James S. Sutcliffe

49.3k total citations · 3 hit papers
92 papers, 9.5k citations indexed

About

James S. Sutcliffe is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, James S. Sutcliffe has authored 92 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Genetics, 50 papers in Cognitive Neuroscience and 35 papers in Molecular Biology. Recurrent topics in James S. Sutcliffe's work include Autism Spectrum Disorder Research (50 papers), Genetics and Neurodevelopmental Disorders (44 papers) and Genomic variations and chromosomal abnormalities (24 papers). James S. Sutcliffe is often cited by papers focused on Autism Spectrum Disorder Research (50 papers), Genetics and Neurodevelopmental Disorders (44 papers) and Genomic variations and chromosomal abnormalities (24 papers). James S. Sutcliffe collaborates with scholars based in United States, Canada and Denmark. James S. Sutcliffe's co-authors include David L. Nelson, Arthur L. Beaudet, Stephen T. Warren, Maura Pieretti, Ben A. Oostra, Derek P.A. Kuhl, C. Thomas Caskey, Raymond G. Fenwick, Stephen Richards and Ying‐Hui Fu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

James S. Sutcliffe

90 papers receiving 9.2k citations

Hit Papers

Variation of the CGG repeat at the fragile X site results... 1991 2026 2002 2014 1991 1997 1992 500 1000 1.5k

Peers

James S. Sutcliffe
Schahram Akbarian United States
S. Hossein Fatemi United States
Matthew W. State United States
T. Conrad Gilliam United States
Richard E. Straub United States
Ben A. Oostra Netherlands
Sven Cichon Germany
Alan K. Percy United States
Michael L. Cuccaro United States
Schahram Akbarian United States
James S. Sutcliffe
Citations per year, relative to James S. Sutcliffe James S. Sutcliffe (= 1×) peers Schahram Akbarian

Countries citing papers authored by James S. Sutcliffe

Since Specialization
Citations

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

Fields of papers citing papers by James S. Sutcliffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. Sutcliffe. 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 James S. Sutcliffe. The network helps show where James S. Sutcliffe may publish in the future.

Co-authorship network of co-authors of James S. Sutcliffe

This figure shows the co-authorship network connecting the top 25 collaborators of James S. Sutcliffe. A scholar is included among the top collaborators of James S. Sutcliffe 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 James S. Sutcliffe. James S. Sutcliffe 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.
Anderson, George P., Edwin H. Cook, Randy Blakely, James S. Sutcliffe, & Jeremy Veenstra‐VanderWeele. (2024). Long COVID-19 and Peripheral Serotonin: A Commentary and Reconsideration. Journal of Inflammation Research. Volume 17. 2169–2172. 6 indexed citations
2.
Niarchou, Maria, et al.. (2022). Characterizing sleep disorders in an autism-specific collection of electronic health records. Sleep Medicine. 92. 88–95. 12 indexed citations
3.
Williams, Zachary J., Jacob I. Feldman, Michelle D. Failla, et al.. (2021). Psychometric validation and refinement of the Interoception Sensory Questionnaire (ISQ) in adolescents and adults on the autism spectrum. Molecular Autism. 12(1). 42–42. 10 indexed citations
4.
Wang, Quan, Rui Chen, Feixiong Cheng, et al.. (2019). A Bayesian framework that integrates multi-omics data and gene networks predicts risk genes from schizophrenia GWAS data. Nature Neuroscience. 22(5). 691–699. 84 indexed citations
5.
Dohn, Michael R., Lisa Bastarache, Tammy Jessen, et al.. (2017). The Gain-of-Function Integrin β3 Pro33 Variant Alters the Serotonin System in the Mouse Brain. Journal of Neuroscience. 37(46). 11271–11284. 21 indexed citations
6.
Cartier, Etienne, Peter J. Hamilton, Andrea N. Belovich, et al.. (2015). Rare Autism-Associated Variants Implicate Syntaxin 1 (STX1 R26Q) Phosphorylation and the Dopamine Transporter (hDAT R51W) in Dopamine Neurotransmission and Behaviors. EBioMedicine. 2(2). 135–146. 54 indexed citations
7.
Jessen, Tammy, et al.. (2015). Integrin β3 Haploinsufficiency Modulates Serotonin Transport and Antidepressant-Sensitive Behavior in Mice. Neuropsychopharmacology. 40(8). 2015–2024. 24 indexed citations
8.
Campbell, Nicholas G., Chong-Bin Zhu, Brian L. Yaspan, et al.. (2013). Rare coding variants of the adenosine A3 receptor are increased in autism: on the trail of the serotonin transporter regulome. Molecular Autism. 4(1). 28–28. 18 indexed citations
9.
Veenstra‐VanderWeele, Jeremy, Christopher L. Muller, Hideki Iwamoto, et al.. (2012). Autism gene variant causes hyperserotonemia, serotonin receptor hypersensitivity, social impairment and repetitive behavior. Proceedings of the National Academy of Sciences. 109(14). 5469–5474. 246 indexed citations
10.
11.
Zhu, Chong-Bin, et al.. (2011). Colocalization and Regulated Physical Association of Presynaptic Serotonin Transporters with A3 Adenosine Receptors. Molecular Pharmacology. 80(3). 458–465. 28 indexed citations
12.
Yaspan, Brian L., William S. Bush, Eric S. Torstenson, et al.. (2011). Genetic analysis of biological pathway data through genomic randomization. Human Genetics. 129(5). 563–571. 37 indexed citations
13.
Campbell, Jerry L., et al.. (2009). Association of MET with social and communication phenotypes in individuals with autism spectrum disorder. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 153B(2). 438–446. 39 indexed citations
14.
Campbell, Jerry L., James S. Sutcliffe, Philip J. Ebert, et al.. (2006). A genetic variant that disrupts MET transcription is associated with autism. Proceedings of the National Academy of Sciences. 103(45). 16834–16839. 310 indexed citations
15.
Weiss, Lauren A., Gülüm Kosova, Ryan Delahanty, et al.. (2006). Variation in ITGB3 is associated with whole-blood serotonin level and autism susceptibility. European Journal of Human Genetics. 14(8). 923–931. 70 indexed citations
16.
Rabionet, Raquel, Jacob L. McCauley, James Jaworski, et al.. (2006). Lack of Association Between Autism and SLC25A12. American Journal of Psychiatry. 163(5). 929–931. 32 indexed citations
17.
Dykens, Elisabeth M., James S. Sutcliffe, & Pat Levitt. (2004). Autism and 15q11‐q13 disorders: Behavioral, genetic, and pathophysiological issues. Mental Retardation and Developmental Disabilities Research Reviews. 10(4). 284–291. 74 indexed citations
18.
Ning, Yi, et al.. (1996). Identification of a novel paternally expressed transcript adjacent to snRPN in the Prader-Willi syndrome critical region.. Genome Research. 6(8). 742–746. 22 indexed citations
19.
Sutcliffe, James S., et al.. (1994). Imprinting analysis of three genes in the Prader — Willi/Angelman region: SNRPN, E6-associated protein, and PAR-2 (D15S225E). Human Molecular Genetics. 3(2). 309–315. 96 indexed citations
20.
Sutcliffe, James S., et al.. (1992). DNA methylation represses FMR-1 transcription in fragile X syndrome. Human Molecular Genetics. 1(6). 397–400. 557 indexed citations breakdown →

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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