Feifei Wang
Impact in
- Developmental Neuroscience top 2%
- Biological Psychiatry top 5%
Papers in
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- Neuroscience and Neuropharmacology Research 21
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- Receptor Mechanisms and Signaling 17
- Co-authors
- Lan Ma (36 shared papers)Haowei Wang (15 shared papers)Takao Yasuhara (16 shared papers)Isao Date (15 shared papers)Mingliang Wang (10 shared papers)Akihiko Kondo (11 shared papers)Tanefumi Baba (10 shared papers)Dong Chen (8 shared papers)
- Journals
- Scientific Reports (10 papers)Fish & Shellfish Immunology (7 papers)Brain Research (5 papers)Biomedicine & Pharmacotherapy (5 papers)American Journal of Physiology-Renal Physiology (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Feifei Wang
339 papers receiving 7.7k citations
Feifei Wang's Hit Papers
Peers
Comparison fields: 5 of 178
- Developmental Neuroscience 289
- Biological Psychiatry 124
- Cellular and Molecular Neuroscience 964
- Neurology 375
- Behavioral Neuroscience 138
Countries citing papers authored by Feifei Wang
This map shows the geographic impact of Feifei Wang'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 Feifei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Wang more than expected).
Fields of papers citing papers by Feifei Wang
This network shows the impact of papers produced by Feifei Wang. 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 Feifei Wang. The network helps show where Feifei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 355 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 276 | |
| 2 | 2013 | 267 | |
| 3 | 2009 | 264 | |
| 4 | Emerging non-viral vectors for gene delivery Hit paper breakdown → | 2023 | 194 |
| 5 | 2011 | 144 | |
| 6 | 2013 | 143 | |
| 7 | 2010 | 136 | |
| 8 | 2009 | 124 | |
| 9 | 2013 | 108 | |
| 10 | 2011 | 107 | |
| 11 | 2013 | 106 | |
| 12 | 2012 | 104 | |
| 13 | 2015 | 95 | |
| 14 | 2004 | 86 | |
| 15 | 2021 | 85 | |
| 16 | 2020 | 83 | |
| 17 | 2010 | 81 | |
| 18 | 2019 | 81 | |
| 19 | 2008 | 76 | |
| 20 | 2011 | 72 |
About Feifei Wang
Feifei Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Immunology, Infectious Diseases and Epidemiology, having authored 355 papers that have together received 7.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (24 papers), Neuroscience and Neuropharmacology Research (21 papers), Receptor Mechanisms and Signaling (17 papers), Mycobacterium research and diagnosis (16 papers), Aluminum Alloys Composites Properties (15 papers), MicroRNA in disease regulation (14 papers), Tryptophan and brain disorders (12 papers) and Stress Responses and Cortisol (12 papers). The work is most often cited by research in Developmental Neuroscience (289 citations), Biological Psychiatry (124 citations), Cellular and Molecular Neuroscience (964 citations), Neurology (375 citations) and Behavioral Neuroscience (138 citations). Feifei Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lan Ma, Haowei Wang, Takao Yasuhara, Isao Date, Mingliang Wang, Akihiko Kondo, Tanefumi Baba, Dong Chen, Naiheng Ma and Masahiro Kameda. Their work appears in journals such as Scientific Reports, Fish & Shellfish Immunology, Brain Research, Biomedicine & Pharmacotherapy and American Journal of Physiology-Renal Physiology.
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.