Pu Wang
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Genetics top 2%
- Glioma Diagnosis and Treatment
Papers in
-
- Machine Learning in Bioinformatics 15
- Plant Gene Expression Analysis 10
- RNA and protein synthesis mechanisms 9
- Plant tissue culture and regeneration 7
- Renal and related cancers 7
- RNA modifications and cancer 6
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- Plant Molecular Biology Research 12
- Co-authors
- Xuan Xiao (12 shared papers)Kuo‐Chen Chou (5 shared papers)Kuo‐Chen Chou (6 shared papers)Yue Xiong (9 shared papers)Kun‐Liang Guan (9 shared papers)Wei‐Zhong Lin (1 shared paper)Jianhua Jia (1 shared paper)Wei Xu (1 shared paper)
- Journals
- PLoS ONE (5 papers)Scientia Horticulturae (5 papers)Scientific Reports (5 papers)Journal of The Electrochemical Society (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Pu Wang
133 papers receiving 4.2k citations
Pu Wang's Hit Papers
Peers
Comparison fields: 5 of 141
- Cancer Research 717
- Genetics 489
- Microbiology 235
- Molecular Biology 2.6k
- Aging 25
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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Glioma-Derived Mutations in IDH1 Dominantly Inhibit IDH1 Catalytic Activity and Induce HIF-1α Hit paper breakdown → | 2009 | 902 |
| 2 | iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types Hit paper breakdown → | 2013 | 464 |
| 3 | 2010 | 203 | |
| 4 | 2015 | 165 | |
| 5 | 2008 | 151 | |
| 6 | 2010 | 116 | |
| 7 | 2013 | 104 | |
| 8 | 2008 | 99 | |
| 9 | 2020 | 92 | |
| 10 | 2011 | 87 | |
| 11 | 2015 | 85 | |
| 12 | 2012 | 81 | |
| 13 | 2010 | 62 | |
| 14 | 2009 | 61 | |
| 15 | 2017 | 58 | |
| 16 | 2015 | 57 | |
| 17 | 2014 | 55 | |
| 18 | 2016 | 54 | |
| 19 | 2023 | 48 | |
| 20 | 2022 | 46 |
About Pu Wang
Pu Wang is a scholar working on Molecular Biology, Plant Science, Hematology, Oncology and Surgery, having authored 139 papers that have together received 4.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (15 papers), Plant Molecular Biology Research (12 papers), Plant Gene Expression Analysis (10 papers), RNA and protein synthesis mechanisms (9 papers), Multiple Myeloma Research and Treatments (7 papers), Plant tissue culture and regeneration (7 papers), Renal and related cancers (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (717 citations), Genetics (489 citations), Microbiology (235 citations), Molecular Biology (2.6k citations) and Aging (25 citations). Pu Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xuan Xiao, Kuo‐Chen Chou, Kuo‐Chen Chou, Yue Xiong, Kun‐Liang Guan, Wei‐Zhong Lin, Jianhua Jia, Wei Xu, Zhiqiang Li and Yan Lin. Their work appears in journals such as PLoS ONE, Scientia Horticulturae, Scientific Reports, Journal of The Electrochemical Society and Proceedings of the National Academy of Sciences.
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.