Dehu Chen

733 total citations
29 papers, 516 citations indexed

About

Dehu Chen is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Dehu Chen has authored 29 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Immunology. Recurrent topics in Dehu Chen's work include Cancer Mechanisms and Therapy (6 papers), Cancer Cells and Metastasis (5 papers) and Galectins and Cancer Biology (4 papers). Dehu Chen is often cited by papers focused on Cancer Mechanisms and Therapy (6 papers), Cancer Cells and Metastasis (5 papers) and Galectins and Cancer Biology (4 papers). Dehu Chen collaborates with scholars based in China, Macao and United Kingdom. Dehu Chen's co-authors include Qinghong Liu, Xiaolan You, Daniel Faibil, Martin Agyemang, Guiyuan Liu, Peizhong Yang, Chao Li, Yuanjie Wang, Jian Wu and Zhong Chen and has published in prestigious journals such as IEEE Access, Frontiers in Immunology and Analytica Chimica Acta.

In The Last Decade

Dehu Chen

28 papers receiving 505 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dehu Chen China	15	234	100	89	84	58	29	516
Thomas T. Poulsen Denmark	16	196 0.8×	246 2.5×	39 0.4×	84 1.0×	79 1.4×	33	627
Chih Hung Lin Taiwan	11	177 0.8×	106 1.1×	68 0.8×	15 0.2×	61 1.1×	16	593
Fangming Wang China	12	88 0.4×	112 1.1×	79 0.9×	100 1.2×	76 1.3×	33	417
Ziqing Wu China	12	373 1.6×	69 0.7×	248 2.8×	46 0.5×	44 0.8×	26	991
Jiangyi Liu China	14	253 1.1×	29 0.3×	151 1.7×	66 0.8×	59 1.0×	32	612
Lingmei Wang China	15	352 1.5×	228 2.3×	80 0.9×	74 0.9×	85 1.5×	42	944
Chunyan Hu China	11	108 0.5×	133 1.3×	67 0.8×	116 1.4×	48 0.8×	29	481
Cheng Yan-ping China	14	240 1.0×	52 0.5×	139 1.6×	48 0.6×	79 1.4×	30	720
Wenfeng Lu China	17	258 1.1×	119 1.2×	126 1.4×	25 0.3×	142 2.4×	77	880

Countries citing papers authored by Dehu Chen

Since Specialization

Citations

This map shows the geographic impact of Dehu Chen'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 Dehu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehu Chen more than expected).

Fields of papers citing papers by Dehu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dehu Chen. 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 Dehu Chen. The network helps show where Dehu Chen may publish in the future.

Co-authorship network of co-authors of Dehu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Dehu Chen. A scholar is included among the top collaborators of Dehu Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dehu Chen. Dehu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, Dehu, et al.. (2023). Meta-Learning Based Tasks Similarity Representation for Cross Domain Lifelong Learning. IEEE Access. 11. 36692–36701. 1 indexed citations

Chen, Dehu, et al.. (2023). Class incremental learning of remote sensing images based on class similarity distillation. PeerJ Computer Science. 9. e1583–e1583. 3 indexed citations

Li, Xinyu, Lixin Su, Wenxue Chen, et al.. (2022). Clinical Implications of Necroptosis Genes Expression for Cancer Immunity and Prognosis: A Pan-Cancer Analysis. Frontiers in Immunology. 13. 882216–882216. 2 indexed citations

Chen, Dehu, Daniel Faibil, & Martin Agyemang. (2020). Evaluating critical barriers and pathways to implementation of e-waste formalization management systems in Ghana: a hybrid BWM and fuzzy TOPSIS approach. Environmental Science and Pollution Research. 27(35). 44561–44584. 69 indexed citations

You, Xiaolan, Jian Wu, Yuanjie Wang, et al.. (2020). Galectin-1 promotes vasculogenic mimicry in gastric adenocarcinoma via the Hedgehog/GLI signaling pathway. Aging. 12(21). 21837–21853. 17 indexed citations

