Thomas A. Dix

4.0k total citations
71 papers, 3.2k citations indexed

About

Thomas A. Dix is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Thomas A. Dix has authored 71 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 23 papers in Cellular and Molecular Neuroscience and 17 papers in Organic Chemistry. Recurrent topics in Thomas A. Dix's work include Neuropeptides and Animal Physiology (23 papers), Chemical Synthesis and Analysis (21 papers) and Receptor Mechanisms and Signaling (16 papers). Thomas A. Dix is often cited by papers focused on Neuropeptides and Animal Physiology (23 papers), Chemical Synthesis and Analysis (21 papers) and Receptor Mechanisms and Signaling (16 papers). Thomas A. Dix collaborates with scholars based in United States, France and China. Thomas A. Dix's co-authors include Mary Helen Barcellos‐Hoff, Lawrence J. Marnett, John Aikens, A. Richard Chamberlin, Jenny Bain, Edward S. Diala, Ling Wei, Charles Glabe, Shan Ping Yu and Stephen J. Benkovic and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Thomas A. Dix

71 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas A. Dix United States 30 1.6k 554 480 329 267 71 3.2k
Keri L.H. Carpenter United Kingdom 43 1.8k 1.1× 160 0.3× 429 0.9× 265 0.8× 129 0.5× 113 5.3k
Susan R. Doctrow United States 40 2.6k 1.6× 446 0.8× 587 1.2× 1.0k 3.2× 699 2.6× 67 5.9k
Dimitri A. Svistunenko United Kingdom 39 3.4k 2.1× 242 0.4× 234 0.5× 765 2.3× 152 0.6× 114 5.9k
Cinzia Domenicotti Italy 33 2.3k 1.4× 310 0.6× 169 0.4× 574 1.7× 368 1.4× 106 4.1k
Andrey V. Kozlov Austria 40 2.2k 1.3× 253 0.5× 199 0.4× 1.4k 4.4× 235 0.9× 160 5.1k
Didier Morin France 38 2.5k 1.5× 182 0.3× 484 1.0× 474 1.4× 250 0.9× 160 4.7k
Carolyn M. Porteous New Zealand 22 2.7k 1.7× 264 0.5× 232 0.5× 721 2.2× 121 0.5× 24 4.0k
William B. Weglicki United States 43 1.6k 1.0× 443 0.8× 276 0.6× 1.2k 3.8× 219 0.8× 179 6.1k
Ursula Rauen Germany 40 1.3k 0.8× 101 0.2× 185 0.4× 469 1.4× 191 0.7× 145 5.4k
Mushtaq Ahmad United States 20 1.3k 0.8× 341 0.6× 154 0.3× 421 1.3× 298 1.1× 67 3.3k

Countries citing papers authored by Thomas A. Dix

Since Specialization
Citations

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

Fields of papers citing papers by Thomas A. Dix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas A. Dix

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas A. Dix. A scholar is included among the top collaborators of Thomas A. Dix 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 A. Dix. Thomas A. Dix 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.
Dix, Thomas A., et al.. (2020). The C-C Chemokine Receptor Type 4 Is an Immunomodulatory Target of Hydroxychloroquine. Frontiers in Pharmacology. 11. 1253–1253. 7 indexed citations
2.
Zhao, Yingying, Zheng Wei, Jin Hwan Lee, et al.. (2019). Pharmacological hypothermia induced neurovascular protection after severe stroke of transient middle cerebral artery occlusion in mice. Experimental Neurology. 325. 113133–113133. 21 indexed citations
3.
Reichel, Carmela M., et al.. (2019). Non-addictive orally-active kappa opioid agonists for the treatment of peripheral pain in rats. European Journal of Pharmacology. 856. 172396–172396. 29 indexed citations
4.
Wang, Silun, Xiaohuan Gu, Ramesh Paudyal, et al.. (2017). Longitudinal MRI evaluation of neuroprotective effects of pharmacologically induced hypothermia in experimental ischemic stroke. Magnetic Resonance Imaging. 40. 24–30. 7 indexed citations
5.
Hughes, Francis M., Brooke E. Shaner, Justin O. Brower, R. Jeremy Woods, & Thomas A. Dix. (2013). Development of a Peptide-Derived Orally-Active Kappa-Opioid Receptor Agonist Targeting Peripheral Pain. PubMed. 7(1). 16–22. 26 indexed citations
6.
Wei, Shipeng, Jian Sun, Jie Li, et al.. (2013). Acute and delayed protective effects of pharmacologically induced hypothermia in an intracerebral hemorrhage stroke model of mice. Neuroscience. 252. 489–500. 44 indexed citations
7.
8.
Hadden, M. Kyle, et al.. (2005). In vivo behavioral effects of stable, receptor-selective neurotensin[8?13] analogues that cross the blood?brain barrier. Neuropharmacology. 48(3). 417–425. 23 indexed citations
9.
10.
11.
Lundquist, Joseph T., E.E. Büllesbach, Pamela L. Golden, & Thomas A. Dix. (2002). Topography of the neurotensin (NT)(8−9) binding site of human NT receptor‐1 probed with NT(8–13) analogs. Journal of Peptide Research. 59(2). 55–61. 8 indexed citations
12.
Kennedy, Kevin J., et al.. (2002). Synthesis and analysis of potent, more lipophilic derivatives of the bradykinin B2 receptor antagonist peptide Hoe 140. Journal of Peptide Research. 59(4). 139–148. 6 indexed citations
13.
Lundquist, Joseph T., Erika E. Büllesbach, & Thomas A. Dix. (2000). Synthesis of neurotensin(9–13) analogues exhibiting enhanced human neurotensin receptor binding affinities. Bioorganic & Medicinal Chemistry Letters. 10(5). 453–455. 6 indexed citations
14.
Kennedy, Kevin J., et al.. (2000). Design rationale, synthesis, and characterization of
non‐natural analogs of the cationic amino acids arginine and lysine. Journal of Peptide Research. 55(4). 348–358. 24 indexed citations
15.
Lundquist, Joseph T. & Thomas A. Dix. (1999). Preparation and receptor binding affinities of cyclic C-terminal neurotensin (8–13) and (9–13) analogues. Bioorganic & Medicinal Chemistry Letters. 9(17). 2579–2582. 23 indexed citations
16.
Barcellos‐Hoff, Mary Helen & Thomas A. Dix. (1996). Redox-mediated activation of latent transforming growth factor-beta 1.. Molecular Endocrinology. 10(9). 1077–1083. 462 indexed citations
17.
Aikens, John & Thomas A. Dix. (1993). Hydrodioxyl (Perhydroxyl), Peroxyl, and Hydroxyl Radical-Initiated Lipid Peroxidation of Large Unilamellar Vesicles (Liposomes): Comparative and Mechanistic Studies. Archives of Biochemistry and Biophysics. 305(2). 516–525. 52 indexed citations
18.
Aikens, John & Thomas A. Dix. (1992). Effect of solution ionic strength on lipid peroxidation initiation by the perhydroxyl (xanthine oxidase-derived) and peroxyl radicals. Chemical Research in Toxicology. 5(2). 263–267. 10 indexed citations
19.
Dix, Thomas A., et al.. (1992). Evaluation of N-hydroxy-2-thiopyridone as a nonmetal dependent source of the hydroxyl radical (HO·) in aqueous systems. Analytical Biochemistry. 206(2). 309–314. 33 indexed citations
20.
Dix, Thomas A., Donald M. Kuhn, & Stephen J. Benkovic. (1987). Mechanism of oxygen activation by tyrosine hydroxylase. Biochemistry. 26(12). 3354–3361. 68 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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