Feifei Wang
Impact in
- Developmental Neuroscience top 5%
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 25
-
- RNA Interference and Gene Delivery 7
- Co-authors
- Lan Ma (36 shared papers)Takao Yasuhara (16 shared papers)Haowei Wang (10 shared papers)Isao Date (15 shared papers)Akihiko Kondo (11 shared papers)Dong Chen (6 shared papers)Naiheng Ma (4 shared papers)Tanefumi Baba (10 shared papers)
- Journals
- Scientific Reports (10 papers)Fish & Shellfish Immunology (7 papers)American Journal of Physiology-Renal Physiology (5 papers)Biomedicine & Pharmacotherapy (5 papers)PLoS ONE (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Feifei Wang
333 papers receiving 7.6k citations
Feifei Wang's Hit Papers
Peers
Comparison fields: 5 of 131
- Developmental Neuroscience 111
- Infectious Diseases 524
- Cancer Research 258
- Neurology 281
- Neurology 115
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 349 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 281 | |
| 2 | 2013 | 267 | |
| 3 | 2009 | 265 | |
| 4 | Emerging non-viral vectors for gene delivery Hit paper breakdown → | 2023 | 201 |
| 5 | 2011 | 146 | |
| 6 | 2013 | 144 | |
| 7 | 2010 | 137 | |
| 8 | 2009 | 124 | |
| 9 | 2013 | 111 | |
| 10 | 2013 | 108 | |
| 11 | 2011 | 106 | |
| 12 | 2012 | 105 | |
| 13 | 2015 | 96 | |
| 14 | 2021 | 94 | |
| 15 | 2019 | 86 | |
| 16 | 2020 | 85 | |
| 17 | 2010 | 81 | |
| 18 | 2008 | 77 | |
| 19 | 2011 | 75 | |
| 20 | 2009 | 73 |
About Feifei Wang
Feifei Wang is a scholar working on Infectious Diseases, Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Plant Science, having authored 349 papers that have together received 7.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (25 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Memory and Neural Mechanisms (9 papers), RNA Interference and Gene Delivery (7 papers), MicroRNA in disease regulation (7 papers), Plant Stress Responses and Tolerance (6 papers), Fatigue and fracture mechanics (6 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). The work is most often cited by research in Developmental Neuroscience (111 citations), Infectious Diseases (524 citations), Cancer Research (258 citations), Neurology (281 citations) and Neurology (115 citations). Feifei Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lan Ma, Takao Yasuhara, Haowei Wang, Isao Date, Akihiko Kondo, Dong Chen, Naiheng Ma, Tanefumi Baba, Masahiro Kameda and Naoki Tajiri. Their work appears in journals such as Scientific Reports, Fish & Shellfish Immunology, American Journal of Physiology-Renal Physiology, Biomedicine & Pharmacotherapy and PLoS ONE.
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.