Ping Wang
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 18
- MicroRNA in disease regulation 15
- Immunology top 2%
- Immune Cell Function and Interaction 23
- T-cell and B-cell Immunology 17
- Immunotherapy and Immune Responses 15
- Molecular Biology top 5%
- RNA modifications and cancer 13
- Circular RNAs in diseases 11
- Oncology top 5%
- CAR-T cell therapy research 8
- Cell Biology top 5%
Ping Wang
198 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 136
- Cancer Research 1.0k
- Immunology 1.2k
- Molecular Biology 2.2k
- Oncology 806
- Cell Biology 308
Countries citing papers authored by Ping Wang
This map shows the geographic impact of Ping Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Wang more than expected).
Fields of papers citing papers by Ping Wang
This network shows the impact of papers produced by Ping Wang. 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 Wang. The network helps show where Ping Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ping Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2020 | 0 | |
| 6 | 2019 | 1 | |
| 7 | 2019 | 15 | |
| 8 | 2016 | 2 | |
| 9 | [The Expression of Pokemon in Endometrial Carcinoma Tissue and the Correlation with Mutant p53]. | 2016 | 2 |
| 10 | Assessment of kallikrein-related peptidase 5 (KLK5) protein expression in tumor tissue of advanced ovarian cancer patients by immunohistochemistry and ELISA: Correlation with clinical outcome | 2016 | 2 |
| 11 | [Expressions and Significance of PTEN and LKB1 in Non-small Cell Lung Cancer]. | 2016 | 1 |
| 12 | [Seroepidemiological survey of Toxoplasma gondii in dogs in Urumqi]. | 2014 | 1 |
| 13 | Performance Monitoring of a Nearshore Berm at Ft. Myers Beach, Florida: Final Report | 2013 | 1 |
| 14 | 2011 | 1 | |
| 15 | 2010 | 1 | |
| 16 | The Relationship of VEGF-C, VEGF-D and VEGFR-3 with Lymph Node Metastasis of Non-small Cell Lung Cancer | 2009 | 1 |
| 17 | 2008 | 90 | |
| 18 | Electronic Nose for Detecting Lung Cancer Based on Virtual Gas Sensor Array | 2007 | 1 |
| 19 | 2006 | 35 | |
| 20 | 2005 | 29 |
About Ping Wang
Ping Wang is a scholar working on Immunology, Cancer Research and Oncology, having authored 206 papers that have together received 4.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (23 papers), Cancer-related molecular mechanisms research (18 papers), T-cell and B-cell Immunology (17 papers), MicroRNA in disease regulation (15 papers), Immunotherapy and Immune Responses (15 papers), RNA modifications and cancer (13 papers), Circular RNAs in diseases (11 papers) and CAR-T cell therapy research (8 papers). The work is most often cited by research in Cancer Research (1.0k citations), Immunology (1.2k citations) and Molecular Biology (2.2k citations). Ping Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Suling Li, Kajsa Paulsson, Hans‐Olov Sjögren, Alistair L. J. Symonds, Per Anderson, Tizong Miao, E. Klein, Christina Kendziorski, Shangwu Chen and Manuel E. Patarroyo. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, PLoS ONE, OncoTargets and Therapy and Biochemical and Biophysical Research Communications.
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.