Lin Wu
Impact in
- Nephrology top 10%
-
- Photosynthetic Processes and Mechanisms
- Mitochondrial Function and Pathology
Papers in
-
- Ferroptosis and cancer prognosis 3
- Co-authors
- Ian Max Møller (1 shared paper)V.D. Ramírez (5 shared papers)G.J. Wagner (1 shared paper)Lisong Teng (10 shared papers)Xiangliu Chen (9 shared papers)Changying Xing (6 shared papers)Yanggang Yuan (7 shared papers)Bo Zhang (5 shared papers)
- Journals
- Journal of Cancer (4 papers)Digestive Diseases and Sciences (2 papers)Journal of Clinical Oncology (2 papers)Endocrinology (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lin Wu
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 105
- Nephrology 66
- Molecular Biology 496
- Clinical Biochemistry 41
- Reproductive Medicine 49
- Cancer Research 85
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 211 | |
| 2 | 2014 | 101 | |
| 3 | 2013 | 94 | |
| 4 | 2017 | 77 | |
| 5 | 2015 | 57 | |
| 6 | 2018 | 48 | |
| 7 | 2000 | 43 | |
| 8 | 2022 | 41 | |
| 9 | 1982 | 39 | |
| 10 | 2018 | 37 | |
| 11 | 2023 | 37 | |
| 12 | 2014 | 35 | |
| 13 | 2012 | 34 | |
| 14 | 2020 | 31 | |
| 15 | 2020 | 28 | |
| 16 | 2015 | 28 | |
| 17 | 2022 | 24 | |
| 18 | 2022 | 23 | |
| 19 | 2011 | 22 | |
| 20 | 2019 | 15 |
About Lin Wu
Lin Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Nephrology, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Acne and Rosacea Treatments and Effects (4 papers), Cancer-related molecular mechanisms research (4 papers), Adipose Tissue and Metabolism (3 papers), Hypothalamic control of reproductive hormones (3 papers), Rabbits: Nutrition, Reproduction, Health (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Nephrology (66 citations), Molecular Biology (496 citations), Clinical Biochemistry (41 citations), Reproductive Medicine (49 citations) and Cancer Research (85 citations). Lin Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ian Max Møller, V.D. Ramírez, G.J. Wagner, Lisong Teng, Xiangliu Chen, Changying Xing, Yanggang Yuan, Bo Zhang, Leyong Wang and Lin Chen. Their work appears in journals such as Journal of Cancer, Digestive Diseases and Sciences, Journal of Clinical Oncology, Endocrinology and Frontiers in Immunology.
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.