You, Xiaolan, Jian Wu, Yuanjie Wang, et al.. (2019). Single vs. double purse-string anastomosis during laparoscopic low anterior rectal resection (SINGLE–DOUBLE trial): study protocol for a randomized controlled trial. Trials. 20(1). 292–292. 1 indexed citations

Chen, Dehu, et al.. (2019). A‐kinase‐interacting protein 1 facilitates growth and metastasis of gastric cancer cells via Slug‐induced epithelial‐mesenchymal transition. Journal of Cellular and Molecular Medicine. 23(6). 4434–4442. 20 indexed citations

You, Xiaolan, Yuanjie Wang, Jian Wu, et al.. (2019). Aberrant Cytokeratin 20 mRNA Expression in Peripheral Blood and Lymph Nodes Indicates Micrometastasis and Poor Prognosis in Patients With Gastric Carcinoma. Technology in Cancer Research & Treatment. 18. 1078100504–1078100504. 6 indexed citations

You, Xiaolan, Qinghong Liu, Jian Wu, et al.. (2019). Galectin-1 Promotes Vasculogenic Mimicry in Gastric Cancer by Upregulating EMT Signaling. Journal of Cancer. 10(25). 6286–6297. 21 indexed citations

10.

Chen, Dehu, et al.. (2018). CPEB4 promotes growth and metastasis of gastric cancer cells via ZEB1-mediated epithelial–mesenchymal transition. OncoTargets and Therapy. Volume 11. 6153–6165. 21 indexed citations

11.

Chen, Dehu, et al.. (2018). TRIM37 promotes cell invasion and metastasis by regulating SIP1-mediated epithelial–mesenchymal transition in gastric cancer. OncoTargets and Therapy. Volume 11. 8803–8813. 19 indexed citations

12.

You, Xiaolan, Yuanjie Wang, Jian Wu, et al.. (2018). Galectin-1 Promotes Metastasis in Gastric Cancer Through a Sphingosine-1-Phosphate Receptor 1-Dependent Mechanism. Cellular Physiology and Biochemistry. 51(1). 11–30. 18 indexed citations

13.

You, Xiaolan, Yuanjie Wang, Jian Wu, et al.. (2018). Prognostic significance of galectin-1 and vasculogenic mimicry in patients with gastric cancer. OncoTargets and Therapy. Volume 11. 3237–3244. 15 indexed citations

14.

Chen, Dehu, et al.. (2017). SPOCK1 promotes the invasion and metastasis of gastric cancer through Slug‐induced epithelial‐mesenchymal transition. Journal of Cellular and Molecular Medicine. 22(2). 797–807. 57 indexed citations

15.

Chen, Dehu, Guiyuan Liu, Ning Xu, et al.. (2017). Knockdown of ARK5 Expression Suppresses Invasion and Metastasis of Gastric Cancer. Cellular Physiology and Biochemistry. 42(3). 1025–1036. 33 indexed citations

16.

Chen, Dehu. (2015). Contactin 1: A potential therapeutic target and biomarker in gastric cancer. World Journal of Gastroenterology. 21(33). 9707–9707. 20 indexed citations

17.

Cao, Ya, et al.. (2014). Aptamer-based homogeneous protein detection using cucurbit[7]uril functionalized electrode. Analytica Chimica Acta. 812. 45–49. 45 indexed citations

18.

Chen, Dehu, Min Shen, Ya Cao, et al.. (2012). Electrochemical identification of hepatocellular carcinoma based on the assay of human cervical cancer oncoprotein-1 in serum. Electrochemistry Communications. 27. 38–41. 14 indexed citations

19.

Chen, Dehu. (2006). Effects of two kinds of new-type pesticide Monosulfuron and Monosulfuron-ester on the Photosynsthesis rate of Anabaena. 1 indexed citations

20.

Chen, Dehu. (2006). Bidding Game Model of Tradable Emission Permits Based on First-price Sealed Auction.

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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