Daniel H. Geschwind

149.4k total citations · 27 hit papers
428 papers, 50.5k citations indexed

About

Daniel H. Geschwind is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Daniel H. Geschwind has authored 428 papers receiving a total of 50.5k indexed citations (citations by other indexed papers that have themselves been cited), including 243 papers in Molecular Biology, 155 papers in Genetics and 107 papers in Cognitive Neuroscience. Recurrent topics in Daniel H. Geschwind's work include Genetics and Neurodevelopmental Disorders (107 papers), Autism Spectrum Disorder Research (86 papers) and Alzheimer's disease research and treatments (49 papers). Daniel H. Geschwind is often cited by papers focused on Genetics and Neurodevelopmental Disorders (107 papers), Autism Spectrum Disorder Research (86 papers) and Alzheimer's disease research and treatments (49 papers). Daniel H. Geschwind collaborates with scholars based in United States, United Kingdom and Germany. Daniel H. Geschwind's co-authors include Brett S. Abrahams, Steve Horvath, Giovanni Coppola, Pat Levitt, Donna M. Werling, Neelroop Parikshak, Michael C. Oldham, Harley I. Kornblum, Rita M. Cantor and Jennifer K. Lowe and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Daniel H. Geschwind

421 papers receiving 49.7k citations

Hit Papers

Dentate Granule Cell Neur... 1997 2026 2006 2016 1997 2003 2011 2008 2015 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel H. Geschwind 24.9k 14.7k 13.7k 9.2k 5.5k 428 50.5k
Huda Y. Zoghbi 35.0k 1.4× 20.3k 1.4× 10.8k 0.8× 18.5k 2.0× 1.7k 0.3× 390 50.1k
Eric J. Nestler 35.6k 1.4× 7.2k 0.5× 15.0k 1.1× 47.0k 5.1× 11.0k 2.0× 667 92.0k
Richard D. Palmiter 30.6k 1.2× 13.7k 0.9× 5.5k 0.4× 14.2k 1.5× 8.6k 1.6× 471 69.2k
J. David Sweatt 20.3k 0.8× 7.7k 0.5× 6.4k 0.5× 14.3k 1.6× 4.6k 0.8× 227 35.0k
Michael E. Greenberg 58.5k 2.3× 10.0k 0.7× 5.2k 0.4× 26.4k 2.9× 8.3k 1.5× 251 88.7k
Morgan Sheng 32.9k 1.3× 5.1k 0.3× 6.5k 0.5× 29.8k 3.2× 6.9k 1.3× 257 56.0k
René Hen 14.5k 0.6× 4.5k 0.3× 10.6k 0.8× 23.6k 2.6× 4.1k 0.7× 326 49.2k
Susumu Tonegawa 25.7k 1.0× 5.9k 0.4× 16.6k 1.2× 25.7k 2.8× 3.9k 0.7× 343 70.2k
Paul Worley 19.4k 0.8× 4.2k 0.3× 8.0k 0.6× 21.3k 2.3× 3.3k 0.6× 273 37.1k
Pasko Rakić 26.3k 1.1× 4.4k 0.3× 13.3k 1.0× 25.3k 2.7× 3.1k 0.6× 364 62.7k

Countries citing papers authored by Daniel H. Geschwind

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Geschwind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel H. Geschwind. 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 Daniel H. Geschwind. The network helps show where Daniel H. Geschwind may publish in the future.

