Yan Ping Wu
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 12
- T-cell and B-cell Immunology 11
-
- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Yang Liu (9 shared papers)ZuLiang CHEN (3 shared papers)Feifeng Wang (3 shared papers)Pan Zheng (3 shared papers)Yong Guo (4 shared papers)Qiang Yong (1 shared paper)Caoxing Huang (1 shared paper)Yan Su (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (3 papers)Cellular Immunology (3 papers)The Journal of Experimental Medicine (3 papers)Frontiers in Oncology (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yan Ping Wu
63 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 107
- Immunology 462
- Oncology 322
- Radiology, Nuclear Medicine and Imaging 280
- Water Science and Technology 152
- Otorhinolaryngology 34
Countries citing papers authored by Yan Ping Wu
This map shows the geographic impact of Yan Ping 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 Yan Ping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ping Wu more than expected).
Fields of papers citing papers by Yan Ping Wu
This network shows the impact of papers produced by Yan Ping 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 Yan Ping Wu. The network helps show where Yan Ping Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Ping 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 | 2011 | 287 | |
| 2 | 2019 | 189 | |
| 3 | 2000 | 174 | |
| 4 | 1997 | 103 | |
| 5 | 1996 | 99 | |
| 6 | 2015 | 97 | |
| 7 | 1995 | 90 | |
| 8 | 1996 | 88 | |
| 9 | 2015 | 84 | |
| 10 | 2016 | 80 | |
| 11 | 2015 | 78 | |
| 12 | 2010 | 77 | |
| 13 | 2013 | 67 | |
| 14 | 2007 | 65 | |
| 15 | 2002 | 63 | |
| 16 | 1998 | 62 | |
| 17 | 2017 | 61 | |
| 18 | 2021 | 60 | |
| 19 | 2018 | 59 | |
| 20 | 2004 | 56 |
About Yan Ping Wu
Yan Ping Wu is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Animal Science and Zoology and Pharmacology, having authored 65 papers that have together received 2.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Cancer Immunotherapy and Biomarkers (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), HER2/EGFR in Cancer Research (3 papers), Phytochemistry and Biological Activities (2 papers), Metal and Thin Film Mechanics (2 papers) and Environmental remediation with nanomaterials (2 papers). The work is most often cited by research in Immunology (462 citations), Oncology (322 citations), Radiology, Nuclear Medicine and Imaging (280 citations), Water Science and Technology (152 citations) and Otorhinolaryngology (34 citations). Yan Ping Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yang Liu, ZuLiang CHEN, Feifeng Wang, Pan Zheng, Yong Guo, Qiang Yong, Caoxing Huang, Yan Su, Robert H. Narron and Wei‐Ching Liang. Their work appears in journals such as Molecular Cancer Therapeutics, Cellular Immunology, The Journal of Experimental Medicine, Frontiers in Oncology 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.