Fen-Ni Fu
Impact in
- Neurology top 10%
- Botulinum Toxin and Related Neurological Disorders
- Neurological disorders and treatments
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Botulinum Toxin and Related Neurological Disorders 6
- Neurological disorders and treatments 4
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- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 4
- Co-authors
- Bal Ram Singh (8 shared papers)Daniel B. DeOliveira (2 shared papers)Hemanta K. Sarkar (1 shared paper)William R. Trumble (1 shared paper)Michael P. Fuller (2 shared papers)Shashi K. Sharma (1 shared paper)Takashi Kishimoto (4 shared papers)Conlin P. O’Neil (3 shared papers)
- Journals
- Applied Spectroscopy (2 papers)Biophysical Chemistry (1 paper)PLoS ONE (1 paper)Journal of Autoimmunity (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesSaudi Arabia
In The Last Decade
Fen-Ni Fu
14 papers receiving 599 citations
Peers
Comparison fields: 5 of 98
- Neurology 133
- Immunology 127
- Biomaterials 64
- Biophysics 24
- Cellular and Molecular Neuroscience 73
Countries citing papers authored by Fen-Ni Fu
This map shows the geographic impact of Fen-Ni Fu'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 Fen-Ni Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen-Ni Fu more than expected).
Fields of papers citing papers by Fen-Ni Fu
This network shows the impact of papers produced by Fen-Ni Fu. 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 Fen-Ni Fu. The network helps show where Fen-Ni Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen-Ni Fu, 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 | 2016 | 169 | |
| 2 | 1994 | 157 | |
| 3 | 1993 | 79 | |
| 4 | 1998 | 46 | |
| 5 | 1998 | 44 | |
| 6 | 1999 | 26 | |
| 7 | 1993 | 24 | |
| 8 | 2018 | 18 | |
| 9 | 2002 | 18 | |
| 10 | 2023 | 16 | |
| 11 | 1999 | 9 | |
| 12 | Donor pretreatment with FLT-3 ligand augments anti-donor CTL, NK and LAK cell activities within liver allografts and alters the pattern of intragraft apoptotic activity | 1998 | 4 |
| 13 | 2015 | 1 | |
| 14 | 1996 | 1 |
About Fen-Ni Fu
Fen-Ni Fu is a scholar working on Neurology, Immunology, Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 612 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (6 papers), Neurological disorders and treatments (4 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers), Protein Structure and Dynamics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Hereditary Neurological Disorders (2 papers) and Protein purification and stability (1 paper). The work is most often cited by research in Neurology (133 citations), Immunology (127 citations), Biomaterials (64 citations), Biophysics (24 citations) and Cellular and Molecular Neuroscience (73 citations). Fen-Ni Fu has collaborated with scholars based in United States and Saudi Arabia. Frequent co-authors include Bal Ram Singh, Daniel B. DeOliveira, Hemanta K. Sarkar, William R. Trumble, Michael P. Fuller, Shashi K. Sharma, Takashi Kishimoto, Conlin P. O’Neil, Lloyd Johnston and Shuowei Cai. Their work appears in journals such as Applied Spectroscopy, Biophysical Chemistry, PLoS ONE, Journal of Autoimmunity and The Journal of Immunology.
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.