Pin Wu
Impact in
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
- Oncology 29
- Cancer Immunotherapy and Biomarkers 15
- Cancer Cells and Metastasis 5
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- Plant Reproductive Biology 7
- Co-authors
- Jian Huang (26 shared papers)Dang Wu (27 shared papers)Ying Chai (15 shared papers)Zhigang Zhang (13 shared papers)Fuming Qiu (11 shared papers)Jun Ye (6 shared papers)Zhigang Chen (6 shared papers)Li‐Jun Li (1 shared paper)
- Journals
- PLoS ONE (8 papers)Frontiers in Immunology (5 papers)Cancer Letters (5 papers)Oncotarget (4 papers)OncoImmunology (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pin Wu
102 papers receiving 4.8k citations
Pin Wu's Hit Papers
Peers
Comparison fields: 5 of 123
- Oncology 1.3k
- Immunology 1.0k
- Cancer Research 609
- Plant Science 1.5k
- Molecular Biology 1.6k
Countries citing papers authored by Pin Wu
This map shows the geographic impact of Pin 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 Pin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin Wu more than expected).
Fields of papers citing papers by Pin Wu
This network shows the impact of papers produced by Pin 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 Pin Wu. The network helps show where Pin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pin 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 303 | |
| 2 | 2013 | 264 | |
| 3 | 2014 | 182 | |
| 4 | 2005 | 151 | |
| 5 | 2013 | 143 | |
| 6 | 2010 | 139 | |
| 7 | 2015 | 132 | |
| 8 | 2011 | 130 | |
| 9 | 2008 | 128 | |
| 10 | 2016 | 125 | |
| 11 | 2021 | 123 | |
| 12 | 2014 | 108 | |
| 13 | 2004 | 106 | |
| 14 | 2016 | 101 | |
| 15 | 2013 | 99 | |
| 16 | 2007 | 98 | |
| 17 | 2015 | 96 | |
| 18 | 2017 | 95 | |
| 19 | Multifunctional injectable hydrogel system as a mild photothermal-assisted therapeutic platform for programmed regulation of inflammation and osteo-microenvironment for enhanced healing of diabetic bone defects in situ Hit paper breakdown → | 2024 | 84 |
| 20 | 2016 | 83 |
About Pin Wu
Pin Wu is a scholar working on Oncology, Molecular Biology, Immunology, Plant Science and Pulmonary and Respiratory Medicine, having authored 106 papers that have together received 4.8k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (19 papers), Cancer Immunotherapy and Biomarkers (15 papers), Plant nutrient uptake and metabolism (15 papers), Immune Cell Function and Interaction (14 papers), Immunotherapy and Immune Responses (7 papers), Plant Reproductive Biology (7 papers), Immune cells in cancer (7 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Oncology (1.3k citations), Immunology (1.0k citations), Cancer Research (609 citations), Plant Science (1.5k citations) and Molecular Biology (1.6k citations). Pin Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jian Huang, Dang Wu, Ying Chai, Zhigang Zhang, Fuming Qiu, Jun Ye, Zhigang Chen, Li‐Jun Li, Ming Chen and Keke Yi. Their work appears in journals such as PLoS ONE, Frontiers in Immunology, Cancer Letters, Oncotarget and OncoImmunology.
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.