Lin Wu
Impact in
- Urology top 5%
- Hair Growth and Disorders
- Hepatology top 10%
Papers in
-
- Advanced Biosensing Techniques and Applications 6
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 4
- Oncology 14
- Lung Cancer Research Studies 6
- Peptidase Inhibition and Analysis 4
- Co-authors
- Robert E. Burgeson (1 shared paper)Shuwei Jiang (1 shared paper)Jiro Kishimoto (1 shared paper)Ritsuko Ehama (1 shared paper)Siqi Liu (12 shared papers)Cheng Qian (3 shared papers)Ping Bie (3 shared papers)X Y Feng (3 shared papers)
- Journals
- Journal of Clinical Oncology (9 papers)Journal of Proteome Research (5 papers)ACS Applied Materials & Interfaces (3 papers)PLoS ONE (3 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lin Wu
74 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 140
- Urology 144
- Hepatology 82
- Molecular Biology 689
- Cancer Research 130
- Dermatology 76
Countries citing papers authored by Lin Wu
This map shows the geographic impact of Lin 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 Lin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Wu more than expected).
Fields of papers citing papers by Lin Wu
This network shows the impact of papers produced by Lin 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 Lin Wu. The network helps show where Lin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 187 | |
| 2 | 2013 | 141 | |
| 3 | 2012 | 78 | |
| 4 | 2016 | 72 | |
| 5 | 2015 | 69 | |
| 6 | 2011 | 64 | |
| 7 | 2009 | 63 | |
| 8 | 2011 | 62 | |
| 9 | 2022 | 61 | |
| 10 | 2017 | 43 | |
| 11 | 2015 | 42 | |
| 12 | 2014 | 33 | |
| 13 | 2015 | 31 | |
| 14 | 2013 | 25 | |
| 15 | 2015 | 25 | |
| 16 | 2007 | 23 | |
| 17 | 2016 | 20 | |
| 18 | 2012 | 17 | |
| 19 | 2012 | 17 | |
| 20 | 2016 | 13 |
About Lin Wu
Lin Wu is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Lung Cancer Research Studies (6 papers), Advanced Biosensing Techniques and Applications (6 papers), RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Peptidase Inhibition and Analysis (4 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Urology (144 citations), Hepatology (82 citations), Molecular Biology (689 citations), Cancer Research (130 citations) and Dermatology (76 citations). Lin Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Robert E. Burgeson, Shuwei Jiang, Jiro Kishimoto, Ritsuko Ehama, Siqi Liu, Cheng Qian, Ping Bie, X Y Feng, Xiaomin Lou and Heng Zhu. Their work appears in journals such as Journal of Clinical Oncology, Journal of Proteome Research, ACS Applied Materials & Interfaces, PLoS ONE and Molecular & Cellular Proteomics.
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.