Emma Gould

615 total citations
7 papers, 488 citations indexed

About

Emma Gould is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Emma Gould has authored 7 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Emma Gould's work include Genetics and Neurodevelopmental Disorders (7 papers), Autism Spectrum Disorder Research (4 papers) and Congenital heart defects research (1 paper). Emma Gould is often cited by papers focused on Genetics and Neurodevelopmental Disorders (7 papers), Autism Spectrum Disorder Research (4 papers) and Congenital heart defects research (1 paper). Emma Gould collaborates with scholars based in Australia, United States and Switzerland. Emma Gould's co-authors include Danuta Z. Loesch, Randi J. Hagerman, Richard Huggins, Flora Tassone, Stuart M. Armstrong, Marion Martin, Jim Grigsby, Paul J. Hagerman, David Hessl and Maureen A. Leehey and has published in prestigious journals such as Neuroscience & Biobehavioral Reviews, Movement Disorders and American Journal of Medical Genetics.

In The Last Decade

Emma Gould

7 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emma Gould Australia 7 450 292 252 52 44 7 488
Yingratana McLennan United States 11 401 0.9× 273 0.9× 269 1.1× 48 0.9× 18 0.4× 21 490
María Jimena Salcedo‐Arellano United States 13 551 1.2× 372 1.3× 356 1.4× 78 1.5× 17 0.4× 34 680
Jennifer Yuhas United States 8 397 0.9× 309 1.1× 209 0.8× 59 1.1× 32 0.7× 9 528
Carol Delahunty United States 8 588 1.3× 510 1.7× 270 1.1× 46 0.9× 65 1.5× 8 758
Amy K. Sullivan United States 7 756 1.7× 463 1.6× 352 1.4× 56 1.1× 12 0.3× 8 894
Corneliu Bodea United States 4 514 1.1× 563 1.9× 284 1.1× 21 0.4× 50 1.1× 5 809
Vlad Kustanovich United States 6 318 0.7× 366 1.3× 209 0.8× 66 1.3× 39 0.9× 6 701
S. L. Donnelly United States 7 549 1.2× 543 1.9× 229 0.9× 32 0.6× 41 0.9× 9 793
Latha Soorya United States 3 248 0.6× 189 0.6× 142 0.6× 19 0.4× 16 0.4× 3 329
Aimee Anido United States 7 397 0.9× 250 0.9× 271 1.1× 50 1.0× 12 0.3× 8 566

Countries citing papers authored by Emma Gould

Since Specialization
Citations

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

Fields of papers citing papers by Emma Gould

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Gould

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

All Works

7 of 7 papers shown
1.
Loesch, Danuta Z., David E. Godler, Mahmoud Shekari Khaniani, et al.. (2009). Linking the FMR1 alleles with small CGG expansions with neurodevelopmental disorders: Preliminary data suggest an involvement of epigenetic mechanisms. American Journal of Medical Genetics Part A. 149A(10). 2306–2310. 22 indexed citations
2.
Grigsby, Jim, Angela G. Brega, Maureen A. Leehey, et al.. (2007). Impairment of executive cognitive functioning in males with fragile X‐associated tremor/ataxia syndrome. Movement Disorders. 22(5). 645–650. 66 indexed citations
3.
Loesch, Danuta Z., L. Litewka, Andrew Churchyard, et al.. (2006). Tremor/ataxia syndrome and fragile X premutation: Diagnostic caveats. Journal of Clinical Neuroscience. 14(3). 245–248. 17 indexed citations
4.
Loesch, Danuta Z., Minh Bui, Cheryl Dissanayake, et al.. (2006). Molecular and cognitive predictors of the continuum of autistic behaviours in fragile X. Neuroscience & Biobehavioral Reviews. 31(3). 315–326. 110 indexed citations
5.
Hessl, David, Flora Tassone, Danuta Z. Loesch, et al.. (2005). Abnormal elevation ofFMR1mRNA is associated with psychological symptoms in individuals with the fragile X premutation. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 139B(1). 115–121. 184 indexed citations
6.
Gould, Emma, Danuta Z. Loesch, Marion Martin, et al.. (2000). Melatonin profiles and sleep characteristics in boys with fragile X syndrome: A preliminary study. American Journal of Medical Genetics. 95(4). 307–315. 79 indexed citations
7.
Gould, Emma, Danuta Z. Loesch, Marion Martin, et al.. (2000). Melatonin profiles and sleep characteristics in boys with fragile X syndrome: A preliminary study. American Journal of Medical Genetics. 95(4). 307–315. 10 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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