Co-authorship network of co-authors of Daniel H. Geschwind

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel H. Geschwind. A scholar is included among the top collaborators of Daniel H. Geschwind 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 Daniel H. Geschwind. Daniel H. Geschwind 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.
Cheng, Lijun, Jason Liu, Gaoyuan Wang, et al.. (2025). A map of enhancer regions in primary human neural progenitor cells using capture STARR-seq. Genome Research. 35(8). 1887–1901. 1 indexed citations
2.
Patel, Kunal, Riki Kawaguchi, Alvaro G. Alvarado, et al.. (2024). Single-nucleus expression characterization of non-enhancing region of recurrent high-grade glioma. Neuro-Oncology Advances. 6(1). vdae005–vdae005. 2 indexed citations
3.
Neuhaus, Emily, Catherine Sullivan, Raphael Bernier, et al.. (2024). A common genetic variant in the Neurexin family member CNTNAP2 is related to language but not communication skills in youth with Autism Spectrum Disorder. Autism Research. 18(5). 898–908. 1 indexed citations
4.
Kumar, Amit, Saravanan S. Karuppagounder, Yingxin Chen, et al.. (2023). 2-Deoxyglucose drives plasticity via an adaptive ER stress-ATF4 pathway and elicits stroke recovery and Alzheimer’s resilience. Neuron. 111(18). 2831–2846.e10. 30 indexed citations
5.
Alvarado, Alvaro G., Sree Deepthi Muthukrishnan, Riki Kawaguchi, et al.. (2022). Pathway-based Approach Reveals Differential Sensitivity to E2F1 Inhibition in Glioblastoma. Cancer Research Communications. 2(9). 1049–1060. 4 indexed citations
6.
Cooper, Yonatan A., Noam Teyssier, Nina M. Dräger, et al.. (2022). Functional regulatory variants implicate distinct transcriptional networks in dementia. Science. 377(6608). eabi8654–eabi8654. 54 indexed citations
7.
Birey, Fikri, Min-Yin Li, Aaron Gordon, et al.. (2022). Dissecting the molecular basis of human interneuron migration in forebrain assembloids from Timothy syndrome. Cell stem cell. 29(2). 248–264.e7. 91 indexed citations
8.
Peng, Minshi, et al.. (2021). Cell type hierarchy reconstruction via reconciliation of multi-resolution cluster tree. Nucleic Acids Research. 49(16). e91–e91. 15 indexed citations
9.
Lawrence, Katherine E., Leanna M. Hernandez, Allison Jack, et al.. (2020). Sex Differences in Functional Connectivity of the Salience, Default Mode, and Central Executive Networks in Youth with ASD. Cerebral Cortex. 30(9). 5107–5120. 54 indexed citations
10.
Page, Nicholas F., Michael J. Gandal, Myka L. Estes, et al.. (2020). Alterations in Retrotransposition, Synaptic Connectivity, and Myelination Implicated by Transcriptomic Changes Following Maternal Immune Activation in Nonhuman Primates. Biological Psychiatry. 89(9). 896–910. 25 indexed citations
11.
Wong, Chloe C. Y., Rebecca G. Smith, Eilís Hannon, et al.. (2019). Genome-wide DNA methylation profiling identifies convergent molecular signatures associated with idiopathic and syndromic autism in post-mortem human brain tissue. Human Molecular Genetics. 28(13). 2201–2211. 59 indexed citations
12.
Raznahan, Armin, Neelroop Parikshak, Jonathan D. Blumenthal, et al.. (2018). Sex-chromosome dosage effects on gene expression in humans. Proceedings of the National Academy of Sciences. 115(28). 7398–7403. 118 indexed citations
13.
Fan, Chun Chieh, John J. McGrath, Vivek Appadurai, et al.. (2018). Spatial fine-mapping for gene-by-environment effects identifies risk hot spots for schizophrenia. Nature Communications. 9(1). 5296–5296. 13 indexed citations
14.
Ercan, Ebru, Juliette M. Han, Alessia Di Nardo, et al.. (2017). Neuronal CTGF/CCN2 negatively regulates myelination in a mouse model of tuberous sclerosis complex. The Journal of Experimental Medicine. 214(3). 681–697. 78 indexed citations
15.
Prusiner, Stanley B., Amanda L. Woerman, Daniel A. Mordes, et al.. (2015). Evidence for α-synuclein prions causing multiple system atrophy in humans with parkinsonism. Proceedings of the National Academy of Sciences. 112(38). E5308–17. 542 indexed citations breakdown →
16.
Wexler, Eric, et al.. (2009). Endogenous Wnt Signaling Maintains Neural Progenitor Cell Potency. Stem Cells. 27(10). 2636–2636. 5 indexed citations
17.
Thomas, Elizabeth A., Giovanni Coppola, Paula Desplats, et al.. (2008). The HDAC inhibitor 4b ameliorates the disease phenotype and transcriptional abnormalities in Huntington's disease transgenic mice. Proceedings of the National Academy of Sciences. 105(40). 15564–15569. 233 indexed citations
18.
Zhao, Xiaoyue, Anthony Leotta, Vlad Kustanovich, et al.. (2007). A unified genetic theory for sporadic and inherited autism. Proceedings of the National Academy of Sciences. 104(31). 12831–12836. 223 indexed citations
19.
Oldham, Michael C., Steve Horvath, & Daniel H. Geschwind. (2006). Conservation and evolution of gene coexpression networks in human and chimpanzee brains. Proceedings of the National Academy of Sciences. 103(47). 17973–17978. 422 indexed citations
20.
Sun, Tao, Jane E. Visvader, Eleanor Y. M. Sum, et al.. (2005). Early Asymmetry of Gene Transcription in Embryonic Human Left and Right Cerebral Cortex. Science. 308(5729). 1794–1798. 264 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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