Mary E. Hatten
- Developmental Neuroscience top 0.02%
- Neurogenesis and neuroplasticity mechanisms 42
- Cellular and Molecular Neuroscience top 0.1%
- Axon Guidance and Neuronal Signaling 14
- Neuroscience and Neuropharmacology Research 12
- Neurology top 0.5%
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics 10
- Molecular Biology top 0.5%
- Developmental Biology and Gene Regulation 15
- Epigenetics and DNA Methylation 9
- RNA Research and Splicing 9
- Hedgehog Signaling Pathway Studies 8
- Co-authors
- Nathaniel HeintzShiaoching GongMartin L. DoughtyRonald K.H. LiemCarol A. MasonWei‐Qiang GaoLei FengToshifumi Tomoda
- Journals
- Proceedings of the National Academy of Sciences (11 papers)Neuron (7 papers)The Journal of Cell Biology (7 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Mary E. Hatten
92 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Developmental Neuroscience 4.1k
- Cellular and Molecular Neuroscience 5.3k
- Neurology 1.2k
- Cell Biology 1.9k
- Molecular Biology 7.4k
Countries citing papers authored by Mary E. Hatten
This map shows the geographic impact of Mary E. Hatten'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 Mary E. Hatten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary E. Hatten more than expected).
Fields of papers citing papers by Mary E. Hatten
This network shows the impact of papers produced by Mary E. Hatten. 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 Mary E. Hatten. The network helps show where Mary E. Hatten may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mary E. Hatten, 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 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 15 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 27 | |
| 7 | 2019 | 22 | |
| 8 | 2018 | 19 | |
| 9 | 2018 | 31 | |
| 10 | 2018 | 34 | |
| 11 | 2015 | 54 | |
| 12 | 2011 | 154 | |
| 13 | 2007 | 102 | |
| 14 | 2004 | 144 | |
| 15 | 1997 | 175 | |
| 16 | 1997 | 20 | |
| 17 | 1996 | 170 | |
| 18 | 1996 | 187 | |
| 19 | 1991 | 227 | |
| 20 | 1984 | 22 |
About Mary E. Hatten
Mary E. Hatten is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology, Cell Biology and Aging, having authored 92 papers that have together received 12.7k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (42 papers), Developmental Biology and Gene Regulation (15 papers), Axon Guidance and Neuronal Signaling (14 papers), Neuroscience and Neuropharmacology Research (12 papers), Microtubule and mitosis dynamics (10 papers), Epigenetics and DNA Methylation (9 papers), RNA Research and Splicing (9 papers) and Hedgehog Signaling Pathway Studies (8 papers). The work is most often cited by research in Developmental Neuroscience (4.1k citations), Cellular and Molecular Neuroscience (5.3k citations), Neurology (1.2k citations), Cell Biology (1.9k citations) and Molecular Biology (7.4k citations). Mary E. Hatten has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Nathaniel Heintz, Shiaoching Gong, Martin L. Doughty, Ronald K.H. Liem, Carol A. Mason, Wei‐Qiang Gao, Lei Feng, Toshifumi Tomoda, Martine F. Roussel and Zheng Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron, The Journal of Cell Biology, Genes & Development and Development.
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.