Drew Adler
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
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- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 5
- Barrier Structure and Function Studies 1
- Amyotrophic Lateral Sclerosis Research 1
- Intracerebral and Subarachnoid Hemorrhage Research 1
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- Single-cell and spatial transcriptomics 1
- Bioinformatics and Genomic Networks 1
- Co-authors
- Kevin A. Guttenplan (2 shared papers)Maya K. Weigel (2 shared papers)Shane A. Liddelow (2 shared papers)Aaron D. Gitler (1 shared paper)Julien Couthouis (1 shared paper)Ben A. Barres (1 shared paper)Benjamin K. Stafford (1 shared paper)Andrew D. Huberman (1 shared paper)
- Journals
- Nature Communications (2 papers)Molecular Neurodegeneration (1 paper)iScience (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Drew Adler
4 papers receiving 386 citations
Peers
Comparison fields: 5 of 69
- Neurology 205
- Developmental Neuroscience 33
- Ophthalmology 62
- Neurology 94
- Biological Psychiatry 12
Countries citing papers authored by Drew Adler
This map shows the geographic impact of Drew Adler'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 Drew Adler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Drew Adler more than expected).
Fields of papers citing papers by Drew Adler
This network shows the impact of papers produced by Drew Adler. 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 Drew Adler. The network helps show where Drew Adler may publish in the future.
Co-authors
The 25 scholars most cited alongside Drew Adler, 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 | 2020 | 187 | |
| 2 | 2020 | 154 | |
| 3 | 2021 | 31 | |
| 4 | 2019 | 14 | |
| 5 | 2025 | 0 |
About Drew Adler
Drew Adler is a scholar working on Neurology, Molecular Biology, Neurology, Pediatrics, Perinatology and Child Health and Physiology, having authored 5 papers that have together received 386 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Single-cell and spatial transcriptomics (1 paper), Bioinformatics and Genomic Networks (1 paper), MicroRNA in disease regulation (1 paper), Alzheimer's disease research and treatments (1 paper), Barrier Structure and Function Studies (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). The work is most often cited by research in Neurology (205 citations), Developmental Neuroscience (33 citations), Ophthalmology (62 citations), Neurology (94 citations) and Biological Psychiatry (12 citations). Drew Adler has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kevin A. Guttenplan, Maya K. Weigel, Shane A. Liddelow, Aaron D. Gitler, Julien Couthouis, Ben A. Barres, Benjamin K. Stafford, Andrew D. Huberman, Alexandra E. Münch and Rana N. El‐Danaf. Their work appears in journals such as Nature Communications, Molecular Neurodegeneration, iScience and Cell Reports.
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.