Ling Wu
Impact in
- Sensory Systems top 1%
- Ion Channels and Receptors
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Wnt/β-catenin signaling in development and cancer 4
- Genomics and Phylogenetic Studies 4
- Oncology 17
- Cancer Cells and Metastasis 6
- HER2/EGFR in Cancer Research 3
- Co-authors
- Roger G. O’Neil (4 shared papers)Xiaochong Gao (2 shared papers)Nizar A. Mullani (1 shared paper)Kendra S. Carmon (10 shared papers)Xiang H.-F. Zhang (5 shared papers)Shumei Zhai (4 shared papers)Wangsheng Yu (6 shared papers)Stefan Heller (1 shared paper)
- Journals
- Scientific Reports (5 papers)Journal of Asian Natural Products Research (5 papers)Journal of Biological Chemistry (5 papers)Biochemical and Biophysical Research Communications (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Ling Wu
57 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 112
- Sensory Systems 340
- Cancer Research 225
- Oncology 326
- Molecular Biology 847
- Pathology and Forensic Medicine 167
Countries citing papers authored by Ling Wu
This map shows the geographic impact of Ling 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 Ling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Wu more than expected).
Fields of papers citing papers by Ling Wu
This network shows the impact of papers produced by Ling 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 Ling Wu. The network helps show where Ling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 251 | |
| 2 | 2005 | 184 | |
| 3 | 2007 | 139 | |
| 4 | 2019 | 109 | |
| 5 | 2014 | 107 | |
| 6 | 2020 | 75 | |
| 7 | 2018 | 73 | |
| 8 | 2016 | 71 | |
| 9 | 2017 | 61 | |
| 10 | 2000 | 55 | |
| 11 | 2015 | 51 | |
| 12 | 2016 | 51 | |
| 13 | 1999 | 49 | |
| 14 | 2008 | 47 | |
| 15 | 2019 | 47 | |
| 16 | 2019 | 43 | |
| 17 | 2011 | 42 | |
| 18 | 2019 | 41 | |
| 19 | 2012 | 39 | |
| 20 | 2019 | 38 |
About Ling Wu
Ling Wu is a scholar working on Molecular Biology, Oncology, Sensory Systems, Cancer Research and Pathology and Forensic Medicine, having authored 59 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Ion Channels and Receptors (4 papers), Genomics and Phylogenetic Studies (4 papers), Genetic factors in colorectal cancer (4 papers), Coleoptera Taxonomy and Distribution (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Sensory Systems (340 citations), Cancer Research (225 citations), Oncology (326 citations), Molecular Biology (847 citations) and Pathology and Forensic Medicine (167 citations). Ling Wu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Roger G. O’Neil, Xiaochong Gao, Nizar A. Mullani, Kendra S. Carmon, Xiang H.-F. Zhang, Shumei Zhai, Wangsheng Yu, Stefan Heller, Rachel C. Brown and Soo-Hyun Park. Their work appears in journals such as Scientific Reports, Journal of Asian Natural Products Research, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications 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.