Joseph D. Buxbaum

117.2k total citations · 8 hit papers
357 papers, 26.2k citations indexed

About

Joseph D. Buxbaum is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Joseph D. Buxbaum has authored 357 papers receiving a total of 26.2k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Genetics, 136 papers in Molecular Biology and 133 papers in Cognitive Neuroscience. Recurrent topics in Joseph D. Buxbaum's work include Autism Spectrum Disorder Research (130 papers), Genetics and Neurodevelopmental Disorders (107 papers) and Alzheimer's disease research and treatments (76 papers). Joseph D. Buxbaum is often cited by papers focused on Autism Spectrum Disorder Research (130 papers), Genetics and Neurodevelopmental Disorders (107 papers) and Alzheimer's disease research and treatments (76 papers). Joseph D. Buxbaum collaborates with scholars based in United States, United Kingdom and France. Joseph D. Buxbaum's co-authors include Paul Greengard, Vahram Haroutunian, Kenneth L. Davis, Sam Gandy, Iuliana Ionita‐Laza, Patrick R. Hof, Catalina Betancur, Silvia De Rubeis, Jennifer Reichert and Alexander Kolevzon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Joseph D. Buxbaum

342 papers receiving 25.7k citations

Hit Papers

Genome-wide expression analysis reveals dysregulation of ... 1998 2026 2007 2016 2001 2000 1998 2014 2003 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genome-wide expression analysis reveals dysregulation of myelination-related genes in chronic schizophrenia
    2001 988 citations Joseph D. Buxbaum et al. Proceedings of the National Academy of Sciences profile →
  2. Intraneuronal Aβ42 Accumulation in Human Brain
    2000 833 citations Joseph D. Buxbaum et al. profile →
  3. Evidence That Tumor Necrosis Factor α Converting Enzyme Is Involved in Regulated α-Secretase Cleavage of the Alzheimer Amyloid Protein Precursor
    1998 774 citations Joseph D. Buxbaum et al. profile →
  4. Most genetic risk for autism resides with common variation
    2014 774 citations Stephan Sanders, Sven Sandin et al. profile →
  5. White Matter Changes in Schizophrenia
    2003 647 citations Joseph D. Buxbaum et al. profile →
  6. A spectral approach integrating functional genomic annotations for coding and noncoding variants
    2016 375 citations Iuliana Ionita‐Laza, Joseph D. Buxbaum et al. profile →
  7. Autism spectrum disorder: neuropathology and animal models
    2017 354 citations Hala Harony‐Nicolas, Silvia De Rubeis et al. profile →
  8. Comorbidities in autism spectrum disorder and their etiologies
    2023 107 citations Vahe Khachadourian, Behrang Mahjani et al. Translational Psychiatry profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph D. Buxbaum United States 87 11.2k 8.1k 7.0k 6.9k 4.5k 357 26.2k
Jacqueline N. Crawley United States 98 14.5k 1.3× 8.5k 1.1× 3.6k 0.5× 10.7k 1.5× 15.2k 3.4× 329 36.5k
J. David Sweatt United States 103 20.3k 1.8× 7.7k 1.0× 4.6k 0.6× 6.4k 0.9× 14.3k 3.2× 227 35.0k
Dick F. Swaab Netherlands 102 6.4k 0.6× 3.3k 0.4× 6.6k 0.9× 7.3k 1.1× 7.3k 1.6× 684 39.2k
Guy A. Rouleau Canada 89 14.3k 1.3× 5.5k 0.7× 2.9k 0.4× 2.0k 0.3× 7.7k 1.7× 659 33.5k
David A. Greenberg United States 90 11.1k 1.0× 5.4k 0.7× 3.5k 0.5× 1.9k 0.3× 9.0k 2.0× 435 30.5k
Rachael L. Neve United States 103 20.1k 1.8× 3.9k 0.5× 9.4k 1.3× 5.7k 0.8× 16.8k 3.7× 361 37.8k
Alison Goate United States 91 12.2k 1.1× 4.3k 0.5× 15.0k 2.1× 2.3k 0.3× 5.4k 1.2× 431 30.4k
René Hen United States 116 14.5k 1.3× 4.5k 0.6× 4.1k 0.6× 10.6k 1.5× 23.6k 5.2× 326 49.2k
Michael W. Schwartz United States 111 7.3k 0.7× 2.1k 0.3× 19.1k 2.7× 3.0k 0.4× 4.9k 1.1× 291 45.7k
Gerd Kempermann Germany 87 8.2k 0.7× 2.8k 0.4× 4.0k 0.6× 6.3k 0.9× 12.9k 2.9× 212 35.4k

Countries citing papers authored by Joseph D. Buxbaum

Since Specialization
Citations

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

Fields of papers citing papers by Joseph D. Buxbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph D. Buxbaum. 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 Joseph D. Buxbaum. The network helps show where Joseph D. Buxbaum may publish in the future.

