Daniel J. Tozer

4.7k total citations
76 papers, 2.9k citations indexed

About

Daniel J. Tozer is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Daniel J. Tozer has authored 76 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Pathology and Forensic Medicine and 17 papers in Neurology. Recurrent topics in Daniel J. Tozer's work include Advanced Neuroimaging Techniques and Applications (27 papers), Advanced MRI Techniques and Applications (24 papers) and Multiple Sclerosis Research Studies (20 papers). Daniel J. Tozer is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (27 papers), Advanced MRI Techniques and Applications (24 papers) and Multiple Sclerosis Research Studies (20 papers). Daniel J. Tozer collaborates with scholars based in United Kingdom, Netherlands and Singapore. Daniel J. Tozer's co-authors include Paul S. Tofts, David H. Miller, Hugh S. Markus, Klaus Schmierer, Gareth J. Barker, Claudia A. M. Gandini Wheeler‐Kingshott, Adam Waldman, Jeremy Rees, Hans Rolf Jäger and Daniel R. Altmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Brain.

In The Last Decade

Daniel J. Tozer

74 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Tozer United Kingdom 30 1.7k 606 480 428 350 76 2.9k
Akio Hiwatashi Japan 34 1.9k 1.1× 924 1.5× 792 1.6× 754 1.8× 434 1.2× 206 4.3k
Annette Förschler Germany 23 821 0.5× 455 0.8× 463 1.0× 323 0.8× 380 1.1× 43 2.4k
Masayuki Sasaki Japan 34 1.6k 0.9× 325 0.5× 702 1.5× 193 0.5× 810 2.3× 165 3.7k
Ulrich Roelcke Switzerland 25 790 0.5× 502 0.8× 519 1.1× 731 1.7× 288 0.8× 73 2.5k
Thomas Tourdias France 31 909 0.5× 510 0.8× 673 1.4× 112 0.3× 454 1.3× 115 2.5k
Doris Lin United States 29 991 0.6× 380 0.6× 692 1.4× 193 0.5× 202 0.6× 107 2.7k
Takato Morioka Japan 33 761 0.4× 347 0.6× 1.1k 2.2× 622 1.5× 371 1.1× 290 4.6k
Jan Sedlacik Germany 32 1.3k 0.8× 175 0.3× 551 1.1× 228 0.5× 214 0.6× 105 2.9k
Akifumi Hagiwara Japan 28 1.9k 1.1× 323 0.5× 371 0.8× 223 0.5× 156 0.4× 151 2.7k
Andrea Kassner Canada 31 1.8k 1.1× 101 0.2× 630 1.3× 301 0.7× 610 1.7× 82 3.4k

Countries citing papers authored by Daniel J. Tozer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Tozer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Tozer. 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 Daniel J. Tozer. The network helps show where Daniel J. Tozer may publish in the future.

