Heather R. Glatt-Deeley

602 citations
10 papers · 433 indexed · h-index 7

Heather R. Glatt-Deeley

10 papers receiving 427 citations

Peers

Heather R. Glatt-Deeley
Comparison fields: 5 of 51
  • Aging 53
  • Genetics 244
  • Molecular Biology 319
  • Pediatrics, Perinatology and Child Health 73
  • Endocrine and Autonomic Systems 21
Replace Joseph T. Alaimo with:
Joseph T. Alaimo United States
Huiqian Chen China
Susan M. Hiatt United States
Ábel Vértesy Austria
Frédéric Torès France
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Samir Vaid Germany
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Heather R. Glatt-Deeley relative to Joseph T. Alaimo United States Joseph T. Alaimo's profile →
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Citations per year

Countries citing papers authored by Heather R. Glatt-Deeley

Since Specialization
Citations

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

Fields of papers citing papers by Heather R. Glatt-Deeley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather R. Glatt-Deeley. 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 Heather R. Glatt-Deeley. The network helps show where Heather R. Glatt-Deeley may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Heather R. Glatt-Deeley, 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 Heather R. Glatt-Deeley Line = papers co-authored together Heather R. Glatt-Deeley links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20243
2 202211
3 202012
4 201730
5 20143
6 201475
7 201353
8 200594
9 20041
10 1999151

About Heather R. Glatt-Deeley

Heather R. Glatt-Deeley is a scholar working on Aging, Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health and Pathology and Forensic Medicine, having authored 10 papers that have together received 433 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Epigenetics and DNA Methylation (5 papers), Prenatal Screening and Diagnostics (2 papers), Congenital heart defects research (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Down syndrome and intellectual disability research (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Aging (53 citations), Genetics (244 citations), Molecular Biology (319 citations), Pediatrics, Perinatology and Child Health (73 citations) and Endocrine and Autonomic Systems (21 citations). Heather R. Glatt-Deeley has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Nathalie Roëckel, Françoise Muscatelli, Irène Boccaccio, M. Lalande, Françoise Watrin, Johannes H. Bauer, Stephen L. Helfand, John Abrams, Marc Lalande and Stormy J. Chamberlain. Their work appears in journals such as Human Molecular Genetics, Experimental Cell Research, Molecular Autism, Current Biology and Proceedings of the National Academy of Sciences.

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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