Dingyuan Luo

473 total citations
22 papers, 354 citations indexed

About

Dingyuan Luo is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Dingyuan Luo has authored 22 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Oncology. Recurrent topics in Dingyuan Luo's work include Thyroid Cancer Diagnosis and Treatment (10 papers), Thyroid and Parathyroid Surgery (4 papers) and Cancer-related molecular mechanisms research (4 papers). Dingyuan Luo is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (10 papers), Thyroid and Parathyroid Surgery (4 papers) and Cancer-related molecular mechanisms research (4 papers). Dingyuan Luo collaborates with scholars based in China and United States. Dingyuan Luo's co-authors include Honghao Li, Miaoyun Long, Shaojian Lin, Yue Zhu, Mingqing Huang, Chengcheng Ji, Kai Huang, Xinke Xu, Fangcheng Li and Nengtai Ouyang and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Carcinogenesis and Oncotarget.

In The Last Decade

Dingyuan Luo

21 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingyuan Luo China 13 201 140 81 73 68 22 354
Tania Tsatralis Australia 10 191 1.0× 79 0.6× 38 0.5× 40 0.5× 52 0.8× 11 335
Yun Mu China 11 296 1.5× 166 1.2× 42 0.5× 41 0.6× 51 0.8× 16 414
Zhihua Wen China 9 325 1.6× 144 1.0× 38 0.5× 141 1.9× 28 0.4× 15 483
Anke Meyer Germany 12 161 0.8× 86 0.6× 40 0.5× 56 0.8× 48 0.7× 17 378
Ranran Shi China 11 125 0.6× 68 0.5× 33 0.4× 71 1.0× 43 0.6× 25 302
Yonggang Wu China 11 206 1.0× 100 0.7× 41 0.5× 63 0.9× 50 0.7× 24 338
Jiawei Yu China 11 232 1.2× 151 1.1× 19 0.2× 62 0.8× 18 0.3× 25 337
Jianjie Zhao China 11 194 1.0× 163 1.2× 46 0.6× 50 0.7× 68 1.0× 16 345
Sida Zhao China 11 209 1.0× 102 0.7× 64 0.8× 62 0.8× 36 0.5× 32 432

