Matt C. Gabel

1.7k total citations
8 papers, 485 citations indexed

About

Matt C. Gabel is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Matt C. Gabel has authored 8 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Neurology and 2 papers in Psychiatry and Mental health. Recurrent topics in Matt C. Gabel's work include Advanced Neuroimaging Techniques and Applications (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Cerebral Palsy and Movement Disorders (2 papers). Matt C. Gabel is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Cerebral Palsy and Movement Disorders (2 papers). Matt C. Gabel collaborates with scholars based in United Kingdom, Italy and United States. Matt C. Gabel's co-authors include Ran Gilad-Bachrach, Assaf Schuster, Erin Renshaw, Mara Cercignani, P. Nigel Leigh, Nicholas G. Dowell, Anil K. Seth, Daniel C. Alexander, Giovanni Giulietti and Marco Bozzali and has published in prestigious journals such as Biological Psychiatry, Journal of Neurology Neurosurgery & Psychiatry and Neurobiology of Aging.

In The Last Decade

Matt C. Gabel

7 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matt C. Gabel United Kingdom 6 144 142 112 99 76 8 485
Venkateswaran Rajagopalan United States 16 106 0.7× 174 1.2× 93 0.8× 281 2.8× 24 0.3× 42 778
Antonius Willemsen Netherlands 11 295 2.0× 122 0.9× 29 0.3× 78 0.8× 129 1.7× 30 821
Annika Plate Germany 17 148 1.0× 170 1.2× 151 1.3× 384 3.9× 161 2.1× 34 911
M. Manca Italy 12 136 0.9× 20 0.1× 37 0.3× 76 0.8× 125 1.6× 35 533
Giacomo Donato Cascarano Italy 12 121 0.8× 90 0.6× 126 1.1× 86 0.9× 26 0.3× 19 428
Karen Otte Germany 12 122 0.8× 11 0.1× 64 0.6× 80 0.8× 172 2.3× 23 528
José Maria Fernandes Portugal 12 108 0.8× 11 0.1× 79 0.7× 52 0.5× 79 1.0× 46 489
Sebastian Mansow‐Model Germany 10 106 0.7× 9 0.1× 61 0.5× 58 0.6× 137 1.8× 18 450
Nicole Shuang Yu Chia Singapore 13 93 0.6× 39 0.3× 17 0.2× 315 3.2× 76 1.0× 24 455
Lazzaro di Biase Italy 20 255 1.8× 68 0.5× 34 0.3× 785 7.9× 94 1.2× 43 1.2k

Countries citing papers authored by Matt C. Gabel

Since Specialization
Citations

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

Fields of papers citing papers by Matt C. Gabel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt C. Gabel. 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 Matt C. Gabel. The network helps show where Matt C. Gabel may publish in the future.

Co-authorship network of co-authors of Matt C. Gabel

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

All Works

8 of 8 papers shown
1.
Gabel, Matt C., Alexandra L. Young, Sharon Abrahams, et al.. (2020). Evolution of white matter damage in amyotrophic lateral sclerosis. Annals of Clinical and Translational Neurology. 7(5). 722–732. 16 indexed citations
2.
Dowell, Nicholas G., et al.. (2020). Comparing multiband and singleband EPI in NODDI at 3 T: what are the implications for reproducibility and study sample sizes?. Magnetic Resonance Materials in Physics Biology and Medicine. 34(4). 499–511. 5 indexed citations
3.
Snow, W. M., G. Visser, J. Doskow, et al.. (2020). Experimental Apparatus and Design for Parity-Odd Asymmetry Measurements in Compound Nuclei. 207–209.
4.
Gabel, Matt C., Nicholas G. Dowell, David J. Schwartzman, et al.. (2018). Neurite orientation and dispersion density imaging (NODDI) detects cortical and corticospinal tract degeneration in ALS. Journal of Neurology Neurosurgery & Psychiatry. 90(4). 404–411. 74 indexed citations
5.
Barritt, Andrew W., Matt C. Gabel, Mara Cercignani, & P. Nigel Leigh. (2018). Emerging Magnetic Resonance Imaging Techniques and Analysis Methods in Amyotrophic Lateral Sclerosis. Frontiers in Neurology. 9. 1065–1065. 28 indexed citations
6.
Rae, Charlotte L., Geoff Davies, Sarah N. Garfinkel, et al.. (2017). Deficits in Neurite Density Underlie White Matter Structure Abnormalities in First-Episode Psychosis. Biological Psychiatry. 82(10). 716–725. 47 indexed citations
7.
Cercignani, Mara, Giovanni Giulietti, Nicholas G. Dowell, et al.. (2016). Characterizing axonal myelination within the healthy population: a tract-by-tract mapping of effects of age and gender on the fiber g-ratio. Neurobiology of Aging. 49. 109–118. 72 indexed citations
8.
Gabel, Matt C., Ran Gilad-Bachrach, Erin Renshaw, & Assaf Schuster. (2012). Full body gait analysis with Kinect. PubMed. 2012. 1964–1967. 243 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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