Charles A. Hoeffer
- Biological Psychiatry top 0.5%
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- Neuroscience and Neuropharmacology Research 14
- Neurobiology and Insect Physiology Research 3
- Behavioral Neuroscience top 2%
- Developmental Neuroscience top 2%
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 7
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- Genetics and Neurodevelopmental Disorders 13
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- Receptor Mechanisms and Signaling 9
- Signaling Pathways in Disease 8
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- Alzheimer's disease research and treatments 7
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- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Eric KlannHelen WongGloria B. ChoiSangwon V. KimHyunju KimJun R. HuhDan R. LittmanYeong Shin Yim
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Charles A. Hoeffer
46 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Biological Psychiatry 487
- Cellular and Molecular Neuroscience 1.4k
- Behavioral Neuroscience 205
- Developmental Neuroscience 236
- Neurology 466
Countries citing papers authored by Charles A. Hoeffer
This map shows the geographic impact of Charles A. Hoeffer'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 Charles A. Hoeffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles A. Hoeffer more than expected).
Fields of papers citing papers by Charles A. Hoeffer
This network shows the impact of papers produced by Charles A. Hoeffer. 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 Charles A. Hoeffer. The network helps show where Charles A. Hoeffer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charles A. Hoeffer, 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 | 2023 | 8 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 11 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 19 | |
| 8 | 2017 | 78 | |
| 9 | 2017 | 29 | |
| 10 | The maternal interleukin-17a pathway in mice promotes autism-like phenotypes in offspringbreakdown → | 2016 | 861 |
| 11 | 2015 | 57 | |
| 12 | 2013 | 99 | |
| 13 | 2012 | 153 | |
| 14 | 2012 | 16 | |
| 15 | 2010 | 438 | |
| 16 | 2010 | 115 | |
| 17 | 2008 | 115 | |
| 18 | 2008 | 180 | |
| 19 | 2007 | 93 | |
| 20 | 2002 | 150 |
About Charles A. Hoeffer
Charles A. Hoeffer is a scholar working on Cellular and Molecular Neuroscience, Neurology and Genetics, having authored 48 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Genetics and Neurodevelopmental Disorders (13 papers), Receptor Mechanisms and Signaling (9 papers), Signaling Pathways in Disease (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Alzheimer's disease research and treatments (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Biological Psychiatry (487 citations), Cellular and Molecular Neuroscience (1.4k citations) and Behavioral Neuroscience (205 citations). Charles A. Hoeffer has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Eric Klann, Helen Wong, Gloria B. Choi, Sangwon V. Kim, Hyunju Kim, Jun R. Huh, Dan R. Littman, Yeong Shin Yim, R. Suzanne Zukin and Yukihiro Takayasu. Their work appears in journals such as Journal of Neuroscience, Neuron, Learning & Memory, Proceedings of the National Academy of Sciences and Neurobiology of Learning and Memory.
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.