De-Qi Xu

1.1k citations
22 papers · 859 indexed · h-index 16

Impact in

    • Cancer Research and Treatments
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

De-Qi Xu

22 papers receiving 844 citations

Peers

De-Qi Xu
Comparison fields: 5 of 108
  • Biotechnology 271
  • Oncology 237
  • Cancer Research 106
  • Genetics 164
  • Periodontics 23
Replace Paul E. Framson with:
Paul E. Framson United States
J H Hendry United Kingdom
Wei Yin China
Carmel Mothersill Ireland
Christine Kim United States
Atsushi Kawabata Japan
Paul Johnson United States
F Paolucci France
Chandrasekhar Gujuluva United States
De-Qi Xu relative to Paul E. Framson United States Paul E. Framson's profile →
Citations per field
00.5×4.4×
Paul E. Framson · 1×
Citations per year

Countries citing papers authored by De-Qi Xu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with De-Qi Xu Line = papers co-authored together De-Qi Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20181
2 20181
3 20172
4 20175
5 201667
6
Overexpression of GRIM-19, a mitochondrial respiratory chain complex I protein, suppresses hepatocellular carcinoma growth.
201416
7 201320
8 201323
9 201233
10 201216
11 201118
12 201116
13 201012
14 200870
15 200820
16 2007118
17 200631
18 200565
19
[Knockdown of STAT3 expression using siRNA inhibits the growth of prostate cancer cell lines].
20058
20 200339

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.

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