Peter Seres

3.3k total citations
88 papers, 2.5k citations indexed

About

Peter Seres is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter Seres has authored 88 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Cognitive Neuroscience and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peter Seres's work include Advanced MRI Techniques and Applications (29 papers), Advanced Neuroimaging Techniques and Applications (24 papers) and Functional Brain Connectivity Studies (22 papers). Peter Seres is often cited by papers focused on Advanced MRI Techniques and Applications (29 papers), Advanced Neuroimaging Techniques and Applications (24 papers) and Functional Brain Connectivity Studies (22 papers). Peter Seres collaborates with scholars based in Canada, United States and United Kingdom. Peter Seres's co-authors include Nikolai Malykhin, Nicholas J. Coupland, Rawle Carter, Alan H. Wilman, Philip G. Tibbo, R. Marc Lebel, Kathleen Hegadoren, Yushan Huang, Richard Camicioli and Christian Beaulieu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Peter Seres

82 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Seres Canada 29 855 776 468 353 296 88 2.5k
Philipp G. Sämann Germany 31 1.7k 2.0× 600 0.8× 251 0.5× 214 0.6× 199 0.7× 71 3.0k
Woo‐Suk Tae South Korea 32 1.6k 1.9× 830 1.1× 563 1.2× 920 2.6× 208 0.7× 130 3.2k
Ruth Tuura Switzerland 34 1.2k 1.4× 1.3k 1.7× 867 1.9× 567 1.6× 104 0.4× 127 3.9k
Chu‐Chung Huang Taiwan 32 2.5k 2.9× 854 1.1× 441 0.9× 646 1.8× 106 0.4× 78 4.0k
Lars Michels Switzerland 37 2.1k 2.5× 824 1.1× 476 1.0× 752 2.1× 74 0.3× 127 3.9k
Min Tae M Park Canada 21 773 0.9× 409 0.5× 253 0.5× 346 1.0× 144 0.5× 41 1.8k
Nikolai Malykhin Canada 24 879 1.0× 544 0.7× 384 0.8× 409 1.2× 283 1.0× 43 1.9k
Katherine E. Prater United States 14 2.1k 2.5× 698 0.9× 263 0.6× 444 1.3× 142 0.5× 23 3.2k
Nicole R. Zürcher United States 29 893 1.0× 217 0.3× 305 0.7× 506 1.4× 91 0.3× 60 2.4k
José Miguel Soares Portugal 19 1.2k 1.4× 778 1.0× 135 0.3× 303 0.9× 127 0.4× 47 2.3k

Countries citing papers authored by Peter Seres

Since Specialization
Citations

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

Fields of papers citing papers by Peter Seres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Seres

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Seres. A scholar is included among the top collaborators of Peter Seres 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 Peter Seres. Peter Seres 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.
Snyder, Jeff, et al.. (2025). Importance of R 2 accuracy in susceptibility source separation. Magnetic Resonance in Medicine. 95(1). 157–171.
2.
Snyder, Jeff, Peter Seres, Derek Emery, et al.. (2024). MR Susceptibility Separation for Quantifying Lesion Paramagnetic and Diamagnetic Evolution in Relapsing–Remitting Multiple Sclerosis. Journal of Magnetic Resonance Imaging. 60(5). 1867–1879. 8 indexed citations
3.
Benatar, Michael, Hannah Briemberg, Annie Dionne, et al.. (2024). Mismatch between clinically defined classification of ALS stage and the burden of cerebral pathology. Journal of Neurology. 271(5). 2547–2559. 1 indexed citations
4.
5.
Kushol, Rafsanjany, Collin Luk, Michael Benatar, et al.. (2023). SF2Former: Amyotrophic lateral sclerosis identification from multi-center MRI data using spatial and frequency fusion transformer. Computerized Medical Imaging and Graphics. 108. 102279–102279. 11 indexed citations
6.
Luk, Collin, Abdullah Ishaque, Peter Seres, et al.. (2022). Motor cortex functional connectivity is associated with underlying neurochemistry in ALS. Journal of Neurology Neurosurgery & Psychiatry. 94(3). 193–200. 10 indexed citations
7.
Seres, Peter, et al.. (2022). White Matter Diffusion Properties in Chronic Temporomandibular Disorders: An Exploratory Analysis. SHILAP Revista de lepidopterología. 3. 880831–880831. 1 indexed citations
8.
9.
Hanstock, Christopher C., Peter Seres, Stephen C. Newman, et al.. (2021). Glutamate levels in the medial prefrontal cortex of healthy pregnant women compared to non-pregnant controls. Psychoneuroendocrinology. 133. 105382–105382. 2 indexed citations
10.
Olsen, Fraser, et al.. (2021). Selective Effects of Healthy Cognitive Aging and Catechol- O -Methyl Transferase Polymorphism on Limbic White Matter Tracts. Brain Connectivity. 12(2). 146–163. 1 indexed citations
11.
Hanstock, Christopher C., Peter Seres, Tami Shandro, et al.. (2021). Decreased Medial Prefrontal Cortex Glutamate Levels in Perimenopausal Women. Frontiers in Psychiatry. 12. 763562–763562. 8 indexed citations
12.
Carter, Luke N., Owen Addison, Peter Seres, et al.. (2020). Reducing MRI susceptibility artefacts in implants using additively manufactured porous Ti-6Al-4V structures. Acta Biomaterialia. 107. 338–348. 36 indexed citations
13.
Huang, Yushan, Nicholas J. Coupland, R. Marc Lebel, et al.. (2013). Structural Changes in Hippocampal Subfields in Major Depressive Disorder: A High-Field Magnetic Resonance Imaging Study. Biological Psychiatry. 74(1). 62–68. 147 indexed citations
14.
Tibbo, Philip G., et al.. (2012). 3‐T proton magnetic spectroscopy in unmedicated first episode psychosis: A focus on creatine. Magnetic Resonance in Medicine. 69(3). 613–620. 24 indexed citations
15.
Liggins, A.B., et al.. (2012). Distribution of Internal Strains Around Bony Prominences in Pigs. Annals of Biomedical Engineering. 40(8). 1721–1739. 14 indexed citations
16.
Hanstock, Christopher C., Peter Seres, Stephen C. Newman, et al.. (2012). Increased Glutamate Levels in the Medial Prefrontal Cortex in Patients with Postpartum Depression. Neuropsychopharmacology. 37(11). 2428–2435. 74 indexed citations
17.
Choi, Changho, et al.. (2011). Mesial Prefrontal Cortex Degeneration in Amyotrophic Lateral Sclerosis: A High-Field Proton MR Spectroscopy Study. American Journal of Neuroradiology. 32(9). 1677–1680. 15 indexed citations
18.
Michielse, Stijn, Nick Coupland, Richard Camicioli, et al.. (2010). Selective effects of aging on brain white matter microstructure: A diffusion tensor imaging tractography study. NeuroImage. 52(4). 1190–1201. 121 indexed citations
19.
Purdon, Scot E., et al.. (2008). Elevated 3T proton MRS glutamate levels associated with poor Continuous Performance Test (CPT-0X) scores and genetic risk for schizophrenia. Schizophrenia Research. 99(1-3). 218–224. 59 indexed citations
20.
Choi, Changho, et al.. (2007). Measurement of glycine in human brain by triple refocusing 1H‐MRS in vivo at 3.0T. Magnetic Resonance in Medicine. 59(1). 59–64. 28 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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