Thomas D. Bannister

3.7k total citations · 1 hit paper
78 papers, 2.4k citations indexed

About

Thomas D. Bannister is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas D. Bannister has authored 78 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 28 papers in Organic Chemistry and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas D. Bannister's work include Receptor Mechanisms and Signaling (14 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Neuropeptides and Animal Physiology (8 papers). Thomas D. Bannister is often cited by papers focused on Receptor Mechanisms and Signaling (14 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Neuropeptides and Animal Physiology (8 papers). Thomas D. Bannister collaborates with scholars based in United States, Germany and Australia. Thomas D. Bannister's co-authors include Michael D. Cameron, William Roush, Nicole Kennedy, Cullen L. Schmid, Laura Bohn, Zhizhou Yue, Nicolette C. Ross, Kimberly M. Lovell, Michael Wendt and Jenny Morgenweck and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Thomas D. Bannister

77 papers receiving 2.4k citations

Hit Papers

Bias Factor and Therapeutic Window Correlate to Predict S... 2017 2026 2020 2023 2017 100 200 300

Peers

Thomas D. Bannister
Na Ye China
Werner J. Geldenhuys United States
Sung Bae Lee South Korea
Carlos Davio Argentina
Samarjit Patnaik United States
Magid Abou‐Gharbia United States
Na Ye China
Thomas D. Bannister
Citations per year, relative to Thomas D. Bannister Thomas D. Bannister (= 1×) peers Na Ye

Countries citing papers authored by Thomas D. Bannister

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. Bannister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas D. Bannister

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas D. Bannister. A scholar is included among the top collaborators of Thomas D. Bannister 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 Thomas D. Bannister. Thomas D. Bannister 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.
Pol, Christine J., Ioannis D. Kyriazis, Matthew Hoffman, et al.. (2025). Cardiac ischaemia/reperfusion in pigs and mice increases cardiomyocyte Krüppel-like factor 5 that aggravates tissue injury and remodelling. Cardiovascular Research. 121(6). 900–914. 1 indexed citations
2.
Selsted, Michael E., et al.. (2024). An ADAM10 Exosite Inhibitor Is Efficacious in an In Vivo Collagen-Induced Arthritis Model. Pharmaceuticals. 17(1). 87–87. 1 indexed citations
3.
Otsuka, Yuka, Eunjung Kim, Chao Wang, et al.. (2024). High throughput screening for SARS-CoV-2 helicase inhibitors. SLAS DISCOVERY. 29(6). 100180–100180. 3 indexed citations
4.
Moghadasi, Seyed Arad, Yuka Otsuka, Christina B. Cooley, et al.. (2024). SARS-CoV-2 Mpro inhibitor identification using a cellular gain-of-signal assay for high-throughput screening. SLAS DISCOVERY. 29(6). 100181–100181. 2 indexed citations
5.
Smith, Emery, Meredith E. Davis-Gardner, Rubén D. Garcia-Ordoñez, et al.. (2023). High throughput screening for drugs that inhibit 3C-like protease in SARS-CoV-2. SLAS DISCOVERY. 28(3). 95–101. 13 indexed citations
6.
Coant, Nicolas, John D. Bickel, Ronald J. Rahaim, et al.. (2023). Neutral ceramidase-active site inhibitor chemotypes and binding modes. Bioorganic Chemistry. 139. 106747–106747. 1 indexed citations
7.
Primi, Marina Candido, Claudia Ruiz, Thales Kronenberger, et al.. (2023). HDAC specificity and kinase off-targeting by purine-benzohydroxamate anti-hematological tumor agents. European Journal of Medicinal Chemistry. 263. 115935–115935. 4 indexed citations
8.
Hoffman, Matthew, Ioannis D. Kyriazis, Maria Cimini, et al.. (2021). Cardiomyocyte Krüppel-Like Factor 5 Promotes De Novo Ceramide Biosynthesis and Contributes to Eccentric Remodeling in Ischemic Cardiomyopathy. Circulation. 143(11). 1139–1156. 39 indexed citations
9.
Kyriazis, Ioannis D., Matthew Hoffman, Anna Maria Lucchese, et al.. (2020). KLF5 Is Induced by FOXO1 and Causes Oxidative Stress and Diabetic Cardiomyopathy. Circulation Research. 128(3). 335–357. 107 indexed citations
10.
Mediouni, Sonia, Joseph Jablonski, Cari F. Kessing, et al.. (2020). Oregano Oil and Its Principal Component, Carvacrol, Inhibit HIV-1 Fusion into Target Cells. Journal of Virology. 94(15). 45 indexed citations
11.
Grim, Travis W., Cullen L. Schmid, Nicole Kennedy, et al.. (2020). Comparison of morphine, oxycodone and the biased MOR agonist SR-17018 for tolerance and efficacy in mouse models of pain. Neuropharmacology. 185. 108439–108439. 20 indexed citations
12.
Prabhu, Antony, Kristen E.N. Scott, Paul A. Stewart, et al.. (2020). A22 Integrated Proteometabolomic Analysis Reveals Metabolic Vulnerabilities in Small-Cell Lung Cancer. Journal of Thoracic Oncology. 15(2). S19–S19. 1 indexed citations
13.
Smith, Emery, Jo Ann Janovick, Thomas D. Bannister, et al.. (2020). Rescue of mutant gonadotropin-releasing hormone receptor function independent of cognate receptor activity. Scientific Reports. 10(1). 10579–10579. 7 indexed citations
14.
Wang, Chao, et al.. (2019). The Novel Small-Molecule SR18662 Efficiently Inhibits the Growth of Colorectal Cancer In Vitro and In Vivo. Molecular Cancer Therapeutics. 18(11). 1973–1984. 10 indexed citations
15.
Nieto, Ainhoa, Virneliz Fernández-Vega, Timothy Spicer, et al.. (2018). Identification of Novel, Structurally Diverse, Small Molecule Modulators of GPR119. Assay and Drug Development Technologies. 16(5). 278–288. 5 indexed citations
16.
Wang, Chao, Yuanjun He, Mónica Garcı́a-Barros, et al.. (2015). ML264, A Novel Small-Molecule Compound That Potently Inhibits Growth of Colorectal Cancer. Molecular Cancer Therapeutics. 15(1). 72–83. 53 indexed citations
17.
Buckner, Frederick S., Ranae M. Ranade, Franck Madoux, et al.. (2014). Identification of Potent Inhibitors of the Trypanosoma brucei Methionyl-tRNA Synthetase via High-Throughput Orthogonal Screening. SLAS DISCOVERY. 20(1). 122–130. 32 indexed citations
18.
Andero, Raül, Shaun P. Brothers, Tanja Jovanović, et al.. (2013). Amygdala-Dependent Fear Is Regulated by Oprl1 in Mice and Humans with PTSD. Science Translational Medicine. 5(188). 188ra73–188ra73. 118 indexed citations
19.
Bialkowska, Agnieszka B., Melissa Crisp, Thomas D. Bannister, et al.. (2011). Identification of Small-Molecule Inhibitors of the Colorectal Cancer Oncogene Krüppel-like Factor 5 Expression by Ultrahigh-Throughput Screening. Molecular Cancer Therapeutics. 10(11). 2043–2051. 37 indexed citations
20.
Shirodaria, Cheerag, Colin Cunnington, Ilias Kylintireas, et al.. (2008). High Dose Modified-release Nicotinic Acid Reduces Carotid Atherosclerosis: a Randomized, Placebo-controlled Magnetic Resonance Study. Circulation. 118. 2 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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