Helen Hsieh
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- Neuroscience and Neuropharmacology Research 6
- Physiology top 1%
- Alzheimer's disease research and treatments 2
- Biological Psychiatry top 5%
- Neurology top 2%
- Pharmacology top 2%
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- Memory and Neural Mechanisms 3
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- Advanced Biosensing Techniques and Applications 3
- Receptor Mechanisms and Signaling 3
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- Monoclonal and Polyclonal Antibodies Research 3
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- Infant Nutrition and Health 2
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- Click Chemistry and Applications 1
- Co-authors
- Roberto MalinowTakeshi IwatsuboSangram S. SisodiaTaisuke TomitaDavid BorcheltGuy R. SeabrookJannic BoehmChihiro Sato
- Partner nations
- United StatesJapanCanada
In The Last Decade
Helen Hsieh
15 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cellular and Molecular Neuroscience 1.3k
- Physiology 1.7k
- Biological Psychiatry 107
- Neurology 326
- Pharmacology 486
Countries citing papers authored by Helen Hsieh
This map shows the geographic impact of Helen Hsieh'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 Helen Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Hsieh more than expected).
Fields of papers citing papers by Helen Hsieh
This network shows the impact of papers produced by Helen Hsieh. 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 Helen Hsieh. The network helps show where Helen Hsieh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Helen Hsieh, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 0 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 0 | |
| 9 | 2018 | 12 | |
| 10 | 2013 | 29 | |
| 11 | AMPAR Removal Underlies Aβ-Induced Synaptic Depression and Dendritic Spine Lossbreakdown → | 2006 | 865 |
| 12 | 2006 | 18 | |
| 13 | APP Processing and Synaptic Functionbreakdown → | 2003 | 1292 |
| 14 | 2003 | 112 | |
| 15 | 1995 | 24 | |
| 16 | 1994 | 22 | |
| 17 | 1993 | 59 | |
| 18 | 1992 | 17 |
About Helen Hsieh
Helen Hsieh is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Emergency Medicine, having authored 18 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Receptor Mechanisms and Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Alzheimer's disease research and treatments (2 papers), Infant Nutrition and Health (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Physiology (1.7k citations) and Biological Psychiatry (107 citations). Helen Hsieh has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Roberto Malinow, Takeshi Iwatsubo, Sangram S. Sisodia, Taisuke Tomita, David Borchelt, Guy R. Seabrook, Jannic Boehm, Chihiro Sato, Douglas B. Sherman and J. Bruce Pitner. Their work appears in journals such as Biochemistry, Neuron, Journal of Neurophysiology, Brain Research and Journal of Surgical Research.
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.