Countries citing papers authored by Dingyuan Luo

Since Specialization
Citations

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

Fields of papers citing papers by Dingyuan Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingyuan Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Dingyuan Luo. A scholar is included among the top collaborators of Dingyuan Luo 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 Dingyuan Luo. Dingyuan Luo 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.
Luo, Dingyuan. (2024). Exploration of the Construction of the Civic and Political Education in Engineering Geology Course. Journal of Contemporary Educational Research. 8(2). 14–18.
2.
Zhu, Yue, Shaojian Lin, Weiming Yu, et al.. (2022). Circular RNA_0057209 Acts as ceRNA to Inhibit Thyroid Cancer Progression by Promoting the STK4‐Mediated Hippo Pathway via Sponging MicroRNA‐183. Oxidative Medicine and Cellular Longevity. 2022(1). 9974639–9974639. 11 indexed citations
3.
Lanzi, Cecilia Rodríguez, Ran Wei, Dingyuan Luo, & Gerardo G. Mackenzie. (2021). Phospho-Aspirin (MDC-22) inhibits pancreatic cancer growth in patient-derived tumor xenografts and KPC mice by targeting EGFR: Enhanced efficacy in combination with irinotecan. Neoplasia. 24(2). 133–144. 5 indexed citations
4.
Lin, Shaojian, Yue Zhu, Chengcheng Ji, et al.. (2021). METTL3-Induced miR-222-3p Upregulation Inhibits STK4 and Promotes the Malignant Behaviors of Thyroid Carcinoma Cells. The Journal of Clinical Endocrinology & Metabolism. 107(2). 474–490. 20 indexed citations
5.
Long, Miaoyun, et al.. (2020). Lysine-Specific Demethylase 1 Affects the Progression of Papillary Thyroid Carcinoma via HIF1α and microRNA-146a. The Journal of Clinical Endocrinology & Metabolism. 105(7). 2237–2251. 14 indexed citations
6.
Lin, Shaojian, et al.. (2019). <p>Linc01278 inhibits the development of papillary thyroid carcinoma by regulating miR-376c-3p/DNM3 axis</p>. Cancer Management and Research. Volume 11. 8557–8569. 24 indexed citations
7.
Ji, Chengcheng, Shaojian Lin, Yue Zhu, et al.. (2019). Long non‐coding RNA TNRC6C‐AS1 promotes methylation of STK4 to inhibit thyroid carcinoma cell apoptosis and autophagy via Hippo signalling pathway. Journal of Cellular and Molecular Medicine. 24(1). 304–316. 26 indexed citations
8.
Luo, Dingyuan, et al.. (2019). Phospho-valproic acid (MDC-1112) suppresses glioblastoma growth in preclinical models through the inhibition of STAT3 phosphorylation. Carcinogenesis. 40(12). 1480–1491. 11 indexed citations
9.
Luo, Dingyuan, Ran Wei, Joseph F. LaComb, et al.. (2019). Phospho-valproic acid (MDC-1112) reduces pancreatic cancer growth in patient-derived tumor xenografts and KPC mice: enhanced efficacy when combined with gemcitabine. Carcinogenesis. 41(7). 927–939. 7 indexed citations
10.
Luo, Dingyuan, Xinke Xu, Junliang Li, et al.. (2018). The PDK1/c‑Jun pathway activated by TGF‑β induces EMT and promotes proliferation and invasion in human glioblastoma. International Journal of Oncology. 53(5). 2067–2080. 20 indexed citations
11.
Luo, Dingyuan, Shaojian Lin, Miaoyun Long, et al.. (2018). Oncogenic Ras/squamous cell carcinoma antigen signaling pathway activation promotes invasiveness and lymph node metastases in papillary thyroid carcinoma. Oncology Reports. 41(2). 1253–1263. 1 indexed citations
12.
Luo, Dingyuan, Haibo Chen, Xiaojuan Li, et al.. (2017). Activation of the ROCK1/MMP-9 pathway is associated with the invasion and poor prognosis in papillary thyroid carcinoma. International Journal of Oncology. 51(4). 1209–1218. 38 indexed citations
13.
Luo, Dingyuan, Wei Chen, Junliang Li, et al.. (2017). Serpin peptidase inhibitor, clade A member 3 (SERPINA3), is overexpressed in glioma and associated with poor prognosis in glioma patients. OncoTargets and Therapy. Volume 10. 2173–2181. 24 indexed citations
14.
Huang, Kai, et al.. (2017). Intraoperative nerve monitoring reduces recurrent laryngeal nerve injury in geriatric patients undergoing thyroid surgery. Acta Oto-Laryngologica. 137(12). 1275–1280. 12 indexed citations
15.
Chen, Haibo, Dingyuan Luo, Lin Zhang, et al.. (2017). Restoration of p53 using the novel MDM2-p53 antagonist APG115 suppresses dedifferentiated papillary thyroid cancer cells. Oncotarget. 8(26). 43008–43022. 24 indexed citations
16.
Long, Miaoyun, Dingyuan Luo, Mingqing Huang, et al.. (2016). A Carbon Nanoparticle Lymphatic Tracer Protected Parathyroid Glands During Radical Thyroidectomy for Papillary Thyroid Non-Microcarcinoma. Surgical Innovation. 24(1). 29–34. 14 indexed citations
17.
Luo, Dingyuan, Haibo Chen, Alan Li, et al.. (2016). CHI3L1 overexpression is associated with metastasis and is an indicator of poor prognosis in papillary thyroid carcinoma. Cancer Biomarkers. 18(3). 273–284. 24 indexed citations
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20.
Xing, Yue, et al.. (2014). High ALDH1A1 expression correlates with poor survival in papillary thyroid carcinoma. World Journal of Surgical Oncology. 12(1). 29–29. 17 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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