Jenny Hsieh
- Developmental Neuroscience top 0.05%
- Neurogenesis and neuroplasticity mechanisms 36
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- Neuroscience and Neuropharmacology Research 10
- Neurology top 1%
- Molecular Biology top 2%
- Epigenetics and DNA Methylation 18
- Pluripotent Stem Cells Research 10
- Histone Deacetylase Inhibitors Research 9
- CRISPR and Genetic Engineering 5
- Cancer Research top 2%
- MicroRNA in disease regulation 4
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- Genetics and Neurodevelopmental Disorders 22
- Co-authors
- Fred H. GageKinichi NakashimaTomoko KuwabaraAmelia J. EischKerstin UreEric N. OlsonZhengliang GaoRusty L. Montgomery
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Jenny Hsieh
62 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Developmental Neuroscience 2.6k
- Cellular and Molecular Neuroscience 1.6k
- Neurology 563
- Molecular Biology 3.9k
- Cancer Research 816
Countries citing papers authored by Jenny Hsieh
This map shows the geographic impact of Jenny 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 Jenny Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenny Hsieh more than expected).
Fields of papers citing papers by Jenny Hsieh
This network shows the impact of papers produced by Jenny 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 Jenny Hsieh. The network helps show where Jenny Hsieh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jenny 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 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 12 | |
| 4 | 2020 | 25 | |
| 5 | 2019 | 14 | |
| 6 | 2017 | 30 | |
| 7 | 2017 | 79 | |
| 8 | 2017 | 20 | |
| 9 | 2016 | 47 | |
| 10 | 2016 | 48 | |
| 11 | 2016 | 52 | |
| 12 | 2015 | 322 | |
| 13 | 2014 | 66 | |
| 14 | 2010 | 165 | |
| 15 | 2009 | 360 | |
| 16 | 2009 | 458 | |
| 17 | Wnt-mediated activation of NeuroD1 and retro-elements during adult neurogenesisbreakdown → | 2009 | 505 |
| 18 | 2007 | 269 | |
| 19 | 2005 | 175 | |
| 20 | 2004 | 335 |
About Jenny Hsieh
Jenny Hsieh is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 64 papers that have together received 6.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (36 papers), Genetics and Neurodevelopmental Disorders (22 papers), Epigenetics and DNA Methylation (18 papers), Pluripotent Stem Cells Research (10 papers), Neuroscience and Neuropharmacology Research (10 papers), Histone Deacetylase Inhibitors Research (9 papers), CRISPR and Genetic Engineering (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Developmental Neuroscience (2.6k citations), Cellular and Molecular Neuroscience (1.6k citations) and Neurology (563 citations). Jenny Hsieh has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Fred H. Gage, Kinichi Nakashima, Tomoko Kuwabara, Amelia J. Eisch, Kerstin Ure, Eric N. Olson, Zhengliang Gao, Rusty L. Montgomery, Kazunari Taira and Jessica L. Ables. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.