Pin Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 5
- RNA Interference and Gene Delivery 4
- Heme Oxygenase-1 and Carbon Monoxide 3
- Oncology 11
- Cancer Immunotherapy and Biomarkers 6
- 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)Cunfu Wang (2 shared papers)
- Journals
- Scientific Reports (5 papers)Journal of the American Chemical Society (4 papers)Frontiers in Immunology (3 papers)Frontiers in Oncology (3 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Pin Wang
87 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 238
- Molecular Biology 956
- Pharmaceutical Science 72
- Oncology 240
- Neurology 67
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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 175 | |
| 2 | 2013 | 121 | |
| 3 | 2002 | 118 | |
| 4 | 2003 | 107 | |
| 5 | 2014 | 102 | |
| 6 | 1997 | 96 | |
| 7 | 2020 | 71 | |
| 8 | 2010 | 69 | |
| 9 | 2012 | 52 | |
| 10 | 2014 | 48 | |
| 11 | 2004 | 47 | |
| 12 | 2009 | 45 | |
| 13 | 2016 | 45 | |
| 14 | 2021 | 40 | |
| 15 | 2012 | 37 | |
| 16 | 2017 | 33 | |
| 17 | 2010 | 33 | |
| 18 | 2015 | 33 | |
| 19 | 2016 | 32 | |
| 20 | 2011 | 32 |
About Pin Wang
Pin Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (5 papers), RNA Interference and Gene Delivery (4 papers), Smoking Behavior and Cessation (4 papers), Bacterial Genetics and Biotechnology (4 papers), Ferroptosis and cancer prognosis (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). The work is most often cited by research in Cancer Research (238 citations), Molecular Biology (956 citations), Pharmaceutical Science (72 citations), Oncology (240 citations) and Neurology (67 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, Cunfu Wang, Shaohua Wang and Isaac S. Carrico. Their work appears in journals such as Scientific Reports, Journal of the American Chemical Society, Frontiers in Immunology, Frontiers in Oncology and Oncotarget.
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.