De-Qi Xu
Impact in
- Biotechnology top 2%
- Cancer Research and Treatments
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions
Papers in
-
- Cancer Research and Treatments 10
-
- MicroRNA in disease regulation 4
- Co-authors
- Dennis J. KopeckoXuejian ZhaoLifang GaoJohn O. CisarJohn F. ThompsonYueting ShaoJiadi HuDhananjaya V. Kalvakolanu
- Journals
- Clinical Cancer Research (2 papers)Cancer Gene Therapy (2 papers)Acta Pharmacologica Sinica (2 papers)Asian Journal of Andrology (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
De-Qi Xu
22 papers receiving 844 citations
Peers
Comparison fields: 5 of 108
- Biotechnology 271
- Oncology 237
- Cancer Research 106
- Genetics 164
- Periodontics 23
Countries citing papers authored by De-Qi Xu
This map shows the geographic impact of De-Qi Xu'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 De-Qi Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De-Qi Xu more than expected).
Fields of papers citing papers by De-Qi Xu
This network shows the impact of papers produced by De-Qi Xu. 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 De-Qi Xu. The network helps show where De-Qi Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside De-Qi Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 1 | |
| 2 | 2018 | 1 | |
| 3 | 2017 | 2 | |
| 4 | 2017 | 5 | |
| 5 | 2016 | 67 | |
| 6 | Overexpression of GRIM-19, a mitochondrial respiratory chain complex I protein, suppresses hepatocellular carcinoma growth. | 2014 | 16 |
| 7 | 2013 | 20 | |
| 8 | 2013 | 23 | |
| 9 | 2012 | 33 | |
| 10 | 2012 | 16 | |
| 11 | 2011 | 18 | |
| 12 | 2011 | 16 | |
| 13 | 2010 | 12 | |
| 14 | 2008 | 70 | |
| 15 | 2008 | 20 | |
| 16 | 2007 | 118 | |
| 17 | 2006 | 31 | |
| 18 | 2005 | 65 | |
| 19 | [Knockdown of STAT3 expression using siRNA inhibits the growth of prostate cancer cell lines]. | 2005 | 8 |
| 20 | 2003 | 39 |
About De-Qi Xu
De-Qi Xu is a scholar working on Biotechnology, Cancer Research, Genetics, Oncology and Periodontics, having authored 22 papers that have together received 859 indexed citations. Recurring topics across this work include Cancer Research and Treatments (10 papers), Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related Molecular Pathways (4 papers), Nanoplatforms for cancer theranostics (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Biotechnology (271 citations), Oncology (237 citations), Cancer Research (106 citations), Genetics (164 citations) and Periodontics (23 citations). De-Qi Xu has collaborated with scholars based in China and United States. Frequent co-authors include Dennis J. Kopecko, Xuejian Zhao, Lifang Gao, John O. Cisar, John F. Thompson, Yueting Shao, Jiadi Hu, Dhananjaya V. Kalvakolanu, Lan Hu and William D. Swaim. Their work appears in journals such as Clinical Cancer Research, Cancer Gene Therapy, Acta Pharmacologica Sinica, Asian Journal of Andrology and Journal of Pharmacology and Experimental Therapeutics.
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.