Jeffrey K. Huang
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms 26
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 17
-
- Nerve injury and regeneration 9
- Axon Guidance and Neuronal Signaling 4
- Hereditary Neurological Disorders 3
-
- Multiple Sclerosis Research Studies 9
- Biological Psychiatry top 5%
-
- Retinoids in leukemia and cellular processes 5
- RNA Research and Splicing 3
- Co-authors
- David ColmanRobin J.M. FranklinLiliana PedrazaChao ZhaoChristophe KerninonCharles ffrench‐ConstantCatherine LubetzkiBrahim Nait‐Oumesmar
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Jeffrey K. Huang
56 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 114
- Developmental Neuroscience 1.1k
- Neurology 659
- Cellular and Molecular Neuroscience 949
- Pathology and Forensic Medicine 484
- Biological Psychiatry 64
Countries citing papers authored by Jeffrey K. Huang
This map shows the geographic impact of Jeffrey K. Huang'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 Jeffrey K. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey K. Huang more than expected).
Fields of papers citing papers by Jeffrey K. Huang
This network shows the impact of papers produced by Jeffrey K. Huang. 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 Jeffrey K. Huang. The network helps show where Jeffrey K. Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey K. Huang, 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 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 11 | |
| 8 | 2017 | 37 | |
| 9 | 2016 | 13 | |
| 10 | 2015 | 64 | |
| 11 | 2012 | 17 | |
| 12 | 2011 | 42 | |
| 13 | 2011 | 38 | |
| 14 | 2010 | 423 | |
| 15 | 2010 | 136 | |
| 16 | 2007 | 23 | |
| 17 | 2005 | 2 | |
| 18 | 2001 | 19 | |
| 19 | 2001 | 354 | |
| 20 | 1999 | 4 |
About Jeffrey K. Huang
Jeffrey K. Huang is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 58 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (26 papers), Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Multiple Sclerosis Research Studies (9 papers), Nerve injury and regeneration (9 papers), Retinoids in leukemia and cellular processes (5 papers), Axon Guidance and Neuronal Signaling (4 papers), Hereditary Neurological Disorders (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Developmental Neuroscience (1.1k citations), Neurology (659 citations) and Cellular and Molecular Neuroscience (949 citations). Jeffrey K. Huang has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include David Colman, Robin J.M. Franklin, Liliana Pedraza, Chao Zhao, Christophe Kerninon, Charles ffrench‐Constant, Catherine Lubetzki, Brahim Nait‐Oumesmar, Andrew A. Jarjour and Weisong Shan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.