Co-authorship network of co-authors of Daniel J. Tozer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Tozer. A scholar is included among the top collaborators of Daniel J. Tozer 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 Daniel J. Tozer. Daniel J. Tozer 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.
Li, Rui, Eric L. Harshfield, Steven Bell, et al.. (2024). Predicting Incident Dementia in Cerebral Small Vessel Disease: Comparison of Machine Learning and Traditional Statistical Models. SHILAP Revista de lepidopterología. 6. 100235–100235.
2.
3.
Hong, Hui, Daniel J. Tozer, & Hugh S. Markus. (2024). Relationship of Perivascular Space Markers With Incident Dementia in Cerebral Small Vessel Disease. Stroke. 55(4). 1032–1040. 28 indexed citations
4.
Tozer, Daniel J., et al.. (2024). Improved Dementia Prediction in Cerebral Small Vessel Disease Using Deep Learning–Derived Diffusion Scalar Maps From T1. Stroke. 55(9). 2254–2263. 4 indexed citations
5.
Brown, Robin, Daniel J. Tozer, Young T. Hong, et al.. (2024). Are central and systemic inflammation associated with fatigue in cerebral small vessel disease?. International Journal of Stroke. 19(6). 705–713. 3 indexed citations
6.
Brown, Robin, et al.. (2023). How often does white matter hyperintensity volume regress in cerebral small vessel disease?. International Journal of Stroke. 18(8). 937–947. 7 indexed citations
7.
Rua, Catarina, Andrew D. MacKinnon, Philip Benjamin, et al.. (2022). Visualisation of lenticulostriate arteries using contrast-enhanced time-of-flight magnetic resonance angiography at 7 Tesla. Scientific Reports. 12(1). 20306–20306. 8 indexed citations
8.
Hilal, Saima, Anil M. Tuladhar, Lukas Pirpamer, et al.. (2021). Prediction of dementia using diffusion tensor MRI measures: the OPTIMAL collaboration. Journal of Neurology Neurosurgery & Psychiatry. 93(1). 14–23. 26 indexed citations
9.
Nannoni, Stefania, Eric L. Harshfield, Daniel J. Tozer, et al.. (2021). NOTCH3 variants are more common than expected in the general population and associated with stroke and vascular dementia: an analysis of 200 000 participants. Journal of Neurology Neurosurgery & Psychiatry. 92(7). 694–701. 43 indexed citations
10.
Traylor, Matthew, Daniel J. Tozer, Iain D. Croall, et al.. (2019). Genetic variation in PLEKHG1 is associated with white matter hyperintensities (n = 11,226). Neurology. 92(8). e749–e757. 58 indexed citations
11.
Rutten‐Jacobs, Loes C.A., Daniel J. Tozer, Marco Duering, et al.. (2018). Genetic Study of White Matter Integrity in UK Biobank (N=8448) and the Overlap With Stroke, Depression, and Dementia. Stroke. 49(6). 1340–1347. 54 indexed citations
12.
Paling, David, Bhavana Solanky, Frank Riemer, et al.. (2013). Sodium accumulation is associated with disability and a progressive course in multiple sclerosis. Brain. 136(7). 2305–2317. 99 indexed citations
13.
Yiannakas, Marios, Claudia A. M. Gandini Wheeler‐Kingshott, Karyn E. Chappell, et al.. (2010). A method for measuring the cross sectional area of the anterior portion of the optic nerve in vivo using a fast 3D MRI sequence. Journal of Magnetic Resonance Imaging. 31(6). 1486–1491. 12 indexed citations
14.
Schmierer, Klaus, et al.. (2010). Effects of formalin fixation on magnetic resonance indices in multiple sclerosis cortical gray matter. Journal of Magnetic Resonance Imaging. 32(5). 1054–1060. 28 indexed citations
15.
Tozer, Daniel J., Jeremy Rees, Christopher E. Benton, et al.. (2010). Quantitative magnetisation transfer imaging in glioma: preliminary results. NMR in Biomedicine. 24(5). 492–498. 18 indexed citations
16.
Tozer, Daniel J., Giuseppe Marongiu, Josephine Swanton, Alan J. Thompson, & David H. Miller. (2009). Texture analysis of magnetization transfer maps from patients with clinically isolated syndrome and multiple sclerosis. Journal of Magnetic Resonance Imaging. 30(3). 506–513. 23 indexed citations
17.
Caseiras, Gisele Brasil, Olga Ciccarelli, Daniel R. Altmann, et al.. (2009). Low-Grade Gliomas: Six-month Tumor Growth Predicts Patient Outcome Better than Admission Tumor Volume, Relative Cerebral Blood Volume, and Apparent Diffusion Coefficient. Radiology. 253(2). 505–512. 65 indexed citations
18.
Rees, Jeremy, Hilary Watt, Hans Rolf Jäger, et al.. (2008). Volumes and growth rates of untreated adult low-grade gliomas indicate risk of early malignant transformation. European Journal of Radiology. 72(1). 54–64. 104 indexed citations
19.
Tofts, Paul S., Jonathan S. Jackson, Daniel J. Tozer, et al.. (2007). Imaging cadavers: Cold FLAIR and noninvasive brain thermometry using CSF diffusion. Magnetic Resonance in Medicine. 59(1). 190–195. 43 indexed citations
20.
Cercignani, Mara, Mark R. Symms, Klaus Schmierer, et al.. (2005). Three-dimensional quantitative magnetisation transfer imaging of the human brain. NeuroImage. 27(2). 436–441. 57 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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