Yalei Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- Bone Metabolism and Diseases
- TGF-β signaling in diseases
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
- Ubiquitin and proteasome pathways
- Pluripotent Stem Cells Research
Papers in
-
- Bone Metabolism and Diseases 6
- TGF-β signaling in diseases 3
- CRISPR and Genetic Engineering 3
- Genomics and Phylogenetic Studies 2
- DNA Repair Mechanisms 2
- Genetics 5
- Co-authors
- Mary C. Nakamura (3 shared papers)Xu Cao (3 shared papers)Liyu Wu (2 shared papers)Mei Wan (2 shared papers)Mary Beth Humphrey (2 shared papers)Hui‐Chen Hsu (3 shared papers)John D. Mountz (3 shared papers)Abhijit A. Patel (1 shared paper)
- Journals
- Journal of Cellular Biochemistry (2 papers)Journal of Biological Chemistry (2 papers)Disease Models & Mechanisms (1 paper)Hereditas (1 paper)EMBO Reports (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Yalei Wu
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Cancer Research 193
- Molecular Biology 780
- Immunology 155
- Oncology 199
- Orthopedics and Sports Medicine 56
Countries citing papers authored by Yalei Wu
This map shows the geographic impact of Yalei Wu'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 Yalei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yalei Wu more than expected).
Fields of papers citing papers by Yalei Wu
This network shows the impact of papers produced by Yalei Wu. 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 Yalei Wu. The network helps show where Yalei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yalei Wu, 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 | 2010 | 156 | |
| 2 | 2002 | 141 | |
| 3 | 2017 | 119 | |
| 4 | 2017 | 91 | |
| 5 | 2003 | 84 | |
| 6 | 2020 | 76 | |
| 7 | 2007 | 62 | |
| 8 | 2007 | 54 | |
| 9 | 2021 | 52 | |
| 10 | 2020 | 52 | |
| 11 | 2008 | 50 | |
| 12 | 2005 | 49 | |
| 13 | 2004 | 39 | |
| 14 | 2000 | 39 | |
| 15 | 2005 | 18 | |
| 16 | 2016 | 13 | |
| 17 | 2013 | 8 | |
| 18 | 2000 | 7 | |
| 19 | 2017 | 1 |
About Yalei Wu
Yalei Wu is a scholar working on Molecular Biology, Genetics, Cancer Research, Rheumatology and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (6 papers), TGF-β signaling in diseases (3 papers), CRISPR and Genetic Engineering (3 papers), MicroRNA in disease regulation (2 papers), Genetic factors in colorectal cancer (2 papers), Genomics and Phylogenetic Studies (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cancer Research (193 citations), Molecular Biology (780 citations), Immunology (155 citations), Oncology (199 citations) and Orthopedics and Sports Medicine (56 citations). Yalei Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Mary C. Nakamura, Xu Cao, Liyu Wu, Mei Wan, Mary Beth Humphrey, Hui‐Chen Hsu, John D. Mountz, Abhijit A. Patel, Xingming Shi and Shuting Bai. Their work appears in journals such as Journal of Cellular Biochemistry, Journal of Biological Chemistry, Disease Models & Mechanisms, Hereditas and EMBO Reports.
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.