James Donkin

1.4k total citations
16 papers, 1.1k citations indexed

About

James Donkin is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, James Donkin has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in James Donkin's work include Cholesterol and Lipid Metabolism (7 papers), Drug Transport and Resistance Mechanisms (7 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). James Donkin is often cited by papers focused on Cholesterol and Lipid Metabolism (7 papers), Drug Transport and Resistance Mechanisms (7 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). James Donkin collaborates with scholars based in Australia, Canada and United States. James Donkin's co-authors include Robert Vink, Cheryl L. Wellington, Jianjia Fan, Ibolja Černak, Peter Blumbergs, Anna Wilkinson, Sophie Stukas, Alan Nimmo, Veronica Hirsch‐Reinshagen and Jeniffer Chan and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

James Donkin

16 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
James Donkin 453 385 278 251 219 16 1.1k
Anna Wilkinson 420 0.9× 351 0.9× 328 1.2× 318 1.3× 154 0.7× 23 1.1k
Dong-In Sinn 512 1.1× 338 0.9× 234 0.8× 298 1.2× 228 1.0× 21 1.5k
Jianjia Fan 545 1.2× 211 0.5× 489 1.8× 441 1.8× 232 1.1× 25 1.3k
Yasuaki Nishimura 606 1.3× 314 0.8× 113 0.4× 135 0.5× 130 0.6× 56 1.4k
Dhananjay Namjoshi 251 0.6× 409 1.1× 128 0.5× 150 0.6× 116 0.5× 13 802
Nobutoshi Morimoto 564 1.2× 722 1.9× 115 0.4× 325 1.3× 256 1.2× 67 1.7k
Yasuhisa Kanematsu 461 1.0× 662 1.7× 211 0.8× 277 1.1× 68 0.3× 86 1.8k
Devin W. McBride 514 1.1× 552 1.4× 111 0.4× 151 0.6× 208 0.9× 75 1.5k
Hiroji Yanamoto 358 0.8× 414 1.1× 101 0.4× 157 0.6× 356 1.6× 45 1.5k
Zhiyuan Zeng 554 1.2× 134 0.3× 136 0.5× 186 0.7× 232 1.1× 12 1.4k

Countries citing papers authored by James Donkin

Since Specialization
Citations

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

Fields of papers citing papers by James Donkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Donkin

This figure shows the co-authorship network connecting the top 25 collaborators of James Donkin. A scholar is included among the top collaborators of James Donkin 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 James Donkin. James Donkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Byard, Roger W., James Donkin, & Robert Vink. (2017). The Forensic Implications of Amphetamine Intoxication in Cases of Inflicted Blunt Craniocerebral Trauma. Journal of Forensic Sciences. 63(1). 151–153. 5 indexed citations
2.
Namjoshi, Dhananjay, James Donkin, Anna Wilkinson, et al.. (2013). The Liver X Receptor Agonist GW3965 Improves Recovery from Mild Repetitive Traumatic Brain Injury in Mice Partly through Apolipoprotein E. PLoS ONE. 8(1). e53529–e53529. 46 indexed citations
3.
Stukas, Sophie, et al.. (2011). The LXR agonist GW3965 increases apoA-I protein levels in the central nervous system independent of ABCA1. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1821(3). 536–546. 19 indexed citations
4.
Donkin, James, Sophie Stukas, Veronica Hirsch‐Reinshagen, et al.. (2010). ATP-binding Cassette Transporter A1 Mediates the Beneficial Effects of the Liver X Receptor Agonist GW3965 on Object Recognition Memory and Amyloid Burden in Amyloid Precursor Protein/Presenilin 1 Mice*. Journal of Biological Chemistry. 285(44). 34144–34154. 167 indexed citations
5.
Donkin, James & Robert Vink. (2010). Mechanisms of cerebral edema in traumatic brain injury: therapeutic developments. Current Opinion in Neurology. 23(3). 293–299. 285 indexed citations
6.
Donkin, James, Ibolja Černak, Peter Blumbergs, & Robert Vink. (2010). A Substance P Antagonist Reduces Axonal Injury and Improves Neurologic Outcome When Administered Up to 12 Hours after Traumatic Brain Injury. Journal of Neurotrauma. 28(2). 217–224. 50 indexed citations
7.
Fan, Jianjia, James Donkin, & Cheryl L. Wellington. (2009). Greasing the wheels of Aβ clearance in Alzheimer's Disease: The role of lipids and apolipoprotein E. BioFactors. 35(3). 239–248. 81 indexed citations
8.
Donkin, James, Alan Nimmo, Ibolja Černak, Peter Blumbergs, & Robert Vink. (2009). Substance P is Associated with the Development of Brain Edema and Functional Deficits after Traumatic Brain Injury. Journal of Cerebral Blood Flow & Metabolism. 29(8). 1388–1398. 121 indexed citations
9.
Burgess, Braydon L., Margaret M. Racke, Veronica Hirsch‐Reinshagen, et al.. (2008). ABCG1 influences the brain cholesterol biosynthetic pathway but does not affect amyloid precursor protein or apolipoprotein E metabolism in vivo. Journal of Lipid Research. 49(6). 1254–1267. 52 indexed citations
10.
Cook, Naomi, Robert Vink, James Donkin, & Corinna van den Heuvel. (2008). Validation of reference genes for normalization of real‐time quantitative RT‐PCR data in traumatic brain injury. Journal of Neuroscience Research. 87(1). 34–41. 48 indexed citations
11.
Hirsch‐Reinshagen, Veronica, James Donkin, Sophie Stukas, et al.. (2008). LCAT synthesized by primary astrocytes esterifies cholesterol on glia-derived lipoproteins. Journal of Lipid Research. 50(5). 885–893. 53 indexed citations
12.
Burgess, Braydon L., Kathryn E. Naus, Jeniffer Chan, et al.. (2008). Overexpression of Human ABCG1 Does Not Affect Atherosclerosis in Fat-Fed ApoE-Deficient Mice. Arteriosclerosis Thrombosis and Vascular Biology. 28(10). 1731–1737. 41 indexed citations
13.
Donkin, James, et al.. (2007). Substance P in traumatic brain injury. Progress in brain research. 161. 97–109. 62 indexed citations
14.
Vink, Robert, James Donkin, M. Idalia Cruz, Alan Nimmo, & Ibolja Černak. (2004). A Substance P Antagonist Increases Brain Intracellular Free Magnesium Concentration after Diffuse Traumatic Brain Injury in Rats. Journal of the American College of Nutrition. 23(5). 538S–540S. 32 indexed citations
15.
Heuvel, Corinna van den, James Donkin, John Finnie, et al.. (2004). Downregulation of Amyloid Precursor Protein (APP) Expression following Post-Traumatic Cyclosporin-A Administration. Journal of Neurotrauma. 21(11). 1562–1572. 19 indexed citations
16.
Heuvel, Corinna van den, James Donkin, John Finnie, et al.. (2004). Downregulation of Amyloid Precursor Protein (APP) Expression following Post-Traumatic Cyclosporin-A Administration. Journal of Neurotrauma. 21(11). 1562–1572. 23 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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