Duo Wen

1.2k total citations
36 papers, 848 citations indexed

About

Duo Wen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, Duo Wen has authored 36 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Endocrinology, Diabetes and Metabolism and 13 papers in Cancer Research. Recurrent topics in Duo Wen's work include Thyroid Cancer Diagnosis and Treatment (17 papers), MicroRNA in disease regulation (7 papers) and RNA modifications and cancer (6 papers). Duo Wen is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (17 papers), MicroRNA in disease regulation (7 papers) and RNA modifications and cancer (6 papers). Duo Wen collaborates with scholars based in China, Ethiopia and Romania. Duo Wen's co-authors include Wei‐Zhong Wu, Jia Fan, Dongli Liu, Lili Dong, Ben Ma, Tian Liao, Qinghai Ji, Wenjun Wei, Yulong Wang and Zhong‐Wu Lu and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Duo Wen

36 papers receiving 842 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duo Wen China 18 513 361 212 120 106 36 848
Siyang Dong China 12 295 0.6× 195 0.5× 144 0.7× 64 0.5× 87 0.8× 18 494
Zhou Yuan China 16 549 1.1× 438 1.2× 23 0.1× 91 0.8× 252 2.4× 46 869
Liang Yu China 14 597 1.2× 185 0.5× 26 0.1× 150 1.3× 90 0.8× 32 839
Chencheng Xie United States 11 342 0.7× 194 0.5× 40 0.2× 42 0.3× 125 1.2× 33 564
Magdalena M. Grabowska United States 14 333 0.6× 114 0.3× 55 0.3× 75 0.6× 135 1.3× 19 602
Guanli Huang China 15 831 1.6× 756 2.1× 41 0.2× 52 0.4× 79 0.7× 19 987
Shuxin Wen China 18 601 1.2× 394 1.1× 21 0.1× 93 0.8× 196 1.8× 62 950
Da Wu China 11 385 0.8× 248 0.7× 65 0.3× 22 0.2× 72 0.7× 14 508
Hannah R. Foster United States 7 351 0.7× 142 0.4× 52 0.2× 139 1.2× 333 3.1× 10 677

Countries citing papers authored by Duo Wen

Since Specialization
Citations

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

Fields of papers citing papers by Duo Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duo Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Duo Wen. A scholar is included among the top collaborators of Duo Wen 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 Duo Wen. Duo Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Liu, Wanlin, Qing Guan, Duo Wen, et al.. (2021). PRDM16 Inhibits Cell Proliferation and Migration via Epithelial-to-Mesenchymal Transition by Directly Targeting Pyruvate Carboxylase in Papillary Thyroid Cancer. Frontiers in Cell and Developmental Biology. 9. 723777–723777. 8 indexed citations
3.
4.
Hu, Jia‐Qian, Duo Wen, Ben Ma, et al.. (2020). IL-2 enhanced MHC class I expression in papillary thyroid cancer with Hashimoto's thyroiditis overcomes immune escape in vitro. Journal of Cancer. 11(14). 4250–4260. 17 indexed citations
5.
Liu, Yang, Lili Lu, Duo Wen, et al.. (2020). MiR-612 regulates invadopodia of hepatocellular carcinoma by HADHA-mediated lipid reprogramming. Journal of Hematology & Oncology. 13(1). 12–12. 73 indexed citations
6.
Wei, Wenjun, Jia‐Qian Hu, Duo Wen, et al.. (2020). Apoptosis Activation in Thyroid Cancer Cells by Jatrorrhizine-Platinum(II) Complex via Downregulation of PI3K/AKT/Mammalian Target of Rapamycin (mTOR) Pathway. Medical Science Monitor. 26. e922518–e922518. 7 indexed citations
7.
Liu, Dongli, Lili Lu, Lili Dong, et al.. (2020). miR-17-5p and miR-20a-5p suppress postoperative metastasis of hepatocellular carcinoma via blocking HGF/ERBB3-NF-κB positive feedback loop. Theranostics. 10(8). 3668–3683. 40 indexed citations
8.
Ma, Ben, Hongyi Jiang, Duo Wen, et al.. (2019). Transcriptome Analyses Identify a Metabolic Gene Signature Indicative of Dedifferentiation of Papillary Thyroid Cancer. The Journal of Clinical Endocrinology & Metabolism. 104(9). 3713–3725. 32 indexed citations
9.
Qu, Ning, Rong‐Liang Shi, Tian Liao, et al.. (2019). Germline Missense Mutation of Deleted in Malignant Brain Tumor 1 (<b><i>DMBT1</i></b>) in Familial Mediastinal Neuroendocrine Cancer and in vitro Effects in Thyroid Cancer Cells. Neuroendocrinology. 110(7-8). 714–720. 1 indexed citations
10.
Han, Litao, Jia‐Qian Hu, Ben Ma, et al.. (2019). IL-17A increases MHC class I expression and promotes T cell activation in papillary thyroid cancer patients with coexistent Hashimoto’s thyroiditis. Diagnostic Pathology. 14(1). 52–52. 17 indexed citations
11.
Ma, Ben, Weibo Xu, Wenjun Wei, et al.. (2018). Clinicopathological and Survival Outcomes of Well-Differentiated Thyroid Carcinoma Undergoing Dedifferentiation: A Retrospective Study from FUSCC. International Journal of Endocrinology. 2018. 1–11. 17 indexed citations
12.
Liao, Tian, Wen‐Jun Wei, Duo Wen, et al.. (2018). Verteporfin inhibits papillary thyroid cancer cells proliferation and cell cycle through ERK1/2 signaling pathway. Journal of Cancer. 9(8). 1329–1336. 12 indexed citations
13.
14.
Sun, Guohua, Ning Qu, Jia‐Qian Hu, et al.. (2017). [Risk for metastasis of lymph node between sternocleidomastoid and sternohyoid muscle in papillary thyroid cancer].. PubMed. 52(4). 253–258. 4 indexed citations
15.
Ma, Ben, Tian Liao, Duo Wen, et al.. (2016). Long intergenic non-coding RNA 271 is predictive of a poorer prognosis of papillary thyroid cancer. Scientific Reports. 6(1). 36973–36973. 40 indexed citations
16.
Yang, Liu, Dongli Liu, Lili Dong, et al.. (2016). miR-612 suppresses stem cell-like property of hepatocellular carcinoma cells by modulating Sp1/Nanog signaling. Cell Death and Disease. 7(9). e2377–e2377. 42 indexed citations
17.
Wen, Duo, Dongli Liu, Jun Tang, et al.. (2015). Malic enzyme 1 induces epithelial–mesenchymal transition and indicates poor prognosis in hepatocellular carcinoma. Tumor Biology. 36(8). 6211–6221. 55 indexed citations
18.
Wan, Jin-Liang, Duo Wen, Lili Dong, et al.. (2015). Establishment of monoclonal HCC cell lines with organ site-specific tropisms. BMC Cancer. 15(1). 678–678. 14 indexed citations
19.
Liu, Dongli, Lili Dong, Duo Wen, et al.. (2015). A c-Myc/miR-17-5p feedback loop regulates metastasis and invasion of hepatocellular carcinoma. Tumor Biology. 37(4). 5039–5047. 21 indexed citations
20.
Tang, Jun, Zhonghua Tao, Duo Wen, et al.. (2014). miR-612 suppresses the stemness of liver cancer via Wnt/β-catenin signaling. Biochemical and Biophysical Research Communications. 447(1). 210–215. 67 indexed citations

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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