Tony D. Davis

669 total citations
23 papers, 457 citations indexed

About

Tony D. Davis is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Tony D. Davis has authored 23 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Pharmacology and 5 papers in Organic Chemistry. Recurrent topics in Tony D. Davis's work include Microbial Natural Products and Biosynthesis (9 papers), Chemical Synthesis and Analysis (8 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Tony D. Davis is often cited by papers focused on Microbial Natural Products and Biosynthesis (9 papers), Chemical Synthesis and Analysis (8 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Tony D. Davis collaborates with scholars based in United States, Japan and Australia. Tony D. Davis's co-authors include Michael D. Burkart, Derek S. Tan, Christopher J. Gerry, M. Jaremko, Ashay Patel, J. Andrew McCammon, Jeffrey T. Mindrebo, Joseph P. Noel, Luis E. N. Quadri and Yohei Katsuyama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Tony D. Davis

21 papers receiving 448 citations

Peers

Countries citing papers authored by Tony D. Davis

Since Specialization

Citations

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

Fields of papers citing papers by Tony D. Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony D. Davis. 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 Tony D. Davis. The network helps show where Tony D. Davis may publish in the future.

Co-authorship network of co-authors of Tony D. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Tony D. Davis. A scholar is included among the top collaborators of Tony D. Davis 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 Tony D. Davis. Tony D. Davis 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

#	Work	Indexed citations
1	α-Amylase-Mediated Antibiotic Degradation and Sequestration in Pseudomonas aeruginosa Biofilm Therapy 2025 ·Antibiotics ·Robert W. Murray, (unknown), (unknown), (unknown), Tony D. Davis, Whitni K. Redman	0
2	Visualizing the Interface of Biotin and Fatty Acid Biosynthesis through SuFEx Probes 2024 ·Journal of the American Chemical Society ·(unknown), (unknown), Tony D. Davis, (unknown), (unknown), Sitong Wu, James J. La Clair, Gordon V. Louie, M.E. Bowman, David J. Clarke, C. Logan Mackay, Dominic J. Campopiano, Joseph P. Noel, Michael D. Burkart	7
3	Chronic ethanol induces a pro-inflammatory switch in interleukin-1β regulation of GABAergic signaling in the medial prefrontal cortex of male mice 2023 ·Brain Behavior and Immunity ·Florence P. Varodayan, (unknown), Tony D. Davis, Pauravi J. Gandhi, Michal Bajo, Michael Q. Steinman, William B. Kiosses, Yuri A. Blednov, Michael D. Burkart, Scott Edwards, Amanda J. Roberts, Marisa Roberto	22
4	Mechanism-based cross-linking probes capture the Escherichia coli ketosynthase FabB in conformationally distinct catalytic states 2022 ·Acta Crystallographica Section D Structural Biology ·(unknown), Jeffrey T. Mindrebo, Tony D. Davis, (unknown), Yohei Katsuyama, (unknown), Yasuo Ohnishi, Joseph P. Noel, Michael D. Burkart	5
5	Control of Unsaturation in De Novo Fatty Acid Biosynthesis by FabA 2022 ·Biochemistry ·(unknown), Terra Sztain, (unknown), D. John Lee, Tony D. Davis, Ruben Abagyan, Michael D. Burkart	1
6	Essential Role of Loop Dynamics in Type II NRPS Biomolecular Recognition 2022 ·ACS Chemical Biology ·(unknown), Ashay Patel, Tony D. Davis, Larissa M. Podust, J. Andrew McCammon, Michael D. Burkart	5
7	Protein–protein interaction based substrate control in the E. coli octanoic acid transferase, LipB 2021 ·RSC Chemical Biology ·(unknown), Terra Sztain, (unknown), Tony D. Davis, Ruben Abagyan, Michael D. Burkart	5
8	Structure and Mechanistic Analyses of the Gating Mechanism of Elongating Ketosynthases 2021 ·ACS Catalysis ·Jeffrey T. Mindrebo, (unknown), (unknown), (unknown), Tony D. Davis, Joseph P. Noel, Michael D. Burkart	16
9	Structural basis for selectivity in a highly reducing type II polyketide synthase 2020 ·Nature Chemical Biology ·(unknown), Yohei Katsuyama, (unknown), Shinya Fushinobu, (unknown), Tony D. Davis, Michael D. Burkart, Yasuo Ohnishi	42
10	Gating mechanism of elongating β-ketoacyl-ACP synthases 2020 ·Nature Communications ·Jeffrey T. Mindrebo, Ashay Patel, (unknown), Tony D. Davis, (unknown), (unknown), James J. La Clair, J. Andrew McCammon, Joseph P. Noel, Michael D. Burkart	51
11	Dynamic visualization of type II peptidyl carrier protein recognition in pyoluteorin biosynthesis 2020 ·RSC Chemical Biology ·(unknown), Larissa M. Podust, Tony D. Davis, M. Jaremko, Michael D. Burkart	17
12	605 Euglycaemic Diabetic Ketoacidosis Complicating Cardiac Surgery 2020 ·Heart Lung and Circulation ·Michael McCann, Aoife O’Brien, Robert Larbalestier, Tony D. Davis	0
13	Screening and characterization of polyhydroxyalkanoate granules, and phylogenetic analysis of polyhydroxyalkanoate synthase gene PhaC in cyanobacteria 2020 ·Journal of Phycology ·(unknown), Joris Beld, Tony D. Davis, Michael D. Burkart, Brian Palenik	3
14	Modifying the Thioester Linkage Affects the Structure of the Acyl Carrier Protein 2019 ·Angewandte Chemie ·Terra Sztain, Ashay Patel, D. John Lee, Tony D. Davis, J. Andrew McCammon, Michael D. Burkart	3
15	Role of MyD88 in IL-1β and Ethanol Modulation of GABAergic Transmission in the Central Amygdala 2019 ·Brain Sciences ·Michal Bajo, Reesha R. Patel, David M. Hedges, Florence P. Varodayan, Roman Vlkolinský, Tony D. Davis, Michael D. Burkart, Yuri A. Blednov, Marisa Roberto	15
16	Type II non-ribosomal peptide synthetase proteins: structure, mechanism, and protein–protein interactions 2019 ·Natural Product Reports ·M. Jaremko, Tony D. Davis, (unknown), Michael D. Burkart	50
17	Preparation, Assay, and Application of Chlorinase SalL for the Chemoenzymatic Synthesis of S-Adenosyl-l-Methionine and Analogs 2018 ·Methods in enzymology on CD-ROM/Methods in enzymology ·Tony D. Davis, (unknown), Michael D. Burkart, Alessandra S. Eustáquio	10
18	Design, synthesis, and biological evaluation of α-hydroxyacyl-AMS inhibitors of amino acid adenylation enzymes 2016 ·Bioorganic & Medicinal Chemistry Letters ·Tony D. Davis, (unknown), (unknown), (unknown), Luis E. N. Quadri, Derek S. Tan	9
19	General Platform for Systematic Quantitative Evaluation of Small-Molecule Permeability in Bacteria 2014 ·ACS Chemical Biology ·Tony D. Davis, Christopher J. Gerry, Derek S. Tan	108
20	Pharmacokinetic and In Vivo Efficacy Studies of the Mycobactin Biosynthesis Inhibitor Salicyl-AMS in Mice 2013 ·Antimicrobial Agents and Chemotherapy ·Shichun Lun, Haidan Guo, John Adamson, Justin S. Cisar, Tony D. Davis, Sivagami Sundaram Chavadi, J. David Warren, Luis E. N. Quadri, Derek S. Tan, William R. Bishai	43

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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