Ping Wen
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
-
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 12
- Cancer Diagnosis and Treatment 2
- CAR-T cell therapy research 2
- Pancreatic and Hepatic Oncology Research 2
-
- Renal and related cancers 2
- Co-authors
- Lanyan Fang (1 shared paper)Xianhua Cao (1 shared paper)Xincheng Zheng (1 shared paper)Wolfgang Sadée (1 shared paper)Zunyan Dai (1 shared paper)Seth Gibbs (1 shared paper)Ying Huang (1 shared paper)Duxin Sun (1 shared paper)
- Journals
- Archives of Pathology & Laboratory Medicine (5 papers)Applied immunohistochemistry & molecular morphology (2 papers)Scientific Reports (1 paper)Advanced Science (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ping Wen
31 papers receiving 599 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 193
- Oncology 159
- Molecular Biology 271
- Genetics 38
- Hepatology 25
Countries citing papers authored by Ping Wen
This map shows the geographic impact of Ping Wen'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 Ping Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Wen more than expected).
Fields of papers citing papers by Ping Wen
This network shows the impact of papers produced by Ping Wen. 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 Ping Wen. The network helps show where Ping Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Wen, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 192 | |
| 2 | 2007 | 78 | |
| 3 | 2004 | 42 | |
| 4 | 2007 | 39 | |
| 5 | 2006 | 33 | |
| 6 | 2024 | 28 | |
| 7 | 2016 | 27 | |
| 8 | Invasive micropapillary carcinoma of the sigmoid colon: distinct morphology and aggressive behavior. | 2008 | 25 |
| 9 | 2024 | 19 | |
| 10 | Identification of tumor stem-like cells in a mouse myeloma cell line. | 2009 | 14 |
| 11 | 2007 | 14 | |
| 12 | 2012 | 13 | |
| 13 | 2021 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2014 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2010 | 8 | |
| 19 | 2008 | 5 | |
| 20 | 2024 | 5 |
About Ping Wen
Ping Wen is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Rheumatology, having authored 34 papers that have together received 617 indexed citations. Recurring topics across this work include Urologic and reproductive health conditions (2 papers), Renal and related cancers (2 papers), Cancer Diagnosis and Treatment (2 papers), Soft tissue tumor case studies (2 papers), Virus-based gene therapy research (2 papers), CAR-T cell therapy research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Salivary Gland Tumors Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (193 citations), Oncology (159 citations), Molecular Biology (271 citations), Genetics (38 citations) and Hepatology (25 citations). Ping Wen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lanyan Fang, Xianhua Cao, Xincheng Zheng, Wolfgang Sadée, Zunyan Dai, Seth Gibbs, Ying Huang, Duxin Sun, Wendy L. Frankel and Manju L. Prasad. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Applied immunohistochemistry & molecular morphology, Scientific Reports, Advanced Science and Clinical Cancer Research.
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.