Pu Wang
Impact in
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- Epigenetics and DNA Methylation
- Protist diversity and phylogeny
- RNA modifications and cancer
Papers in
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- Metabolism, Diabetes, and Cancer 4
- Epigenetics and DNA Methylation 4
- Machine Learning in Bioinformatics 4
- 14-3-3 protein interactions 3
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- Quantum Mechanics and Applications 4
- Co-authors
- Shao Chin Lee (10 shared papers)Yongmin Li (6 shared papers)Xuyang Wang (6 shared papers)Lan Wang (1 shared paper)Hua Yang (1 shared paper)Yucheng Lu (5 shared papers)Yue Xiong (1 shared paper)Xiufei Chen (1 shared paper)
- Journals
- Physical review. A (3 papers)Journal of Cellular Physiology (3 papers)Analytical Chemistry (2 papers)Acta Biochimica et Biophysica Sinica (2 papers)Molecular Cell (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pu Wang
39 papers receiving 841 citations
Peers
Comparison fields: 5 of 108
- Horticulture 8
- Molecular Biology 511
- Hematology 78
- Biochemistry 34
- Cancer Research 57
Countries citing papers authored by Pu Wang
This map shows the geographic impact of Pu 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 Pu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Wang more than expected).
Fields of papers citing papers by Pu Wang
This network shows the impact of papers produced by Pu 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 Pu Wang. The network helps show where Pu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 225 | |
| 2 | 2015 | 79 | |
| 3 | 2014 | 62 | |
| 4 | 2016 | 58 | |
| 5 | 2020 | 42 | |
| 6 | 2023 | 41 | |
| 7 | 2017 | 39 | |
| 8 | 2018 | 30 | |
| 9 | 2019 | 27 | |
| 10 | 2017 | 24 | |
| 11 | 2012 | 23 | |
| 12 | 2023 | 20 | |
| 13 | 2023 | 18 | |
| 14 | 2018 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2018 | 10 |
About Pu Wang
Pu Wang is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Oncology and Cell Biology, having authored 40 papers that have together received 858 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Quantum Mechanics and Applications (4 papers), Quantum Computing Algorithms and Architecture (4 papers), Epigenetics and DNA Methylation (4 papers), Machine Learning in Bioinformatics (4 papers), 14-3-3 protein interactions (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Horticulture (8 citations), Molecular Biology (511 citations), Hematology (78 citations), Biochemistry (34 citations) and Cancer Research (57 citations). Pu Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shao Chin Lee, Yongmin Li, Xuyang Wang, Lan Wang, Hua Yang, Yucheng Lu, Yue Xiong, Xiufei Chen, Shenghong Ma and Mengtao Xiao. Their work appears in journals such as Physical review. A, Journal of Cellular Physiology, Analytical Chemistry, Acta Biochimica et Biophysica Sinica and Molecular Cell.
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.