Gloria Haskell

574 citations
16 papers · 454 · h-index 9

Impact in

    • Neurogenesis and neuroplasticity mechanisms
    • Genetics and Neurodevelopmental Disorders
    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases

Papers in

Gloria Haskell

13 papers receiving 433 citations

Peers

Gloria Haskell
Comparison fields: 5 of 59
  • Developmental Neuroscience 83
  • Genetics 137
  • Molecular Biology 304
  • Cellular and Molecular Neuroscience 71
  • Sensory Systems 15
Replace Stéphanie Boutillier with:
Stéphanie Boutillier France
Xuepei Lei China
Mette Grønborg Denmark
Elena Langa Ireland
Ling‐Jia Hu France
Dimitrios Bourikas Germany
Silvia Medrano United States
Seita Hagino Japan
Elżbieta Szczepanik Poland
Mart Saarma Finland
Gloria Haskell relative to Stéphanie Boutillier France Stéphanie Boutillier's profile →
Citations per field
00.5×2×3×3.8×
Stéphanie Boutillier · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Gloria Haskell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gloria Haskell Line = papers co-authored together Gloria Haskell links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2003124
2 200578
3 200268
4 201842
5 200241
6 201732
7 200221
8 201720
9 200613
10 20207
11 20174
12
Genetic Complexity of Mitral Valve Prolapse Revealed by Clinical and Genetic Evaluation of a Large Family.
20173
13 20231
14 20240
15 20240
16 20240

About Gloria Haskell

Gloria Haskell is a scholar working on Developmental Neuroscience, Cancer Research, Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 454 indexed citations. Recurring topics across this work include Congenital heart defects research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Prenatal Screening and Diagnostics (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cancer-related molecular mechanisms research (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Reproductive System and Pregnancy (2 papers) and Coronary Artery Anomalies (1 paper). The work is most often cited by research in Developmental Neuroscience (83 citations), Genetics (137 citations), Molecular Biology (304 citations), Cellular and Molecular Neuroscience (71 citations) and Sensory Systems (15 citations). Gloria Haskell has collaborated with scholars based in United States. Frequent co-authors include Anthony‐Samuel LaMantia, Thomas Michael Maynard, Jeffrey Alan Lieberman, Linmarie Sikich, Christian R. Tilley, Karen E. Weck, James P. Evans, Kirk C. Wilhelmsen, Jonathan S. Berg and Andrew Gassman. Their work appears in journals such as Neuroscience, Prenatal Diagnosis, Proceedings of the National Academy of Sciences, Journal of Neuroscience and Genetics in Medicine.

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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