7×	154 0.3×	334 0.9×	142 0.6×	108 0.5×	47	1.4k
Walter H.J. Ward United Kingdom	18	985 0.7×	264 0.6×	203 0.5×	109 0.4×	298 1.3×	33	1.6k
Mario Lobell Germany	19	724 0.5×	222 0.5×	390 1.1×	145 0.6×	248 1.1×	32	1.4k
Brian Y. Feng United States	11	1.2k 0.9×	322 0.7×	599 1.6×	157 0.6×	138 0.6×	18	1.9k
Lina Baranauskienė Lithuania	21	1.1k 0.8×	423 0.9×	174 0.5×	112 0.5×	73 0.3×	40	1.5k
Andrew C. Braisted United States	14	1.9k 1.4×	699 1.5×	380 1.0×	250 1.0×	341 1.5×	17	2.5k
Joseph W. Becker United States	29	2.2k 1.6×	546 1.2×	230 0.6×	181 0.7×	486 2.1×	37	3.0k

Countries citing papers authored by Alan M. Mathiowetz

Since Specialization

Citations

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

Fields of papers citing papers by Alan M. Mathiowetz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan M. Mathiowetz. 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 Alan M. Mathiowetz. The network helps show where Alan M. Mathiowetz may publish in the future.

Co-authorship network of co-authors of Alan M. Mathiowetz

This figure shows the co-authorship network connecting the top 25 collaborators of Alan M. Mathiowetz. A scholar is included among the top collaborators of Alan M. Mathiowetz 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 Alan M. Mathiowetz. Alan M. Mathiowetz 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

Bonus, Michele, Markus Boehm, Magdalena Korczynska, et al.. (2025). TopCysteineDB: A Cysteinome-wide Database Integrating Structural and Chemoproteomics Data for Cysteine Ligandability Prediction. Journal of Molecular Biology. 437(15). 169196–169196. 2 indexed citations

Aspnes, Gary E., Scott W. Bagley, Steven B. Coffey, et al.. (2023). 6-Azaspiro[2.5]octanes as small molecule agonists of the human glucagon-like peptide-1 receptor. Bioorganic & Medicinal Chemistry Letters. 94. 129454–129454. 4 indexed citations

Baumann, Hannah M., Eric Dybeck, Christopher L. McClendon, et al.. (2023). Broadening the Scope of Binding Free Energy Calculations Using a Separated Topologies Approach. Journal of Chemical Theory and Computation. 19(15). 5058–5076. 23 indexed citations

Brajesh, K., Vishnu Sresht, Qingyi Yang, et al.. (2022). TorsionNet: A Deep Neural Network to Rapidly Predict Small-Molecule Torsional Energy Profiles with the Accuracy of Quantum Mechanics. Journal of Chemical Information and Modeling. 62(4). 785–800. 32 indexed citations

Mathiowetz, Alan M.. (2019). Design Principles for Intestinal Permeability of Cyclic Peptides. Methods in molecular biology. 2001. 1–15. 7 indexed citations

Brajesh, K., Vishnu Sresht, Qingyi Yang, et al.. (2019). Comprehensive Assessment of Torsional Strain in Crystal Structures of Small Molecules and Protein–Ligand Complexes using ab Initio Calculations. Journal of Chemical Information and Modeling. 59(10). 4195–4208. 23 indexed citations

Hoang, Huy N., Kun Song, Timothy A. Hill, et al.. (2015). Short Hydrophobic Peptides with Cyclic Constraints Are Potent Glucagon-like Peptide-1 Receptor (GLP-1R) Agonists. Journal of Medicinal Chemistry. 58(9). 4080–4085. 38 indexed citations

Griffith, David A., Daniel W. Kung, William P. Esler, et al.. (2014). Decreasing the Rate of Metabolic Ketone Reduction in the Discovery of a Clinical Acetyl-CoA Carboxylase Inhibitor for the Treatment of Diabetes. Journal of Medicinal Chemistry. 57(24). 10512–10526. 60 indexed citations

Tu, Meihua, Alan M. Mathiowetz, Jeffrey A. Pfefferkorn, et al.. (2013). Medicinal Chemistry Design Principles for Liver Targeting Through OATP Transporters. Current Topics in Medicinal Chemistry. 13(7). 857–866. 38 indexed citations

10.

Rezai, Taha, Vladimir Gelev, Rushia Turner, et al.. (2011). On-resin N-methylation of cyclic peptides for discovery of orally bioavailable scaffolds. Nature Chemical Biology. 7(11). 810–817. 304 indexed citations

11.

Zhang, Liying, Hongyao Zhu, Alan M. Mathiowetz, & Hua Gao. (2011). Deep understanding of structure–solubility relationship for a diverse set of organic compounds using matched molecular pairs. Bioorganic & Medicinal Chemistry. 19(19). 5763–5770. 17 indexed citations

12.

Bhattacharya, Samit K., Eric Cox, John C. Kath, et al.. (2003). Achieving selectivity between highly homologous tyrosine kinases: a novel selective erbB2 inhibitor. Biochemical and Biophysical Research Communications. 307(2). 267–273. 16 indexed citations

13.

Wright, Stephen W., David Hageman, Lester D. McClure, et al.. (2001). Allosteric inhibition of fructose-1,6-bisphosphatase by anilinoquinazolines. Bioorganic & Medicinal Chemistry Letters. 11(1). 17–21. 34 indexed citations

14.

Rath, Virginia L., Mark Ammirati, Dennis E. Danley, et al.. (2000). Human liver glycogen phosphorylase inhibitors bind at a new allosteric site. Chemistry & Biology. 7(9). 677–682. 109 indexed citations

15.

McCoy, Mark A., Diane M. Schneider, Tracey M. Banks, et al.. (1997). Assignments and structure determination of the catalytic domain of human fibroblast collagenase using 3D double and triple resonance NMR spectroscopy. Journal of Biomolecular NMR. 9(1). 11–24. 6 indexed citations

16.

Evans, John S. O., Sunney I. Chan, Alan M. Mathiowetz, & William A. Goddard. (1995). De novo prediction of polypeptide conformations using dihedral probability grid Monte Carlo methodology. Protein Science. 4(6). 1203–1216. 20 indexed citations

17.

Gowravaram, Madhusudhan, Jeffrey S. Johnson, Ewell R. Cook, et al.. (1995). Inhibition of Matrix Metalloproteinases by Hydroxamates Containing Heteroatom-Based Modifications of the P1' Group. Journal of Medicinal Chemistry. 38(14). 2570–2581. 48 indexed citations

18.

Tomczuk, Bruce E., Madhusudhan Gowravaram, Jeffrey S. Johnson, et al.. (1995). Hydroxamate inhibitors of the matrix metallo-proteinases (MMPs) containing novel P1′ heteroatom based modifications. Bioorganic & Medicinal Chemistry Letters. 5(4). 343–348. 15 indexed citations

19.

Mathiowetz, Alan M., Abhinandan Jain, Naoki Karasawa, & William A. Goddard. (1994). Protein simulations using techniques suitable for very large systems: The cell multipole method for nonbond interactions and the Newton‐Euler inverse mass operator method for internal coordinate dynamics. Proteins Structure Function and Bioinformatics. 20(3). 227–247. 74 indexed citations

20.

Sherman, Mark A., et al.. (1991). Site-directed mutations of arginine 65 at the periphery of the active site cleft of yeast 3-phosphoglycerate kinase enhance the catalytic activity and eliminate anion-dependent activation. Protein Engineering Design and Selection. 4(8). 935–940. 14 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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