Gloria Haskell

563 total citations
17 papers, 418 citations indexed

About

Gloria Haskell is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Gloria Haskell has authored 17 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Gloria Haskell's work include Prenatal Screening and Diagnostics (4 papers), Congenital heart defects research (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Gloria Haskell is often cited by papers focused on Prenatal Screening and Diagnostics (4 papers), Congenital heart defects research (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Gloria Haskell collaborates with scholars based in United States and United Kingdom. Gloria Haskell's co-authors include Anthony‐Samuel LaMantia, Thomas M. Maynard, Jeffrey A. Lieberman, Linmarie Sikich, Jonathan S. Berg, James P. Evans, Kirk C. Wilhelmsen, Karen E. Weck, Naina Bhasin and James M. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Gloria Haskell

14 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gloria Haskell United States 9 304 147 77 72 46 17 418
Jason Myers United States 13 483 1.6× 70 0.5× 55 0.7× 205 2.8× 32 0.7× 19 649
André W. Phillips United States 11 174 0.6× 55 0.4× 81 1.1× 88 1.2× 23 0.5× 20 385
Gui Zhang China 11 240 0.8× 35 0.2× 139 1.8× 70 1.0× 30 0.7× 26 509
Sharon W. Way United States 8 358 1.2× 104 0.7× 55 0.7× 76 1.1× 49 1.1× 9 627
Marcello Scala Italy 15 207 0.7× 178 1.2× 12 0.2× 53 0.7× 41 0.9× 61 513
Antonio Vitobello France 13 446 1.5× 212 1.4× 40 0.5× 79 1.1× 10 0.2× 36 595
Christopher Adams United States 11 373 1.2× 68 0.5× 30 0.4× 57 0.8× 31 0.7× 16 518
Laurie R. Earls United States 9 376 1.2× 97 0.7× 17 0.2× 143 2.0× 31 0.7× 12 488
Alysen Clark Canada 5 482 1.6× 47 0.3× 148 1.9× 70 1.0× 69 1.5× 6 662
Xuepei Lei China 11 274 0.9× 94 0.6× 72 0.9× 64 0.9× 16 0.3× 17 422

Countries citing papers authored by Gloria Haskell

Since Specialization
Citations

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

Fields of papers citing papers by Gloria Haskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gloria Haskell

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

All Works

17 of 17 papers shown
1.
Arreola, Alexandra, Gloria Haskell, Inder Gadi, Andrea Penton, & Stuart Schwartz. (2024). Utilization of a SNP microarray to detect uniparental disomy: Implications and outcomes. Genetics in Medicine. 26(12). 101275–101275.
2.
Haskell, Gloria, Alexandra Arreola, Christine M. Riordan, et al.. (2024). Prenatal detection of mosaicism for a genome wide uniparental disomy cell line in a cohort of patients: Implications and outcomes. Prenatal Diagnosis. 44(5). 586–594.
3.
Penton, Andrea, Peter Papenhausen, Stuart Schwartz, Tuan A. Vu, & Gloria Haskell. (2024). P140: A rare phenomenon: Double trisomy rescue detected during clinical SNP microarray testing*. SHILAP Revista de lepidopterología. 2. 101037–101037.
4.
Haskell, Gloria, et al.. (2023). P479: Mosaicism for genome wide homozygosity identified as an incidental finding in two healthy pregnant women*. SHILAP Revista de lepidopterología. 1(1). 100526–100526. 1 indexed citations
5.
Geiersbach, Katherine B., Hui Chen, Rajyasree Emmadi, et al.. (2020). Current concepts in breast cancer genomics: An evidence based review by the CGC breast cancer working group. Cancer Genetics. 244. 11–20. 5 indexed citations
6.
Haskell, Gloria, Mari Mori, Cynthia M. Powell, et al.. (2018). Combination of exome sequencing and immune testing confirms Aicardi–Goutières syndrome type 5 in a challenging pediatric neurology case. Molecular Case Studies. 4(5). a002758–a002758. 4 indexed citations
7.
Haskell, Gloria, Michael C. C. Adams, Zheng Fan, et al.. (2018). Diagnostic utility of exome sequencing in the evaluation of neuromuscular disorders. Neurology Genetics. 4(1). e212–e212. 32 indexed citations
8.
Mori, Mari, Gloria Haskell, Zoheb B. Kazi, et al.. (2017). Sensitivity of whole exome sequencing in detecting infantile- and late-onset Pompe disease. Molecular Genetics and Metabolism. 122(4). 189–197. 19 indexed citations
9.
Haskell, Gloria, Yajuan J. Liu, Hui Chen, et al.. (2017). Integrated Analysis of HER2 Copy Number by Cytogenomic Microarray in Breast Cancers With Nonclassical In Situ Hybridization Results. American Journal of Clinical Pathology. 149(2). 135–147. 4 indexed citations
10.
Haskell, Gloria, Brian C. Jensen, Cécile Skrzynia, et al.. (2017). Genetic Complexity of Mitral Valve Prolapse Revealed by Clinical and Genetic Evaluation of a Large Family.. PubMed. 26(5). 569–580. 3 indexed citations
11.
Haskell, Gloria, Brian C. Jensen, Leigh Ann Samsa, et al.. (2017). Whole Exome Sequencing Identifies Truncating Variants in Nuclear Envelope Genes in Patients With Cardiovascular Disease. Circulation Cardiovascular Genetics. 10(3). 29 indexed citations
12.
Tucker, Eric S., Gloria Haskell, Thomas M. Maynard, et al.. (2006). Limited influence of olanzapine on adult forebrain neural precursors in vitro. Neuroscience. 140(1). 111–122. 11 indexed citations
13.
Haskell, Gloria & Anthony‐Samuel LaMantia. (2005). Retinoic Acid Signaling Identifies a Distinct Precursor Population in the Developing and Adult Forebrain. Journal of Neuroscience. 25(33). 7636–7647. 73 indexed citations
14.
Maynard, Thomas M., et al.. (2003). A comprehensive analysis of 22q11 gene expression in the developing and adult brain. Proceedings of the National Academy of Sciences. 100(24). 14433–14438. 114 indexed citations
15.
Haskell, Gloria, et al.. (2002). Retinoic acid signaling at sites of plasticity in the mature central nervous system. The Journal of Comparative Neurology. 452(3). 228–241. 67 indexed citations
16.
Maynard, Thomas M., Gloria Haskell, Jeffrey A. Lieberman, & Anthony‐Samuel LaMantia. (2002). 22q11 DS: genomic mechanisms and gene function in DiGeorge/velocardiofacial syndrome. International Journal of Developmental Neuroscience. 20(3-5). 407–419. 36 indexed citations
17.
Maynard, Thomas M., Gloria Haskell, Naina Bhasin, et al.. (2002). RanBP1, a velocardiofacial/DiGeorge syndrome candidate gene, is expressed at sites of mesenchymal/epithelial induction. Mechanisms of Development. 111(1-2). 177–180. 20 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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