Fengfa Huang
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Aging top 10%
Papers in
-
- Nerve injury and regeneration 10
- Neuroscience and Neural Engineering 1
-
- Spinal Cord Injury Research 9
- Co-authors
- William R. Markesbery (1 shared paper)Jeffrey N. Keller (1 shared paper)Eric G. Holmberg (10 shared papers)Shuxin Zhang (6 shared papers)Shuxin Zhang (4 shared papers)James W. Geddes (1 shared paper)Monte Gates (1 shared paper)Suzanne Doolen (1 shared paper)
- Journals
- Brain Research (2 papers)Journal of Neurotrauma (1 paper)Neuroscience (1 paper)Spinal Cord (1 paper)Journal of Neuropathology & Experimental Neurology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Fengfa Huang
13 papers receiving 420 citations
Peers
Comparison fields: 5 of 57
- Developmental Neuroscience 53
- Aging 22
- Cellular and Molecular Neuroscience 151
- Pathology and Forensic Medicine 124
- Cell Biology 112
Countries citing papers authored by Fengfa Huang
This map shows the geographic impact of Fengfa 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 Fengfa Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengfa Huang more than expected).
Fields of papers citing papers by Fengfa Huang
This network shows the impact of papers produced by Fengfa 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 Fengfa Huang. The network helps show where Fengfa Huang may publish in the future.
Co-authors
The 11 scholars most cited alongside Fengfa 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 | 2000 | 235 | |
| 2 | 2000 | 53 | |
| 3 | 2013 | 37 | |
| 4 | 2011 | 22 | |
| 5 | 2011 | 20 | |
| 6 | 2010 | 17 | |
| 7 | 2007 | 16 | |
| 8 | 2010 | 10 | |
| 9 | 2016 | 10 | |
| 10 | 2012 | 7 | |
| 11 | 2012 | 4 | |
| 12 | 2018 | 1 | |
| 13 | 2014 | 1 |
About Fengfa Huang
Fengfa Huang is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Neurology, Surgery and Neurology, having authored 13 papers that have together received 433 indexed citations. Recurring topics across this work include Nerve injury and regeneration (10 papers), Spinal Cord Injury Research (9 papers), Transcranial Magnetic Stimulation Studies (3 papers), Nerve Injury and Rehabilitation (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroscience and Neural Engineering (1 paper), Muscle activation and electromyography studies (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Developmental Neuroscience (53 citations), Aging (22 citations), Cellular and Molecular Neuroscience (151 citations), Pathology and Forensic Medicine (124 citations) and Cell Biology (112 citations). Fengfa Huang has collaborated with scholars based in United States and China. Frequent co-authors include William R. Markesbery, Jeffrey N. Keller, Eric G. Holmberg, Shuxin Zhang, Shuxin Zhang, James W. Geddes, Monte Gates, Suzanne Doolen, Xiaoyan Shen and Patrick D. Sarmiere. Their work appears in journals such as Brain Research, Journal of Neurotrauma, Neuroscience, Spinal Cord and Journal of Neuropathology & Experimental Neurology.
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.