Peihao Yin
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Toxicology top 2%
Papers in
- Oncology 27
- Drug Transport and Resistance Mechanisms 7
- Co-authors
- Yanyan Qiu (26 shared papers)Ke Xu (27 shared papers)Zeting Yuan (20 shared papers)Hongwei Wang (11 shared papers)Irfan Essa (6 shared papers)Xin Liang (9 shared papers)Qi Li (6 shared papers)Jianwen Liu (8 shared papers)
- Journals
- Oncotarget (4 papers)International Journal of Nanomedicine (4 papers)Tumor Biology (4 papers)APOPTOSIS (4 papers)The International Journal of Biochemistry & Cell Biology (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Peihao Yin
158 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 175
- Cancer Research 759
- Toxicology 99
- Biomaterials 357
- Molecular Biology 1.7k
- Complementary and alternative medicine 172
Countries citing papers authored by Peihao Yin
This map shows the geographic impact of Peihao Yin'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 Peihao Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peihao Yin more than expected).
Fields of papers citing papers by Peihao Yin
This network shows the impact of papers produced by Peihao Yin. 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 Peihao Yin. The network helps show where Peihao Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside Peihao Yin, 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 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 135 | |
| 2 | 2012 | 133 | |
| 3 | 2020 | 121 | |
| 4 | 2021 | 112 | |
| 5 | 2017 | 110 | |
| 6 | 2007 | 106 | |
| 7 | 2017 | 101 | |
| 8 | 2012 | 99 | |
| 9 | 2023 | 98 | |
| 10 | 2014 | 81 | |
| 11 | 2012 | 78 | |
| 12 | 2011 | 76 | |
| 13 | 2013 | 75 | |
| 14 | 2012 | 74 | |
| 15 | 2013 | 67 | |
| 16 | 2012 | 65 | |
| 17 | 2017 | 65 | |
| 18 | 2015 | 65 | |
| 19 | 2015 | 62 | |
| 20 | 2009 | 59 |
About Peihao Yin
Peihao Yin is a scholar working on Molecular Biology, Oncology, Cancer Research, Artificial Intelligence and Immunology, having authored 165 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), MicroRNA in disease regulation (11 papers), Nanoparticle-Based Drug Delivery (10 papers), Sentiment Analysis and Opinion Mining (9 papers), Advanced Text Analysis Techniques (9 papers), Drug Transport and Resistance Mechanisms (7 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Nanoplatforms for cancer theranostics (7 papers). The work is most often cited by research in Cancer Research (759 citations), Toxicology (99 citations), Biomaterials (357 citations), Molecular Biology (1.7k citations) and Complementary and alternative medicine (172 citations). Peihao Yin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yanyan Qiu, Ke Xu, Zeting Yuan, Hongwei Wang, Irfan Essa, Xin Liang, Qi Li, Jianwen Liu, Qingfeng Tang and John Winn. Their work appears in journals such as Oncotarget, International Journal of Nanomedicine, Tumor Biology, APOPTOSIS and The International Journal of Biochemistry & Cell Biology.
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.