Pin Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
Papers in
-
- RNA modifications and cancer 6
- RNA and protein synthesis mechanisms 6
- Oncology 18
- Cancer Immunotherapy and Biomarkers 8
- Co-authors
- David A. Tirrell (5 shared papers)Jian‐Hua Mao (15 shared papers)Bo Hang (13 shared papers)Xiaoping Zou (10 shared papers)Yi Tang (2 shared papers)Yunshan Wang (3 shared papers)Jianzhong Bi (2 shared papers)Deepshikha Datta (1 shared paper)
- Journals
- Scientific Reports (5 papers)Journal of the American Chemical Society (4 papers)Frontiers in Immunology (3 papers)Frontiers in Oncology (3 papers)EBioMedicine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Pin Wang
85 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 129
- Cancer Research 306
- Molecular Biology 1.0k
- Pharmaceutical Science 73
- Oncology 289
- Neurology 87
Countries citing papers authored by Pin Wang
This map shows the geographic impact of Pin 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 Pin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin Wang more than expected).
Fields of papers citing papers by Pin Wang
This network shows the impact of papers produced by Pin 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 Pin Wang. The network helps show where Pin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pin 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
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 171 | |
| 2 | 2013 | 121 | |
| 3 | 2002 | 118 | |
| 4 | 2003 | 107 | |
| 5 | 2014 | 97 | |
| 6 | 1997 | 95 | |
| 7 | 2010 | 69 | |
| 8 | 2020 | 66 | |
| 9 | 2012 | 52 | |
| 10 | 2014 | 48 | |
| 11 | 2004 | 47 | |
| 12 | 2009 | 45 | |
| 13 | 2016 | 45 | |
| 14 | 2021 | 39 | |
| 15 | 2012 | 37 | |
| 16 | 2015 | 33 | |
| 17 | 2010 | 33 | |
| 18 | 2016 | 31 | |
| 19 | 2011 | 31 | |
| 20 | 2017 | 31 |
About Pin Wang
Pin Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Pulmonary and Respiratory Medicine, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), RNA modifications and cancer (6 papers), Ferroptosis and cancer prognosis (6 papers), RNA and protein synthesis mechanisms (6 papers), Alzheimer's disease research and treatments (5 papers), Cancer-related molecular mechanisms research (5 papers), Gastric Cancer Management and Outcomes (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Cancer Research (306 citations), Molecular Biology (1.0k citations), Pharmaceutical Science (73 citations), Oncology (289 citations) and Neurology (87 citations). Pin Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include David A. Tirrell, Jian‐Hua Mao, Bo Hang, Xiaoping Zou, Yi Tang, Yunshan Wang, Jianzhong Bi, Deepshikha Datta, Isaac S. Carrico and Stephen L. Mayo. Their work appears in journals such as Scientific Reports, Journal of the American Chemical Society, Frontiers in Immunology, Frontiers in Oncology and EBioMedicine.
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.