Glenda M. Espinal
Impact in
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
Papers in
- Genetics 14
- Genetics and Neurodevelopmental Disorders 13
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- Autism Spectrum Disorder Research 5
- Co-authors
- Paul J. Hagerman (8 shared papers)Randi Jenssen Hagerman (11 shared papers)Flora Tassone (6 shared papers)Isaac N. Pessah (3 shared papers)Kyoungmi Kim (4 shared papers)Craig H. Warden (4 shared papers)Blythe P Durbin-Johnson (3 shared papers)Dalyir I. Pretto (1 shared paper)
- Journals
- Physiological Genomics (1 paper)Annals of the New York Academy of Sciences (1 paper)Frontiers in Genetics (1 paper)Brain Communications (1 paper)Molecular Brain (1 paper)
- Partner nations
- United StatesThailandColombia
In The Last Decade
Glenda M. Espinal
17 papers receiving 421 citations
Peers
Comparison fields: 5 of 59
- Genetics 303
- Cognitive Neuroscience 148
- Molecular Biology 226
- Cellular and Molecular Neuroscience 54
- Endocrine and Autonomic Systems 17
Countries citing papers authored by Glenda M. Espinal
This map shows the geographic impact of Glenda M. Espinal'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 Glenda M. Espinal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenda M. Espinal more than expected).
Fields of papers citing papers by Glenda M. Espinal
This network shows the impact of papers produced by Glenda M. Espinal. 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 Glenda M. Espinal. The network helps show where Glenda M. Espinal may publish in the future.
Co-authors
The 25 scholars most cited alongside Glenda M. Espinal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 87 | |
| 2 | 2019 | 61 | |
| 3 | 2019 | 57 | |
| 4 | 2017 | 51 | |
| 5 | 2017 | 49 | |
| 6 | 2007 | 29 | |
| 7 | 2009 | 20 | |
| 8 | 2004 | 19 | |
| 9 | 2021 | 15 | |
| 10 | 2017 | 14 | |
| 11 | 2000 | 7 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2009 | 3 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2025 | 0 |
About Glenda M. Espinal
Glenda M. Espinal is a scholar working on Genetics, Cognitive Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Clinical Biochemistry, having authored 18 papers that have together received 426 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (13 papers), Autism Spectrum Disorder Research (5 papers), Mitochondrial Function and Pathology (2 papers), Ubiquitin and proteasome pathways (2 papers), Sphingolipid Metabolism and Signaling (1 paper), Pancreatic function and diabetes (1 paper), Lipid metabolism and biosynthesis (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Genetics (303 citations), Cognitive Neuroscience (148 citations), Molecular Biology (226 citations), Cellular and Molecular Neuroscience (54 citations) and Endocrine and Autonomic Systems (17 citations). Glenda M. Espinal has collaborated with scholars based in United States, Thailand and Colombia. Frequent co-authors include Paul J. Hagerman, Randi Jenssen Hagerman, Flora Tassone, Isaac N. Pessah, Kyoungmi Kim, Craig H. Warden, Blythe P Durbin-Johnson, Dalyir I. Pretto, Susan Hulsizer and Sally Chiu. Their work appears in journals such as Physiological Genomics, Annals of the New York Academy of Sciences, Frontiers in Genetics, Brain Communications and Molecular Brain.
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.