M. Hough

3.0k total citations · 1 hit paper
16 papers, 2.3k citations indexed

About

M. Hough is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, M. Hough has authored 16 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Cognitive Neuroscience and 8 papers in Psychiatry and Mental health. Recurrent topics in M. Hough's work include Advanced Neuroimaging Techniques and Applications (11 papers), Functional Brain Connectivity Studies (9 papers) and Schizophrenia research and treatment (7 papers). M. Hough is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (11 papers), Functional Brain Connectivity Studies (9 papers) and Schizophrenia research and treatment (7 papers). M. Hough collaborates with scholars based in United Kingdom, United States and Iran. M. Hough's co-authors include Paul M. Matthews, Clare E. Mackay, Stephen M. Smith, Giovanni B. Frisoni, Nicola Filippini, Christian F. Beckmann, Bradley J. MacIntosh, Guy M. Goodwin, Anthony James and Mojtaba Zarei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Biological Psychiatry.

In The Last Decade

M. Hough

16 papers receiving 2.3k citations

Hit Papers

Distinct patterns of brain activity in young carriers of ... 2009 2026 2014 2020 2009 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Hough United Kingdom 13 1.6k 786 600 368 277 16 2.3k
David J. McGonigle United Kingdom 20 1.4k 0.9× 686 0.9× 749 1.2× 412 1.1× 148 0.5× 31 2.6k
Nils Bodammer Germany 25 1.2k 0.8× 622 0.8× 369 0.6× 225 0.6× 275 1.0× 41 2.2k
Gerda Leinsinger Germany 28 1.1k 0.7× 654 0.8× 603 1.0× 235 0.6× 388 1.4× 48 2.9k
Inge K. Amlien Norway 24 1.8k 1.1× 1.1k 1.4× 810 1.4× 432 1.2× 130 0.5× 42 3.0k
Baoci Shan China 32 1.5k 1.0× 972 1.2× 592 1.0× 406 1.1× 220 0.8× 150 3.2k
Claudia Metzler‐Baddeley United Kingdom 29 1.4k 0.9× 1.3k 1.6× 546 0.9× 393 1.1× 392 1.4× 65 3.0k
Uicheul Yoon South Korea 26 842 0.5× 662 0.8× 410 0.7× 215 0.6× 327 1.2× 64 1.9k
Juergen Dukart Germany 28 1.2k 0.8× 671 0.9× 942 1.6× 457 1.2× 440 1.6× 102 2.9k
Nikolai Malykhin Canada 24 879 0.6× 544 0.7× 409 0.7× 243 0.7× 229 0.8× 43 1.9k
Woo‐Suk Tae South Korea 32 1.6k 1.0× 830 1.1× 920 1.5× 338 0.9× 419 1.5× 130 3.2k

Countries citing papers authored by M. Hough

Since Specialization
Citations

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

Fields of papers citing papers by M. Hough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Hough

This figure shows the co-authorship network connecting the top 25 collaborators of M. Hough. A scholar is included among the top collaborators of M. Hough 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 M. Hough. M. Hough 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.
Seitz‐Holland, Johanna, Felix L. Nägele, Marek Kubicki, et al.. (2022). Shared and distinct white matter abnormalities in adolescent-onset schizophrenia and adolescent-onset psychotic bipolar disorder. Psychological Medicine. 53(10). 4707–4719. 7 indexed citations
2.
James, Anthony, Eileen M. Joyce, M. Hough, et al.. (2016). Abnormal frontostriatal connectivity in adolescent-onset schizophrenia and its relationship to cognitive functioning. European Psychiatry. 35. 32–38. 29 indexed citations
3.
White, Tonya, C. D. de LANGEN, Mathias V. Schmidt, M. Hough, & Anthony James. (2014). Comparative Neuropsychiatry: White Matter Abnormalities in Children and Adolescents with Schizophrenia, Bipolar Affective Disorder, and Obsessive-Compulsive Disorder. European Psychiatry. 30(2). 205–213. 12 indexed citations
4.
Zarei, Mojtaba, Naroa Ibarretxe‐Bilbao, Yaroslau Compta, et al.. (2013). Cortical thinning is associated with disease stages and dementia in Parkinson's disease. Journal of Neurology Neurosurgery & Psychiatry. 84(8). 875–882. 146 indexed citations
5.
Ronan, Lisa, Natalie Voets, Catarina Rua, et al.. (2013). Differential Tangential Expansion as a Mechanism for Cortical Gyrification. Cerebral Cortex. 24(8). 2219–2228. 128 indexed citations
6.
Palaniyappan, Lena, T. J. Crow, M. Hough, et al.. (2013). Gyrification of Broca's region is anomalously lateralized at onset of schizophrenia in adolescence and regresses at 2 year follow-up. Schizophrenia Research. 147(1). 39–45. 35 indexed citations
7.
Yang, Jin-Ju, Uicheul Yoon, Hyuk Jin Yun, et al.. (2013). Prediction for human intelligence using morphometric characteristics of cortical surface: Partial least square analysis. Neuroscience. 246. 351–361. 26 indexed citations
8.
Ronan, Lisa, Natalie Voets, M. Hough, et al.. (2012). Consistency and interpretation of changes in millimeter-scale cortical intrinsic curvature across three independent datasets in schizophrenia. NeuroImage. 63(1). 611–621. 39 indexed citations
9.
James, Anthony, M. Hough, Susan James, et al.. (2011). Greater white and grey matter changes associated with early cannabis use in adolescent-onset schizophrenia (AOS). Schizophrenia Research. 128(1-3). 91–97. 76 indexed citations
10.
Zarei, Mojtaba, David Mataix‐Cols, Isobel Heyman, et al.. (2011). Changes in Gray Matter Volume and White Matter Microstructure in Adolescents with Obsessive-Compulsive Disorder. Biological Psychiatry. 70(11). 1083–1090. 129 indexed citations
11.
James, Anthony, M. Hough, Susan James, et al.. (2011). Structural brain and neuropsychometric changes associated with pediatric bipolar disorder with psychosis. Bipolar Disorders. 13(1). 16–27. 59 indexed citations
12.
Wartolowska, Karolina, M. Hough, Mark Jenkinson, et al.. (2011). Structural changes of the brain in rheumatoid arthritis. Arthritis & Rheumatism. 64(2). 371–379. 79 indexed citations
13.
Filippini, Nicola, Bradley J. MacIntosh, M. Hough, et al.. (2009). Distinct patterns of brain activity in young carriers of the APOE -ε4 allele. Proceedings of the National Academy of Sciences. 106(17). 7209–7214. 1364 indexed citations breakdown →
14.
Wartolowska, K, M. Hough, P Wordsworth, & Irene Tracey. (2009). Structural brain changes in rheumatoid arthritis. NeuroImage. 47. S174–S174. 2 indexed citations
15.
Voets, Natalie, M. Hough, Gwenaëlle Douaud, et al.. (2008). Evidence for abnormalities of cortical development in adolescent-onset schizophrenia. NeuroImage. 43(4). 665–675. 117 indexed citations
16.
Luks, Tracy, Gregory V. Simpson, Corby L. Dale, & M. Hough. (2007). Preparatory allocation of attention and adjustments in conflict processing. NeuroImage. 35(2). 949–958. 91 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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