Xia Pu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
- Oncology 26
- Cancer Cells and Metastasis 13
- Lung Cancer Research Studies 10
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- Lung Cancer Diagnosis and Treatment 7
- Gastric Cancer Management and Outcomes 5
- Renal cell carcinoma treatment 5
- Co-authors
- Xiaoyan Xu (12 shared papers)Xifeng Wu (18 shared papers)Yuanqing Ye (13 shared papers)Zheng Hua-chuan (12 shared papers)Yasuo Takano (10 shared papers)Da-Hua Liu (12 shared papers)Jie Ming Lin (4 shared papers)Jian Hong Gu (5 shared papers)
- Journals
- Tumor Biology (4 papers)Human Molecular Genetics (4 papers)Scientific Reports (3 papers)Cancer Research (3 papers)International Journal of Oncology (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Xia Pu
77 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 393
- Oncology 520
- Pulmonary and Respiratory Medicine 464
- Genetics 359
- Molecular Biology 471
Countries citing papers authored by Xia Pu
This map shows the geographic impact of Xia Pu'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 Xia Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Pu more than expected).
Fields of papers citing papers by Xia Pu
This network shows the impact of papers produced by Xia Pu. 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 Xia Pu. The network helps show where Xia Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Pu, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PI3K/Akt/mTOR signaling pathway in cancer stem cells: from basic research to clinical application. | 2015 | 394 |
| 2 | 2010 | 211 | |
| 3 | 2013 | 131 | |
| 4 | 2010 | 110 | |
| 5 | 2011 | 95 | |
| 6 | 2011 | 81 | |
| 7 | 2014 | 65 | |
| 8 | 2010 | 61 | |
| 9 | 2014 | 52 | |
| 10 | 2013 | 50 | |
| 11 | 2016 | 41 | |
| 12 | 2016 | 40 | |
| 13 | 2010 | 39 | |
| 14 | 2013 | 38 | |
| 15 | 2011 | 35 | |
| 16 | 2015 | 35 | |
| 17 | 2011 | 33 | |
| 18 | 2015 | 33 | |
| 19 | 2010 | 32 | |
| 20 | 2017 | 28 |
About Xia Pu
Xia Pu is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Genetics and Biochemistry, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (13 papers), Genetic Associations and Epidemiology (12 papers), Lung Cancer Research Studies (10 papers), Lung Cancer Diagnosis and Treatment (7 papers), Gastric Cancer Management and Outcomes (5 papers), Breast Cancer Treatment Studies (5 papers), Renal cell carcinoma treatment (5 papers) and Mechanisms of cancer metastasis (3 papers). The work is most often cited by research in Cancer Research (393 citations), Oncology (520 citations), Pulmonary and Respiratory Medicine (464 citations), Genetics (359 citations) and Molecular Biology (471 citations). Xia Pu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiaoyan Xu, Xifeng Wu, Yuanqing Ye, Zheng Hua-chuan, Yasuo Takano, Da-Hua Liu, Jie Ming Lin, Jian Hong Gu, Michelle A.T. Hildebrandt and Anna Dubrovska. Their work appears in journals such as Tumor Biology, Human Molecular Genetics, Scientific Reports, Cancer Research and International Journal of Oncology.
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.