Anne Glicksman

2.1k total citations
18 papers, 1.1k citations indexed

About

Anne Glicksman is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Anne Glicksman has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 14 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Anne Glicksman's work include Genetics and Neurodevelopmental Disorders (18 papers), Autism Spectrum Disorder Research (14 papers) and Genomic variations and chromosomal abnormalities (11 papers). Anne Glicksman is often cited by papers focused on Genetics and Neurodevelopmental Disorders (18 papers), Autism Spectrum Disorder Research (14 papers) and Genomic variations and chromosomal abnormalities (11 papers). Anne Glicksman collaborates with scholars based in United States, Australia and United Kingdom. Anne Glicksman's co-authors include Sarah L. Nolin, Carl Dobkin, George E. Houck, W. Ted Brown, Stephanie L. Sherman, W. Ted Brown, Andrew G. Hadd, Gary J. Latham, James Macpherson and Allison E. Ashley‐Koch and has published in prestigious journals such as The American Journal of Human Genetics, Human Mutation and Genetics in Medicine.

In The Last Decade

Anne Glicksman

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Glicksman United States 14 1.0k 693 519 93 70 18 1.1k
Sarah L. Nolin United States 21 1.4k 1.4× 927 1.3× 833 1.6× 135 1.5× 70 1.0× 44 1.6k
George E. Houck United States 14 752 0.7× 456 0.7× 447 0.9× 62 0.7× 47 0.7× 26 909
Susan Harris United States 9 1.1k 1.1× 821 1.2× 595 1.1× 108 1.2× 101 1.4× 13 1.2k
Amy K. Sullivan United States 7 756 0.7× 463 0.7× 352 0.7× 56 0.6× 73 1.0× 8 894
Kristin Herman United States 7 371 0.4× 266 0.4× 270 0.5× 63 0.7× 35 0.5× 12 599
James Macpherson United Kingdom 11 570 0.6× 328 0.5× 303 0.6× 71 0.8× 24 0.3× 17 677
Ben A. Oostra Netherlands 11 1.4k 1.4× 758 1.1× 1.1k 2.0× 213 2.3× 34 0.5× 12 1.6k
Claire Hull United Kingdom 12 524 0.5× 397 0.6× 302 0.6× 42 0.5× 56 0.8× 15 671
Anthony Leotta United States 6 611 0.6× 490 0.7× 426 0.8× 37 0.4× 48 0.7× 8 907
Vlad Kustanovich United States 6 318 0.3× 366 0.5× 209 0.4× 66 0.7× 65 0.9× 6 701

Countries citing papers authored by Anne Glicksman

Since Specialization
Citations

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

Fields of papers citing papers by Anne Glicksman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Glicksman

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

All Works

18 of 18 papers shown
1.
Yrigollen, Carolyn M., Flora Tassone, Olatz Villate, et al.. (2024). FMR1 allelic complexity in premutation carriers provides no evidence for a correlation with age at amenorrhea. Reproductive Biology and Endocrinology. 22(1). 71–71. 1 indexed citations
2.
Allen, Emily G., Krista Charen, Heather S. Hipp, et al.. (2021). Refining the risk for fragile X–associated primary ovarian insufficiency (FXPOI) by FMR1 CGG repeat size. Genetics in Medicine. 23(9). 1648–1655. 31 indexed citations
3.
Nolin, Sarah L., Anne Glicksman, Emily G. Allen, et al.. (2019). Expansions and contractions of the FMR1 CGG repeat in 5,508 transmissions of normal, intermediate, and premutation alleles. American Journal of Medical Genetics Part A. 179(7). 1148–1156. 47 indexed citations
4.
Cohen, Yoram, Michal Berkenstadt, Elon Pras, et al.. (2018). Absence of AGG Interruptions Is a Risk Factor for Full Mutation Expansion Among Israeli FMR1 Premutation Carriers. Frontiers in Genetics. 9. 606–606. 13 indexed citations
5.
Allen, Emily G., Anne Glicksman, Krista Charen, et al.. (2018). FXPOI: Pattern of AGG Interruptions Does not Show an Association With Age at Amenorrhea Among Women With a Premutation. Frontiers in Genetics. 9. 292–292. 7 indexed citations
6.
Klusek, Jessica, Leonard Abbeduto, Tatyana Adayev, et al.. (2018). Curvilinear Association Between Language Disfluency and FMR1 CGG Repeat Size Across the Normal, Intermediate, and Premutation Range. Frontiers in Genetics. 9. 344–344. 26 indexed citations
7.
Kumari, Daman, Aditi Bhattacharya, Kristen Moulton, et al.. (2014). Identification of Fragile X Syndrome Specific Molecular Markers in Human Fibroblasts: A Useful Model to Test the Efficacy of Therapeutic Drugs. Human Mutation. 35(12). 1485–1494. 46 indexed citations
8.
Adayev, Tatyana, Giuseppe LaFauci, Carl Dobkin, et al.. (2014). Fragile X protein in newborn dried blood spots. BMC Medical Genetics. 15(1). 119–119. 15 indexed citations
9.
Nolin, Sarah L., Anne Glicksman, Carl Dobkin, et al.. (2014). Fragile X full mutation expansions are inhibited by one or more AGG interruptions in premutation carriers. Genetics in Medicine. 17(5). 358–364. 101 indexed citations
10.
Nolin, Sarah L., Sachin Sah, Anne Glicksman, et al.. (2013). Fragile X AGG analysis provides new risk predictions for 45–69 repeat alleles. American Journal of Medical Genetics Part A. 161(4). 771–778. 99 indexed citations
11.
Nolin, Sarah L., Anne Glicksman, Xiaohua Ding, et al.. (2011). Fragile X analysis of 1112 prenatal samples from 1991 to 2010. Prenatal Diagnosis. 31(10). 925–931. 77 indexed citations
12.
Nolin, Sarah L., W. Ted Brown, Anne Glicksman, et al.. (2003). Expansion of the Fragile X CGG Repeat in Females with Premutation or Intermediate Alleles. The American Journal of Human Genetics. 72(2). 454–464. 276 indexed citations
13.
Dobkin, Carl, et al.. (1999). Accelerated prenatal diagnosis of fragile X syndrome by polymerase chain reaction restriction fragment detection. American Journal of Medical Genetics. 83(4). 338–341. 6 indexed citations
14.
Ashley‐Koch, Allison E., Hazel M. Robinson, Anne Glicksman, et al.. (1998). Examination of Factors Associated with Instability of the FMR1 CGG Repeat. The American Journal of Human Genetics. 63(3). 776–785. 42 indexed citations
15.
Brown, W. Ted, Sarah L. Nolin, George E. Houck, et al.. (1996). Prenatal diagnosis and carrier screening for fragile X by PCR. American Journal of Medical Genetics. 64(1). 191–195. 54 indexed citations
16.
Brown, W. Ted, Sarah L. Nolin, George E. Houck, et al.. (1996). Prenatal diagnosis and carrier screening for fragile X by PCR. American Journal of Medical Genetics. 64(1). 191–195. 5 indexed citations
17.
Nolin, Sarah L., F A Lewis, George E. Houck, et al.. (1996). Familial transmission of the FMR1 CGG repeat.. PubMed. 59(6). 1252–61. 146 indexed citations
18.
Nolin, Sarah L., Anne Glicksman, George E. Houck, W. Ted Brown, & Carl Dobkin. (1994). Mosaicism in fragile X affected males. American Journal of Medical Genetics. 51(4). 509–512. 127 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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