Heechul Jun
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
Papers in
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- Neuroscience and Neuropharmacology Research 8
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- Neurogenesis and neuroplasticity mechanisms 9
- Co-authors
- Mi‐Hyeon Jang (10 shared papers)S. M. Qasim Hussaini (6 shared papers)Kei M. Igarashi (7 shared papers)Michael J. Rigby (1 shared paper)Chang Hoon Cho (5 shared papers)Shogo Soma (2 shared papers)Michael A. Bonaguidi (3 shared papers)Takaomi C. Saido (2 shared papers)
- Journals
- Cell stem cell (2 papers)Nature (2 papers)Journal of Visualized Experiments (2 papers)Frontiers in Systems Neuroscience (1 paper)Neuroscience & Biobehavioral Reviews (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Heechul Jun
17 papers receiving 748 citations
Peers
Comparison fields: 5 of 79
- Developmental Neuroscience 274
- Cellular and Molecular Neuroscience 291
- Neurology 110
- Biological Psychiatry 27
- Cognitive Neuroscience 171
Countries citing papers authored by Heechul Jun
This map shows the geographic impact of Heechul Jun'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 Heechul Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heechul Jun more than expected).
Fields of papers citing papers by Heechul Jun
This network shows the impact of papers produced by Heechul Jun. 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 Heechul Jun. The network helps show where Heechul Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Heechul Jun, 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 | 2013 | 160 | |
| 2 | 2012 | 90 | |
| 3 | 2021 | 84 | |
| 4 | 2020 | 79 | |
| 5 | 2014 | 69 | |
| 6 | 2021 | 67 | |
| 7 | 2011 | 50 | |
| 8 | 2018 | 31 | |
| 9 | 2017 | 31 | |
| 10 | 2015 | 24 | |
| 11 | 2013 | 21 | |
| 12 | 2015 | 12 | |
| 13 | 2022 | 9 | |
| 14 | 2013 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2024 | 4 | |
| 17 | 2021 | 3 |
About Heechul Jun
Heechul Jun is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Cognitive Neuroscience, Molecular Biology and Genetics, having authored 17 papers that have together received 751 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (7 papers), Genetics and Neurodevelopmental Disorders (4 papers), Alzheimer's disease research and treatments (2 papers), RNA Research and Splicing (2 papers), Microtubule and mitosis dynamics (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Developmental Neuroscience (274 citations), Cellular and Molecular Neuroscience (291 citations), Neurology (110 citations), Biological Psychiatry (27 citations) and Cognitive Neuroscience (171 citations). Heechul Jun has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Mi‐Hyeon Jang, S. M. Qasim Hussaini, Kei M. Igarashi, Michael J. Rigby, Chang Hoon Cho, Shogo Soma, Michael A. Bonaguidi, Takaomi C. Saido, Takashi Saito and Kimberly M. Christian. Their work appears in journals such as Cell stem cell, Nature, Journal of Visualized Experiments, Frontiers in Systems Neuroscience and Neuroscience & Biobehavioral Reviews.
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.