Thomas D. Glenn
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
- Axon Guidance and Neuronal Signaling
- Hereditary Neurological Disorders
Papers in
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- Epigenetics and DNA Methylation 2
- Pluripotent Stem Cells Research 2
- Signaling Pathways in Disease 2
- Hedgehog Signaling Pathway Studies 2
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- Nerve injury and regeneration 3
- Axon Guidance and Neuronal Signaling 2
- Hereditary Neurological Disorders 2
- Co-authors
- William S. Talbot (6 shared papers)Kelly R. Monk (1 shared paper)Claudia X. Dominguez (1 shared paper)Cecilia B. Moens (1 shared paper)Sara Mercurio (1 shared paper)Julie R. Perlin (1 shared paper)Adam M. Saunders (1 shared paper)Adrian Creanga (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Development (2 papers)Stem Cells Translational Medicine (1 paper)Developmental Biology (1 paper)Cell Transplantation (1 paper)
- Partner nations
- United StatesCzechiaJapan
In The Last Decade
Thomas D. Glenn
11 papers receiving 781 citations
Peers
Comparison fields: 5 of 71
- Developmental Neuroscience 168
- Cellular and Molecular Neuroscience 332
- Immunology and Allergy 54
- Cell Biology 117
- Neurology 56
Countries citing papers authored by Thomas D. Glenn
This map shows the geographic impact of Thomas D. Glenn'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 Thomas D. Glenn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas D. Glenn more than expected).
Fields of papers citing papers by Thomas D. Glenn
This network shows the impact of papers produced by Thomas D. Glenn. 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 Thomas D. Glenn. The network helps show where Thomas D. Glenn may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas D. Glenn, 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 | 2009 | 250 | |
| 2 | 2012 | 120 | |
| 3 | 2013 | 120 | |
| 4 | 2014 | 91 | |
| 5 | 2013 | 71 | |
| 6 | 2006 | 46 | |
| 7 | 2019 | 31 | |
| 8 | 2009 | 28 | |
| 9 | 2008 | 18 | |
| 10 | 2019 | 9 | |
| 11 | 2023 | 3 |
About Thomas D. Glenn
Thomas D. Glenn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Surgery and Genetics, having authored 11 papers that have together received 787 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Nerve injury and regeneration (3 papers), Epigenetics and DNA Methylation (2 papers), Pluripotent Stem Cells Research (2 papers), Signaling Pathways in Disease (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Hereditary Neurological Disorders (2 papers). The work is most often cited by research in Developmental Neuroscience (168 citations), Cellular and Molecular Neuroscience (332 citations), Immunology and Allergy (54 citations), Cell Biology (117 citations) and Neurology (56 citations). Thomas D. Glenn has collaborated with scholars based in United States, Czechia and Japan. Frequent co-authors include William S. Talbot, Kelly R. Monk, Claudia X. Dominguez, Cecilia B. Moens, Sara Mercurio, Julie R. Perlin, Adam M. Saunders, Adrian Creanga, Philip A. Beachy and Randall K. Mann. Their work appears in journals such as Journal of Neuroscience, Development, Stem Cells Translational Medicine, Developmental Biology and Cell Transplantation.
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.