Co-authorship network of co-authors of Joseph D. Buxbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph D. Buxbaum. A scholar is included among the top collaborators of Joseph D. Buxbaum 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 Joseph D. Buxbaum. Joseph D. Buxbaum 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.
Mahjani, Behrang, Adrianna P. Kępińska, Lily Cohen, et al.. (2025). Significant Role for Maternal Genetic Nurture in the Risk Architecture of Attention Deficit Hyperactivity Disorder. American Journal of Psychiatry. 182(8). 742–750.
2.
Yang, Yi, Qi Wang, Chen Wang, Joseph D. Buxbaum, & Iuliana Ionita‐Laza. (2024). KnockoffHybrid: A knockoff framework for hybrid analysis of trio and population designs in genome-wide association studies. The American Journal of Human Genetics. 111(7). 1448–1461. 3 indexed citations
3.
Huang, Yong, Minghui Wang, Jinglong Zhang, et al.. (2024). Regulation of cell distancing in peri-plaque glial nets by Plexin-B1 affects glial activation and amyloid compaction in Alzheimer’s disease. Nature Neuroscience. 27(8). 1489–1504. 14 indexed citations
4.
Gao, Yudong, Erik J. Soderblom, S. Alexandra Garcia-Moreno, et al.. (2024). Proximity analysis of native proteomes reveals phenotypic modifiers in a mouse model of autism and related neurodevelopmental conditions. Nature Communications. 15(1). 6801–6801. 13 indexed citations
5.
Levy, Tess, Jessica Zweifach, Danielle Halpern, et al.. (2023). Prospective phenotyping of CHAMP1 disorder indicates that coding mutations may not act through haploinsufficiency. Human Genetics. 142(9). 1385–1394.
6.
Khachadourian, Vahe, Behrang Mahjani, Sven Sandin, et al.. (2023). Comorbidities in autism spectrum disorder and their etiologies. Translational Psychiatry. 13(1). 71–71. 107 indexed citations breakdown →
7.
Levy, Tess, Bari Britvan, Jordana Weissman, et al.. (2022). Assessing the utility of electronic measures as a proxy for cognitive ability. Autism Research. 15(6). 988–995.
8.
Brea‐Fernández, Alejandro, Jorge Amigo, Montse Fernández‐Prieto, et al.. (2022). Trio-based exome sequencing reveals a high rate of the de novo variants in intellectual disability. European Journal of Human Genetics. 30(8). 938–945. 13 indexed citations
9.
Kimura, Hiroki, Masahiro Nakatochi, Branko Aleksić, et al.. (2022). Exome sequencing analysis of Japanese autism spectrum disorder case-control sample supports an increased burden of synaptic function-related genes. Translational Psychiatry. 12(1). 265–265. 8 indexed citations
10.
Ma, Shiyang, Justin Lee, Chen Wang, et al.. (2021). Powerful gene-based testing by integrating long-range chromatin interactions and knockoff genotypes. Proceedings of the National Academy of Sciences. 118(47). 9 indexed citations
11.
Tang, Lara, Tess Levy, Sylvia Guillory, et al.. (2021). Prospective and detailed behavioral phenotyping in DDX3X syndrome. Molecular Autism. 12(1). 36–36. 29 indexed citations
12.
Breen, Michael S., Andrew Browne, Gabriel E. Hoffman, et al.. (2020). Transcriptional signatures of participant-derived neural progenitor cells and neurons implicate altered Wnt signaling in Phelan-McDermid syndrome and autism. Molecular Autism. 11(1). 53–53. 24 indexed citations
13.
Weinberg, Alan, Jonathan Templin, Cristan Farmer, et al.. (2020). Psychometric Study of the Social Responsiveness Scale in Phelan–McDermid Syndrome. Autism Research. 13(8). 1383–1396. 16 indexed citations
14.
Breen, Michael S., Kristi Niblo, Andrew Browne, et al.. (2019). Deletion of the KH1 Domain of Fmr1 Leads to Transcriptional Alterations and Attentional Deficits in Rats. Cerebral Cortex. 29(5). 2228–2244. 21 indexed citations
15.
Breen, Michael S., Süreyya Özcan, Jordan M. Ramsey, et al.. (2018). Temporal proteomic profiling of postnatal human cortical development. Translational Psychiatry. 8(1). 267–267. 19 indexed citations
16.
Srivastava, Siddharth, Benoît Scherrer, Anna K. Prohl, et al.. (2018). Volumetric Analysis of the Basal Ganglia and Cerebellar Structures in Patients with Phelan-McDermid Syndrome. Pediatric Neurology. 90. 37–43. 16 indexed citations
17.
Rubeis, Silvia De, Paige M. Siper, Allison Durkin, et al.. (2018). Delineation of the genetic and clinical spectrum of Phelan-McDermid syndrome caused by SHANK3 point mutations. Molecular Autism. 9(1). 31–31. 138 indexed citations
18.
Sarapas, Casey, Guiqing Cai, Linda M. Bierer, et al.. (2011). Genetic markers for PTSD risk and resilience among survivors of the World Trade Center attacks.. SHILAP Revista de lepidopterología. 30(2-3). 101–10. 100 indexed citations
19.
Beecham, Gary W., Nathalie Schnetz‐Boutaud, Adam C. Naj, et al.. (2010). O2‐07‐04: Copy number polymorphism at chromosome 19 locus associated with late‐onset Alzheimer's disease. Alzheimer s & Dementia. 6(4S_Part_4). 1 indexed citations
20.
Ellison, J. R., Joseph D. Buxbaum, & L Hood. (1981). Nucleotide Sequence of a Human Immunoglobulin Cγ4 Gene. DNA. 1(1). 11–18. 76 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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