Colette Griffin

1.9k total citations
23 papers, 1.5k citations indexed

About

Colette Griffin is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Colette Griffin has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Neurology. Recurrent topics in Colette Griffin's work include Multiple Sclerosis Research Studies (12 papers), RNA regulation and disease (4 papers) and Traumatic Brain Injury Research (4 papers). Colette Griffin is often cited by papers focused on Multiple Sclerosis Research Studies (12 papers), RNA regulation and disease (4 papers) and Traumatic Brain Injury Research (4 papers). Colette Griffin collaborates with scholars based in United Kingdom, United States and France. Colette Griffin's co-authors include Alan J. Thompson, David H. Miller, Declan Chard, Geoff J.M. Parker, Gareth J. Barker, Ravish Kapoor, Waqar Rashid, Olga Ciccarelli, Daniel R. Altmann and David J. Werring and has published in prestigious journals such as Brain, Neurology and Medical Physics.

In The Last Decade

Colette Griffin

23 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colette Griffin United Kingdom 17 1.1k 570 381 364 203 23 1.5k
Waqar Rashid United Kingdom 23 1.1k 1.0× 639 1.1× 324 0.9× 371 1.0× 183 0.9× 43 1.7k
Giuseppe Iannucci Italy 15 961 0.8× 709 1.2× 255 0.7× 308 0.8× 182 0.9× 34 1.4k
Siobhan M Leary United Kingdom 18 1.4k 1.2× 336 0.6× 464 1.2× 566 1.6× 246 1.2× 32 1.7k
Simon J. Hickman United Kingdom 25 1.3k 1.1× 763 1.3× 385 1.0× 870 2.4× 211 1.0× 68 2.4k
Marios Yiannakas United Kingdom 20 829 0.7× 582 1.0× 206 0.5× 343 0.9× 134 0.7× 54 1.4k
Zhaleh Khaleeli United Kingdom 19 892 0.8× 302 0.5× 271 0.7× 277 0.8× 104 0.5× 27 1.1k
Valerie L. Stevenson United Kingdom 21 1.5k 1.4× 392 0.7× 462 1.2× 773 2.1× 185 0.9× 54 2.2k
Ravish Kapoor United States 20 754 0.7× 236 0.4× 274 0.7× 322 0.9× 245 1.2× 58 1.3k
C.H. Polman Netherlands 13 1.2k 1.0× 202 0.4× 318 0.8× 527 1.4× 138 0.7× 22 1.4k
Peter Brex United Kingdom 14 1.1k 1.0× 205 0.4× 349 0.9× 550 1.5× 144 0.7× 27 1.4k

Countries citing papers authored by Colette Griffin

Since Specialization
Citations

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

Fields of papers citing papers by Colette Griffin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colette Griffin

This figure shows the co-authorship network connecting the top 25 collaborators of Colette Griffin. A scholar is included among the top collaborators of Colette Griffin 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 Colette Griffin. Colette Griffin 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.
Parker, Thomas D. & Colette Griffin. (2023). Mild Traumatic Brain Injury including Concussion. Cambridge University Press eBooks. 12 indexed citations
2.
Clark, Camilla N., et al.. (2022). Reframing postconcussional syndrome as an interface disorder of neurology, psychiatry and psychology. Brain. 145(6). 1906–1915. 20 indexed citations
3.
Li, Lucia M., Alan Carson, Peter J. Hutchinson, et al.. (2021). Management of traumatic brain injury (TBI): a clinical neuroscience-led pathway for the NHS. Clinical Medicine. 21(2). e198–e205. 14 indexed citations
4.
Parker, Thomas D., et al.. (2021). Post-traumatic amnesia. Practical Neurology. 22(2). 129–137. 11 indexed citations
5.
Garcia-Reitboeck, Pablo, et al.. (2013). Upbeat nystagmus in anti-Ma2 encephalitis. Practical Neurology. 14(1). 36–38. 13 indexed citations
6.
7.
Griffin, Colette, et al.. (2013). Paraphenylene dimers with diphenylamine donor groups: synthesis and photophysics. Tetrahedron Letters. 54(24). 3097–3100. 2 indexed citations
8.
Griffin, Colette, et al.. (2008). Steroid-Responsive Encephalopathy Associated with Autoimmune Thyroiditis Presenting with Diffusion MR Imaging Changes: Fig 1.. American Journal of Neuroradiology. 29(8). 1550–1551. 24 indexed citations
9.
Rashid, Waqar, Gerard R. Davies, Declan Chard, et al.. (2006). Upper cervical cord area in early relapsing‐remitting multiple sclerosis: Cross‐sectional study of factors influencing cord size. Journal of Magnetic Resonance Imaging. 23(4). 473–476. 37 indexed citations
10.
Davies, Gerard R., Daniel R. Altmann, Andreas Hadjiprocopis, et al.. (2005). Increasing normal–appearing grey and white matter magnetisation transfer ratio abnormality in early relapsing–remitting multiple sclerosis. Journal of Neurology. 252(9). 1037–1044. 61 indexed citations
11.
Chard, Declan, Daniel R. Altmann, G. Davies, et al.. (2005). Gray and white matter volume changes in early RRMS. Neurology. 64(6). 1001–1007. 144 indexed citations
12.
Davies, Gerard R., Daniel R. Altmann, Waqar Rashid, et al.. (2005). Emergence of thalamic magnetization transfer ratio abnormality in early relapsing—remitting multiple sclerosis. Multiple Sclerosis Journal. 11(3). 276–281. 29 indexed citations
13.
Ciccarelli, Olga, David J. Werring, Gareth J. Barker, et al.. (2003). A study of the mechanisms of normal-appearing white matter damage in multiple sclerosis using diffusion tensor imaging. Journal of Neurology. 250(3). 287–292. 146 indexed citations
14.
Traboulsee, Anthony, Jamshid Dehmeshki, Kevin R. Peters, et al.. (2003). Disability in multiple sclerosis is related to normal appearing brain tissue MTR histogram abnormalities. Multiple Sclerosis Journal. 9(6). 566–573. 67 indexed citations
15.
Griffin, Colette, Declan Chard, Geoff J.M. Parker, et al.. (2002). The relationship between lesion and normal appearing brain tissue abnormalities in early relapsing remitting multiple sclerosis. Journal of Neurology. 249(2). 193–199. 65 indexed citations
16.
Chard, Declan, Geoff J.M. Parker, Colette Griffin, Alan J. Thompson, & David H. Miller. (2002). The reproducibility and sensitivity of brain tissue volume measurements derived from an SPM‐based segmentation methodology. Journal of Magnetic Resonance Imaging. 15(3). 259–267. 127 indexed citations
17.
Chard, Declan, Colette Griffin, Geoff J.M. Parker, et al.. (2002). Brain atrophy in clinically early relapsing–remitting multiple sclerosis. Brain. 125(2). 327–337. 351 indexed citations
18.
Kapeller, Peter, P A Brex, Declan Chard, et al.. (2002). Quantitative 1H MRS imaging 14 years after presenting with a clinically isolated syndrome suggestive of multiple sclerosis. Multiple Sclerosis Journal. 8(3). 207–210. 44 indexed citations
19.
20.
Mohr, David C., et al.. (1996). Therapeutic expectations of patients with multiple sclerosis upon initiating interferon beta-lb: Relationship to adherence to treatment. Multiple Sclerosis Journal. 2(5). 222–226. 111 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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