Matthew B. Young

1.0k total citations
26 papers, 637 citations indexed

About

Matthew B. Young is a scholar working on Mathematical Physics, Clinical Psychology and Geometry and Topology. According to data from OpenAlex, Matthew B. Young has authored 26 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mathematical Physics, 8 papers in Clinical Psychology and 8 papers in Geometry and Topology. Recurrent topics in Matthew B. Young's work include Algebraic structures and combinatorial models (8 papers), Psychedelics and Drug Studies (7 papers) and Homotopy and Cohomology in Algebraic Topology (7 papers). Matthew B. Young is often cited by papers focused on Algebraic structures and combinatorial models (8 papers), Psychedelics and Drug Studies (7 papers) and Homotopy and Cohomology in Algebraic Topology (7 papers). Matthew B. Young collaborates with scholars based in United States, Germany and United Kingdom. Matthew B. Young's co-authors include Leonard L. Howell, Kerry J. Ressler, Raül Andero, Steven Thomas, Thelma Bethea, Debra A. Bangasser, Irwin Lucki, Gregory V. Carr, Rita J. Valentino and Daniel W. Curry and has published in prestigious journals such as Nature Genetics, Journal of Neuroscience and Neuropsychopharmacology.

In The Last Decade

Matthew B. Young

23 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew B. Young United States 11 262 222 192 100 91 26 637
Chrislean Jun Botanas South Korea 17 328 1.3× 106 0.5× 194 1.0× 120 1.2× 91 1.0× 34 595
Sonja J. Stutz United States 20 720 2.7× 206 0.9× 442 2.3× 121 1.2× 109 1.2× 29 1.1k
Robert G. Fox United States 18 634 2.4× 173 0.8× 428 2.2× 117 1.2× 63 0.7× 32 865
Lisa M. McFadden United States 14 503 1.9× 136 0.6× 247 1.3× 58 0.6× 86 0.9× 37 736
Mike Bickerdike United Kingdom 10 492 1.9× 119 0.5× 283 1.5× 109 1.1× 71 0.8× 15 741
F.H.E. Wojnicki United States 23 648 2.5× 399 1.8× 259 1.3× 97 1.0× 78 0.9× 36 1.2k
Amira Pierucci‐Lagha United States 11 270 1.0× 78 0.4× 140 0.7× 65 0.7× 40 0.4× 13 664
Hans‐Willi Clement Germany 13 201 0.8× 93 0.4× 166 0.9× 70 0.7× 62 0.7× 31 671
Madeleine V. King United Kingdom 16 643 2.5× 211 1.0× 331 1.7× 158 1.6× 170 1.9× 29 1.2k
Marie Naughton Ireland 8 172 0.7× 91 0.4× 105 0.5× 132 1.3× 73 0.8× 12 535

Countries citing papers authored by Matthew B. Young

Since Specialization
Citations

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

Fields of papers citing papers by Matthew B. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew B. Young. 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 Matthew B. Young. The network helps show where Matthew B. Young may publish in the future.

Co-authorship network of co-authors of Matthew B. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew B. Young. A scholar is included among the top collaborators of Matthew B. Young 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 Matthew B. Young. Matthew B. Young 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.
Goodwin, Guy M., Anna Nowakowska, Boadie W. Dunlop, et al.. (2025). Results From a Long-Term Observational Follow-Up Study of a Single Dose of Psilocybin for a Treatment-Resistant Episode of Major Depressive Disorder. The Journal of Clinical Psychiatry. 86(1). 3 indexed citations
2.
Young, Matthew B., et al.. (2024). Frobenius–Schur indicators for twisted Real representation theory and two dimensional unoriented topological field theory. Journal of Geometry and Physics. 203. 105260–105260.
3.
Geer, Nathan & Matthew B. Young. (2024). Three dimensional topological quantum field theory from Uq(gl(1|1)) and U(1|1) Chern–Simons theory. Advances in Mathematics. 460. 110044–110044. 1 indexed citations
4.
Marwood, Lindsey, et al.. (2024). The impact of antidepressant discontinuation prior to treatment with psilocybin for treatment-resistant depression. Journal of Psychiatric Research. 180. 198–203. 3 indexed citations
5.
6.
Danson, Sarah, Fuschia M. Sirois, Jonathan Wadsley, et al.. (2023). Mental health burden for NHS healthcare staff during the COVID-19 pandemic: First results of a longitudinal survey. Heliyon. 9(3). e13765–e13765. 2 indexed citations
7.
8.
Rumynin, Dmitriy & Matthew B. Young. (2021). Burnside rings for Real 2-representation theory : the linear theory communications. Warwick Research Archive Portal (University of Warwick). 2 indexed citations
9.
Brashaw, Brian K., et al.. (2020). Development of cost-competitive timber bridge designs for long-term performance. University of Minnesota Digital Conservancy (University of Minnesota). 1 indexed citations
10.
Young, Matthew B., et al.. (2018). A peripheral immune response to remembering trauma contributes to the maintenance of fear memory in mice. Psychoneuroendocrinology. 94. 143–151. 30 indexed citations
11.
Pitts, Elizabeth G., et al.. (2017). (±)-MDMA and its enantiomers: potential therapeutic advantages of R(−)-MDMA. Psychopharmacology. 235(2). 377–392. 34 indexed citations
12.
Young, Matthew B., Seth D. Norrholm, Tanja Jovanović, et al.. (2017). Inhibition of serotonin transporters disrupts the enhancement of fear memory extinction by 3,4-methylenedioxymethamphetamine (MDMA). Psychopharmacology. 234(19). 2883–2895. 78 indexed citations
13.
14.
Young, Matthew B., Raül Andero, Kerry J. Ressler, & Leonard L. Howell. (2015). 3,4-Methylenedioxymethamphetamine facilitates fear extinction learning. Translational Psychiatry. 5(9). e634–e634. 100 indexed citations
15.
Young, Matthew B. & Steven Thomas. (2014). M1-Muscarinic Receptors Promote Fear Memory Consolidation via Phospholipase C and the M-Current. Journal of Neuroscience. 34(5). 1570–1578. 37 indexed citations
16.
Ouyang, Ming, et al.. (2012). Redundant Catecholamine Signaling Consolidates Fear Memory via Phospholipase C. Journal of Neuroscience. 32(6). 1932–1941. 21 indexed citations
17.
Mann, Robert B., Matthew B. Young, & Ivette Fuentes-Schuller. (2011). A perturbative approach to inelastic collisions in a Bose–Einstein condensate. Journal of Physics B Atomic Molecular and Optical Physics. 44(8). 85301–85301.
18.
Carr, Gregory V., Debra A. Bangasser, Thelma Bethea, et al.. (2009). Antidepressant-Like Effects of κ-Opioid Receptor Antagonists in Wistar Kyoto Rats. Neuropsychopharmacology. 35(3). 752–763. 112 indexed citations
19.
Clee, Susanne M., Brian S. Yandell, Mary E. Rabaglia, et al.. (2006). Positional cloning of Sorcs1, a type 2 diabetes quantitative trait locus. Nature Genetics. 38(6). 688–693. 133 indexed citations
20.
Young, Matthew B. & A. J. Slavin. (1991). The adsorption of C2H4 on the Mo(110) surface and the evolution of the surface with temperature. Surface Science. 245(1-2). 56–64. 14 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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