Sarah M. Neuner
- Biological Psychiatry top 10%
- Tryptophan and brain disorders 3
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms 4
- Sensory Systems top 10%
- Physiology top 10%
- Alzheimer's disease research and treatments 11
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- Neuroscience and Neuropharmacology Research 6
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- Bioinformatics and Genomic Networks 4
- Epigenetics and DNA Methylation 2
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- Computational Drug Discovery Methods 2
- Co-authors
- Catherine C. KaczorowskiKristen M.S. O’ConnellSarah E. HeuerAlison GoateMatthew J. HuentelmanJulia TCWBrian HoffmannKhyobeni Mozhui
- Cited by
- Biological PsychiatryNeurologyAging
- Journals
- Behavioural Brain Research (3 papers)Genes Brain & Behavior (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Sarah M. Neuner
21 papers receiving 718 citations
Peers
Comparison fields: 5 of 89
- Biological Psychiatry 59
- Neurology 139
- Aging 29
- Sensory Systems 51
- Physiology 269
Countries citing papers authored by Sarah M. Neuner
This map shows the geographic impact of Sarah M. Neuner'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 Sarah M. Neuner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah M. Neuner more than expected).
Fields of papers citing papers by Sarah M. Neuner
This network shows the impact of papers produced by Sarah M. Neuner. 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 Sarah M. Neuner. The network helps show where Sarah M. Neuner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarah M. Neuner, 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 | 2024 | 1 | |
| 2 | 2022 | 41 | |
| 3 | 2022 | 34 | |
| 4 | 2021 | 37 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 74 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 1 | |
| 9 | 2019 | 12 | |
| 10 | 2019 | 20 | |
| 11 | 2019 | 38 | |
| 12 | 2018 | 12 | |
| 13 | 2018 | 13 | |
| 14 | 2018 | 131 | |
| 15 | 2017 | 2 | |
| 16 | 2016 | 26 | |
| 17 | 2016 | 73 | |
| 18 | 2015 | 2 | |
| 19 | 2014 | 47 | |
| 20 | 2009 | 125 |
About Sarah M. Neuner
Sarah M. Neuner is a scholar working on Aging, Biological Psychiatry and Neurology, having authored 21 papers that have together received 721 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Bioinformatics and Genomic Networks (4 papers), Tryptophan and brain disorders (3 papers), Computational Drug Discovery Methods (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Biological Psychiatry (59 citations), Neurology (139 citations) and Aging (29 citations). Sarah M. Neuner has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Catherine C. Kaczorowski, Kristen M.S. O’Connell, Sarah E. Heuer, Alison Goate, Matthew J. Huentelman, Julia TCW, Brian Hoffmann, Khyobeni Mozhui, Timothy J. Hohman and Angela Schmid. Their work appears in journals such as Behavioural Brain Research, Genes Brain & Behavior, Frontiers in Genetics, Neurobiology of Disease and Alzheimer s & Dementia.
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.