John C. Hackett

2.1k total citations
39 papers, 1.7k citations indexed

About

John C. Hackett is a scholar working on Pharmacology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, John C. Hackett has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pharmacology, 12 papers in Molecular Biology and 9 papers in Organic Chemistry. Recurrent topics in John C. Hackett's work include Pharmacogenetics and Drug Metabolism (13 papers), Estrogen and related hormone effects (9 papers) and Metal-Catalyzed Oxygenation Mechanisms (7 papers). John C. Hackett is often cited by papers focused on Pharmacogenetics and Drug Metabolism (13 papers), Estrogen and related hormone effects (9 papers) and Metal-Catalyzed Oxygenation Mechanisms (7 papers). John C. Hackett collaborates with scholars based in United States, Poland and Italy. John C. Hackett's co-authors include Robert W. Brueggemeier, Edgar S. Díaz‐Cruz, Christopher M. Hadad, Kakali Sen, Terry L. Gustafson, Gotard Burdziński, Matthew S. Platz, Young Woo Kim, Justin E. Elenewski and Jin Wang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The Journal of Chemical Physics.

In The Last Decade

John C. Hackett

36 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John C. Hackett 582 457 362 294 239 39 1.7k
Lewis D. Pennington 1.4k 2.4× 741 1.6× 185 0.5× 88 0.3× 110 0.5× 26 2.4k
Eric S. Manas 782 1.3× 796 1.7× 573 1.6× 39 0.1× 298 1.2× 39 2.3k
Raymond McCague 678 1.2× 625 1.4× 527 1.5× 269 0.9× 78 0.3× 75 1.7k
K. Darrell Berlin 1.5k 2.6× 950 2.1× 184 0.5× 96 0.3× 190 0.8× 268 2.8k
Lina Ding 654 1.1× 947 2.1× 48 0.1× 50 0.2× 405 1.7× 56 2.4k
M. Vandewalle 1.6k 2.7× 833 1.8× 309 0.9× 112 0.4× 67 0.3× 183 2.8k
Richard Lonsdale 780 1.3× 1.6k 3.5× 43 0.1× 517 1.8× 314 1.3× 39 2.6k
Eugene A. Mash 875 1.5× 1.0k 2.2× 38 0.1× 86 0.3× 275 1.2× 126 2.6k
Nicholas C. O. Tomkinson 2.0k 3.4× 1.3k 2.8× 171 0.5× 358 1.2× 172 0.7× 130 3.7k
Philip A. MacFaul 595 1.0× 403 0.9× 45 0.1× 50 0.2× 476 2.0× 39 1.5k

Countries citing papers authored by John C. Hackett

Since Specialization
Citations

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

Fields of papers citing papers by John C. Hackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Hackett. 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 John C. Hackett. The network helps show where John C. Hackett may publish in the future.

Co-authorship network of co-authors of John C. Hackett

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Hackett. A scholar is included among the top collaborators of John C. Hackett 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 John C. Hackett. John C. Hackett 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.
2.
Hackett, John C., et al.. (2024). Small angle scattering reveals the orientation of cytochrome P450 19A1 in lipoprotein nanodiscs. Journal of Inorganic Biochemistry. 257. 112579–112579.
3.
Stokowa‐Sołtys, Kamila, et al.. (2023). Induced Fit Describes Ligand Binding to Membrane-Associated Cytochrome P450 3A4. Molecular Pharmacology. 104(4). 154–163. 2 indexed citations
4.
Nath, Abhinav, et al.. (2023). Low molecular weight ligands bind to CYP3A4 via a branched induced fit mechanism: Implications for O2 binding. Archives of Biochemistry and Biophysics. 739. 109582–109582.
5.
Hackett, John C., et al.. (2023). Nanodisc-embedded cytochrome P450 P3A4 binds diverse ligands by distributing conformational dynamics to its flexible elements. Journal of Inorganic Biochemistry. 244. 112211–112211. 8 indexed citations
6.
Hackett, John C.. (2018). Membrane-embedded substrate recognition by cytochrome P450 3A4. Journal of Biological Chemistry. 293(11). 4037–4046. 38 indexed citations
7.
Hsu, Mei‐Hui, et al.. (2018). Noncovalent interactions dominate dynamic heme distortion in cytochrome P450 4B1. Journal of Biological Chemistry. 293(29). 11433–11446. 19 indexed citations
8.
Velázquez-Fernández, Jesús Bernardino, et al.. (2018). Biophysical characterization of Aptenodytes forsteri cytochrome P450 aromatase. Journal of Inorganic Biochemistry. 184. 79–87. 3 indexed citations
9.
Zuo, Ran, Yi Zhang, Chao Jiang, et al.. (2017). Engineered P450 biocatalysts show improved activity and regio-promiscuity in aromatic nitration. Scientific Reports. 7(1). 842–842. 37 indexed citations
10.
Shock, Lisa S., et al.. (2016). N-Heterocyclic Carbene Capture by Cytochrome P450 3A4. Molecular Pharmacology. 90(1). 42–51. 8 indexed citations
11.
Modi, Anuja, et al.. (2014). Spin equilibrium and O2-binding kinetics of Mycobacterium tuberculosis CYP51 with mutations in the histidine–threonine dyad. Journal of Inorganic Biochemistry. 136. 81–91. 6 indexed citations
12.
Nardo, Giovanna Di, et al.. (2014). Evidence for an Elevated Aspartate pK in the Active Site of Human Aromatase. Journal of Biological Chemistry. 290(2). 1186–1196. 57 indexed citations
13.
Elenewski, Justin E. & John C. Hackett. (2013). Cytochrome P450 compound I in the plane wave pseudopotential framework: GGA electronic and geometric structure of thiolate‐ligated iron(IV)–oxo porphyrin. Journal of Computational Chemistry. 34(19). 1647–1660. 3 indexed citations
14.
Elenewski, Justin E. & John C. Hackett. (2013). Solvatochromism and the solvation structure of benzophenone. The Journal of Chemical Physics. 138(22). 224308–224308. 9 indexed citations
15.
Hackett, John C., et al.. (2011). Tetrahydrofolate Recognition by the Mitochondrial Folate Transporter. Journal of Biological Chemistry. 286(36). 31480–31489. 36 indexed citations
16.
Hackett, John C.. (2010). Chemical Reactivity Theory: A Density Functional View. Journal of the American Chemical Society. 132(21). 7558–7558. 243 indexed citations
17.
Hackett, John C., Zili Xiao, Xiaoping Zang, et al.. (2008). Development of keratinocyte growth factor receptor tyrosine kinase inhibitors for the treatment of cancer.. PubMed. 27(6B). 3801–6. 10 indexed citations
18.
Su, Bin, John C. Hackett, Edgar S. Díaz‐Cruz, Young Woo Kim, & Robert W. Brueggemeier. (2005). Lead optimization of 7-benzyloxy 2-(4′-pyridylmethyl)thio isoflavone aromatase inhibitors. Bioorganic & Medicinal Chemistry. 13(23). 6571–6577. 18 indexed citations
19.
Hackett, John C., Young‐Woo Kim, Bin Su, & Robert W. Brueggemeier. (2005). Synthesis and characterization of azole isoflavone inhibitors of aromatase. Bioorganic & Medicinal Chemistry. 13(12). 4063–4070. 33 indexed citations
20.
Brueggemeier, Robert W., John C. Hackett, & Edgar S. Díaz‐Cruz. (2005). Aromatase Inhibitors in the Treatment of Breast Cancer. Endocrine Reviews. 26(3). 331–345. 389 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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