Fan‐Yan Wei
Impact in
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Mitochondrial Function and Pathology
- Cancer-related gene regulation
- RNA Interference and Gene Delivery
- Cell Biology top 2%
Papers in
-
- RNA modifications and cancer 39
- RNA and protein synthesis mechanisms 15
- Mitochondrial Function and Pathology 15
- RNA Research and Splicing 9
- Cancer-related gene regulation 7
- RNA Interference and Gene Delivery 6
- Cell Biology 15
- Co-authors
- Kazuhito Tomizawa (74 shared papers)Hideki Matsui (17 shared papers)Masayuki Matsushita (9 shared papers)Taku Kaitsuka (17 shared papers)Yun-Fei Lu (6 shared papers)Tsutomu Suzuki (11 shared papers)Atsushi Fujimura (12 shared papers)Takeo Suzuki (8 shared papers)
- Journals
- Nucleic Acids Research (8 papers)Journal of Biological Chemistry (6 papers)Communications Biology (4 papers)Scientific Reports (3 papers)RNA (3 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Fan‐Yan Wei
88 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 2.3k
- Cell Biology 470
- Cancer Research 320
- Developmental Neuroscience 65
- Cellular and Molecular Neuroscience 287
Countries citing papers authored by Fan‐Yan Wei
This map shows the geographic impact of Fan‐Yan Wei'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 Fan‐Yan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan‐Yan Wei more than expected).
Fields of papers citing papers by Fan‐Yan Wei
This network shows the impact of papers produced by Fan‐Yan Wei. 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 Fan‐Yan Wei. The network helps show where Fan‐Yan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan‐Yan Wei, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 202 | |
| 2 | 2004 | 199 | |
| 3 | 2003 | 160 | |
| 4 | 2005 | 157 | |
| 5 | 2005 | 157 | |
| 6 | 2018 | 118 | |
| 7 | 2004 | 115 | |
| 8 | 2019 | 113 | |
| 9 | 2010 | 108 | |
| 10 | 2005 | 95 | |
| 11 | 2018 | 88 | |
| 12 | 2015 | 88 | |
| 13 | 2019 | 85 | |
| 14 | 2005 | 74 | |
| 15 | 2020 | 74 | |
| 16 | 2016 | 69 | |
| 17 | 2007 | 69 | |
| 18 | 2018 | 59 | |
| 19 | 2016 | 55 | |
| 20 | 2011 | 55 |
About Fan‐Yan Wei
Fan‐Yan Wei is a scholar working on Molecular Biology, Cell Biology, Surgery, Cellular and Molecular Neuroscience and Cancer Research, having authored 91 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (39 papers), RNA and protein synthesis mechanisms (15 papers), Mitochondrial Function and Pathology (15 papers), RNA Research and Splicing (9 papers), Pancreatic function and diabetes (9 papers), Cancer-related gene regulation (7 papers), RNA Interference and Gene Delivery (6 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Cell Biology (470 citations), Cancer Research (320 citations), Developmental Neuroscience (65 citations) and Cellular and Molecular Neuroscience (287 citations). Fan‐Yan Wei has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuhito Tomizawa, Hideki Matsui, Masayuki Matsushita, Taku Kaitsuka, Yun-Fei Lu, Tsutomu Suzuki, Atsushi Fujimura, Takeo Suzuki, Yoshiya Oda and Hiroyuki Michiue. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Communications Biology, Scientific Reports and RNA.
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.