Tristan Rawling

1.5k total citations
72 papers, 1.2k citations indexed

About

Tristan Rawling is a scholar working on Molecular Biology, Biochemistry and Cancer Research. According to data from OpenAlex, Tristan Rawling has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 18 papers in Biochemistry and 17 papers in Cancer Research. Recurrent topics in Tristan Rawling's work include Eicosanoids and Hypertension Pharmacology (14 papers), Neuroscience and Neuropharmacology Research (11 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Tristan Rawling is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (14 papers), Neuroscience and Neuropharmacology Research (11 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Tristan Rawling collaborates with scholars based in Australia, United States and United Kingdom. Tristan Rawling's co-authors include Andrew M. McDonagh, Michael T. Murray, Christine Austin, Philip Doble, Dominic J. Hare, Kirsi Bourget, Stephen B. Colbran, Fanfan Zhou, Munikumar Reddy Doddareddy and Mary Bebawy and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Coordination Chemistry Reviews.

In The Last Decade

Tristan Rawling

69 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tristan Rawling Australia 22 432 207 175 143 133 72 1.2k
Xiaohong Pan China 24 614 1.4× 247 1.2× 144 0.8× 201 1.4× 202 1.5× 64 1.6k
Tatsuya Fujino Japan 18 508 1.2× 476 2.3× 51 0.3× 109 0.8× 147 1.1× 65 2.0k
Clinton R. Nishida United States 23 745 1.7× 272 1.3× 121 0.7× 153 1.1× 127 1.0× 31 1.9k
Jing Zhu China 23 379 0.9× 362 1.7× 187 1.1× 144 1.0× 208 1.6× 69 1.3k
Inmaculada Andreu Spain 23 344 0.8× 101 0.5× 64 0.4× 66 0.5× 321 2.4× 84 1.4k
Kenichiro Todoroki Japan 25 787 1.8× 94 0.5× 68 0.4× 155 1.1× 131 1.0× 116 1.7k
Steven G Swarts United States 24 816 1.9× 142 0.7× 113 0.6× 48 0.3× 247 1.9× 78 1.9k
Shalini Andersson Sweden 29 1.1k 2.6× 142 0.7× 135 0.8× 68 0.5× 220 1.7× 68 2.5k
JinJie Jiang United States 23 330 0.8× 220 1.1× 54 0.3× 53 0.4× 128 1.0× 40 1.3k
Christopher A. Evans United States 22 478 1.1× 45 0.2× 162 0.9× 29 0.2× 121 0.9× 48 1.3k

Countries citing papers authored by Tristan Rawling

Since Specialization
Citations

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

Fields of papers citing papers by Tristan Rawling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tristan Rawling. 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 Tristan Rawling. The network helps show where Tristan Rawling may publish in the future.

Co-authorship network of co-authors of Tristan Rawling

This figure shows the co-authorship network connecting the top 25 collaborators of Tristan Rawling. A scholar is included among the top collaborators of Tristan Rawling 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 Tristan Rawling. Tristan Rawling 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.
McNaughton, Daniel A., et al.. (2024). Expanding the π‐system of Fatty Acid‐Anion Transporter Conjugates Modulates Their Mechanism of Proton Transport and Mitochondrial Uncoupling Activity. Chemistry - A European Journal. 30(46). e202400931–e202400931. 4 indexed citations
2.
Wilson, Katie A., et al.. (2024). Amphetamine-like Deferiprone and Clioquinol Derivatives as Iron Chelating Agents. Molecules. 29(17). 4213–4213. 2 indexed citations
3.
Rawling, Tristan, et al.. (2024). The Novel Anticancer Aryl-Ureido Fatty Acid CTU Increases Reactive Oxygen Species Production That Impairs Mitochondrial Fusion Mechanisms and Promotes MDA-MB-231 Cell Death. International Journal of Molecular Sciences. 25(19). 10577–10577. 1 indexed citations
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Rawling, Tristan, et al.. (2023). An update on inflammation in uveal melanoma. Biochimie. 212. 114–122. 8 indexed citations
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Gillis, Alexander, et al.. (2022). Peripheral Administration of Selective Glycine Transporter-2 Inhibitor, Oleoyl-D-Lysine, Reverses Chronic Neuropathic Pain but Not Acute or Inflammatory Pain in Male Mice. Journal of Pharmacology and Experimental Therapeutics. 382(3). 246–255. 4 indexed citations
9.
Bourget, Kirsi, et al.. (2022). Inclusion of the in-chain sulfur in 3-thiaCTU increases the efficiency of mitochondrial targeting and cell killing by anticancer aryl-urea fatty acids. European Journal of Pharmacology. 939. 175470–175470. 3 indexed citations
10.
Wilson, Katie A., et al.. (2021). The allosteric inhibition of glycine transporter 2 by bioactive lipid analgesics is controlled by penetration into a deep lipid cavity. Journal of Biological Chemistry. 296. 100282–100282. 8 indexed citations
11.
Chen, Yongjuan, Md. Khalilur Rahman, Kirsi Bourget, et al.. (2021). PTU, a novel ureido-fatty acid, inhibits MDA-MB-231 cell invasion and dissemination by modulating Wnt5a secretion and cytoskeletal signaling. Biochemical Pharmacology. 192. 114726–114726. 2 indexed citations
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Nair, Pramod C., et al.. (2021). Differential inhibition of human CYP2C8 and molecular docking interactions elicited by sorafenib and its major N-oxide metabolite. Chemico-Biological Interactions. 338. 109401–109401. 8 indexed citations
14.
Rawling, Tristan, et al.. (2020). Identification of N-acyl amino acids that are positive allosteric modulators of glycine receptors. Biochemical Pharmacology. 180. 114117–114117. 9 indexed citations
15.
Ghassabian, Sussan, et al.. (2019). Sorafenib N-Oxide Is an Inhibitor of Human Hepatic CYP3A4. The AAPS Journal. 21(2). 15–15. 10 indexed citations
16.
Bourget, Kirsi, et al.. (2018). Aryl-urea fatty acids that activate the p38 MAP kinase and down-regulate multiple cyclins decrease the viability of MDA-MB-231 breast cancer cells. European Journal of Pharmaceutical Sciences. 129. 87–98. 8 indexed citations
17.
Rawling, Tristan, et al.. (2014). Selective Inhibition of Human Solute Carrier Transporters by Multikinase Inhibitors. Drug Metabolism and Disposition. 42(11). 1851–1857. 56 indexed citations
18.
Ghassabian, Sussan, Tristan Rawling, Fanfan Zhou, et al.. (2012). Role of human CYP3A4 in the biotransformation of sorafenib to its major oxidized metabolites. Biochemical Pharmacology. 84(2). 215–223. 50 indexed citations
19.
Cui, Pei, Tristan Rawling, Kirsi Bourget, et al.. (2012). Antiproliferative and Antimigratory Actions of Synthetic Long Chain n-3 Monounsaturated Fatty Acids in Breast Cancer Cells That Overexpress Cyclooxygenase-2. Journal of Medicinal Chemistry. 55(16). 7163–7172. 26 indexed citations
20.
Rawling, Tristan, et al.. (2008). Convenient Synthesis and Purification of [Bu4N]2[Ru(4-carboxy-4-carboxylate-2,2'-bipyridine)2(NCS)2]: a Landmark DSC Dye. Australian Journal of Chemistry. 61(6). 405–408. 12 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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