Clyde Francks

19.7k total citations
85 papers, 4.4k citations indexed

About

Clyde Francks is a scholar working on Cognitive Neuroscience, Genetics and Molecular Biology. According to data from OpenAlex, Clyde Francks has authored 85 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 48 papers in Genetics and 28 papers in Molecular Biology. Recurrent topics in Clyde Francks's work include Hemispheric Asymmetry in Neuroscience (35 papers), Genetics and Neurodevelopmental Disorders (28 papers) and Congenital heart defects research (15 papers). Clyde Francks is often cited by papers focused on Hemispheric Asymmetry in Neuroscience (35 papers), Genetics and Neurodevelopmental Disorders (28 papers) and Congenital heart defects research (15 papers). Clyde Francks collaborates with scholars based in Netherlands, United Kingdom and United States. Clyde Francks's co-authors include Simon E. Fisher, Anthony P. Monaco, I. Laurence MacPhie, Carolien G. F. de Kovel, Amaia Carrión-Castillo, John Stein, Angela J. Marlow, A.J. Richardson, Roel M. Willems and Pierandrea Muglia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Clyde Francks

83 papers receiving 4.3k citations

Peers

Clyde Francks

GENET

DEP

PMH

Stéphan Eliez Switzerland

Alan J. Lincoln United States

Susan M. Rivera United States

Fumiko Hoeft United States

Maricela Alarcón United States

Thomas L. Kemper United States

Cathy L. Barr Canada

Mônica Zilbovicius France

Silvia Paracchini United Kingdom

Greg Allen United States

Stéphan Eliez Switzerland

Clyde Francks

3.8k ×1.9

1.8k ×1.1

GENET

622 ×0.5

DEP

2.7k ×2.6

1.1k ×1.3

PMH

Citations per year, relative to Clyde Francks Clyde Francks (= 1×) peers Stéphan Eliez

Countries citing papers authored by Clyde Francks

Since Specialization

Citations

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

Fields of papers citing papers by Clyde Francks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clyde Francks

This figure shows the co-authorship network connecting the top 25 collaborators of Clyde Francks. A scholar is included among the top collaborators of Clyde Francks 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 Clyde Francks. Clyde Francks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Molz, Barbara, Else Eising, Dick Schijven, et al.. (2025). Evaluating the effects of archaic protein-altering variants in living human adults. Science Advances. 11(50). eads5703–eads5703.

Sha, Zhiqiang, Sabrina van Heukelum, Wilma D. J. van de Berg, et al.. (2024). The neocortical infrastructure for language involves region-specific patterns of laminar gene expression. Proceedings of the National Academy of Sciences. 121(34). e2401687121–e2401687121. 3 indexed citations

Postema, Merel C., Dick Schijven, Amaia Carrión-Castillo, et al.. (2024). Imaging genetics of language network functional connectivity reveals links with language-related abilities, dyslexia and handedness. Communications Biology. 7(1). 1209–1209. 3 indexed citations

Schijven, Dick, et al.. (2024). Exome-wide analysis implicates rare protein-altering variants in human handedness. Nature Communications. 15(1). 2632–2632. 9 indexed citations

Houwing, Danielle J., Jacob Ellegood, Andrew Silberfeld, et al.. (2024). The universe is asymmetric, the mouse brain too. Molecular Psychiatry. 30(2). 489–496. 5 indexed citations

Schijven, Dick, et al.. (2024). Distinct impact modes of polygenic disposition to dyslexia in the adult brain. Science Advances. 10(51). eadq2754–eadq2754. 1 indexed citations

Sha, Zhiqiang, Dick Schijven, Simon E. Fisher, & Clyde Francks. (2023). Genetic architecture of the white matter connectome of the human brain. Science Advances. 9(7). eadd2870–eadd2870. 22 indexed citations

Alagöz, Gökberk, Barbara Molz, Else Eising, et al.. (2022). Using neuroimaging genomics to investigate the evolution of human brain structure. Proceedings of the National Academy of Sciences. 119(40). e2200638119–e2200638119. 7 indexed citations

Postema, Merel C., Dick Schijven, Amaia Carrión-Castillo, et al.. (2021). Large-Scale Phenomic and Genomic Analysis of Brain Asymmetrical Skew. Cerebral Cortex. 31(9). 4151–4168. 28 indexed citations

10.

Carrión-Castillo, Amaia, Sara B. Estruch, Ben Maassen, et al.. (2021). Whole-genome sequencing identifies functional noncoding variation in SEMA3C that cosegregates with dyslexia in a multigenerational family. Human Genetics. 140(8). 1183–1200. 3 indexed citations

11.

Sha, Zhiqiang, Antonietta Pepe, Dick Schijven, et al.. (2021). Handedness and its genetic influences are associated with structural asymmetries of the cerebral cortex in 31,864 individuals. Proceedings of the National Academy of Sciences. 118(47). 66 indexed citations

12.

Guadalupe, Tulio, et al.. (2021). Relations between hemispheric asymmetries of grey matter and auditory processing of spoken syllables in 281 healthy adults. Brain Structure and Function. 227(2). 561–572. 6 indexed citations

13.

Sha, Zhiqiang, Dick Schijven, & Clyde Francks. (2021). Patterns of brain asymmetry associated with polygenic risks for autism and schizophrenia implicate language and executive functions but not brain masculinization. Molecular Psychiatry. 26(12). 7652–7660. 31 indexed citations

14.

Sha, Zhiqiang, Dick Schijven, Amaia Carrión-Castillo, et al.. (2021). The genetic architecture of structural left–right asymmetry of the human brain. Nature Human Behaviour. 5(9). 1226–1239. 71 indexed citations

15.

Kong, Xiangzhen, Nathalie Tzourio‐Mazoyer, Marc Joliot, et al.. (2020). Gene Expression Correlates of the Cortical Network Underlying Sentence Processing. SHILAP Revista de lepidopterología. 1(1). 77–103. 16 indexed citations

16.

Francks, Clyde. (2019). In search of the biological roots of typical and atypical human brain asymmetry. Physics of Life Reviews. 30. 22–24. 7 indexed citations

17.

Carrión-Castillo, Amaia, Antonietta Pepe, Simon E. Fisher, et al.. (2019). Genetic effects on planum temporale asymmetry and their limited relevance to neurodevelopmental disorders, intelligence or educational attainment. Cortex. 124. 137–153. 25 indexed citations

18.

Eising, Else, Amaia Carrión-Castillo, Arianna Vino, et al.. (2018). A set of regulatory genes co-expressed in embryonic human brain is implicated in disrupted speech development. Molecular Psychiatry. 24(7). 1065–1078. 109 indexed citations

19.

Hoischen, Alexander, Joris A. Veltman, Nuala H. Simpson, et al.. (2017). Next-generation DNA sequencing identifies novel gene variants and pathways involved in specific language impairment. Scientific Reports. 7(1). 46105–46105. 62 indexed citations

20.

Karlebach, Guy & Clyde Francks. (2015). Lateralization of gene expression in human language cortex. Cortex. 67. 30–36. 51 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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