Yu‐Yan Pang

488 total citations
32 papers, 359 citations indexed

About

Yu‐Yan Pang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yu‐Yan Pang has authored 32 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yu‐Yan Pang's work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (10 papers) and RNA modifications and cancer (10 papers). Yu‐Yan Pang is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (10 papers) and RNA modifications and cancer (10 papers). Yu‐Yan Pang collaborates with scholars based in China and United States. Yu‐Yan Pang's co-authors include Gang Chen, Hong Yang, Dong‐yue Wen, Peng Lin, Yun He, Dandan Xiong, Jiang‐Hui Zeng, Zhihua Ye, Rong‐Quan He and Zhen‐Bo Feng and has published in prestigious journals such as Oncotarget, Frontiers in Pharmacology and Frontiers in Oncology.

In The Last Decade

Yu‐Yan Pang

29 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Yan Pang China 12 258 222 42 38 37 32 359
Chunjuan Zhao China 9 257 1.0× 194 0.9× 46 1.1× 44 1.2× 27 0.7× 12 360
Fuchao Ma China 13 319 1.2× 223 1.0× 60 1.4× 50 1.3× 20 0.5× 25 407
Xiaochuang Feng China 7 216 0.8× 139 0.6× 71 1.7× 48 1.3× 21 0.6× 16 310
Jicheng Xing China 6 286 1.1× 249 1.1× 37 0.9× 47 1.2× 14 0.4× 6 382
Runyi Ye China 12 192 0.7× 142 0.6× 66 1.6× 45 1.2× 20 0.5× 15 306
Xu Lu China 9 271 1.1× 209 0.9× 43 1.0× 27 0.7× 27 0.7× 10 371
Wei‐Jia Mo China 12 272 1.1× 208 0.9× 47 1.1× 76 2.0× 20 0.5× 30 352
Shi-Zhe Zhang China 6 215 0.8× 190 0.9× 49 1.2× 38 1.0× 23 0.6× 8 319
Lifeng Wang China 8 323 1.3× 290 1.3× 63 1.5× 47 1.2× 24 0.6× 18 440
Yemei Song China 10 404 1.6× 324 1.5× 30 0.7× 52 1.4× 27 0.7× 15 482

Countries citing papers authored by Yu‐Yan Pang

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Yan Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Yan Pang. 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 Yu‐Yan Pang. The network helps show where Yu‐Yan Pang may publish in the future.

Co-authorship network of co-authors of Yu‐Yan Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Yan Pang. A scholar is included among the top collaborators of Yu‐Yan Pang 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 Yu‐Yan Pang. Yu‐Yan Pang 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.
Song, Chang W., Yu‐Yan Pang, Bin Li, et al.. (2025). Molecular mechanisms of thymopoietin in papillary thyroid cancer: Multiplatform gene expression data, gene knockout screening, and in-house immunohistochemistry. World Journal of Clinical Oncology. 16(7). 107109–107109. 1 indexed citations
2.
Pang, Yu‐Yan, Dongming Li, Peihao Yin, et al.. (2025). Checkpoint kinase 1 in colorectal cancer: Upregulation of expression and promotion of cell proliferation. World Journal of Clinical Oncology. 16(3). 101725–101725. 1 indexed citations
3.
4.
Song, Chang Myeon, Yu‐Yan Pang, Rong‐Quan He, et al.. (2024). Historical context, process, and development trends of pediatric thyroid cancer research: a bibliometric analysis. Frontiers in Oncology. 14. 1340872–1340872.
5.
Chen, Gang, Jianyan Long, Dandan Xiong, et al.. (2024). The impact of preoperative calcitonin screening on the prognosis of patients with medullary thyroid cancer: a retrospective multicenter cohort study. Endocrine. 85(2). 827–836. 3 indexed citations
6.
Huang, Zhi‐Guang, Juan He, Lin Shi, et al.. (2024). Comprehensive transcriptome and scRNA‐seq analyses uncover the expression and underlying mechanism of SYNJ2 in papillary thyroid carcinoma. IET Systems Biology. 18(5). 183–198. 1 indexed citations
7.
Xiong, Dandan, Rong‐Quan He, Zhi‐Guang Huang, et al.. (2024). Bibliometric study of the application of the chicken embryo chorioallantoic membrane model in cancer research: the top 100 most cited articles. Journal of Comparative Pathology. 213. 59–72. 1 indexed citations
8.
Liu, Yihao, Fenghua Lai, Bo Lin, et al.. (2023). Deep learning to predict cervical lymph node metastasis from intraoperative frozen section of tumour in papillary thyroid carcinoma: a multicentre diagnostic study. EClinicalMedicine. 60. 102007–102007. 8 indexed citations
9.
Pang, Yu‐Yan, et al.. (2023). Physalis pubescens L. branch and leaf extracts inhibit lymphoma proliferation by inducing apoptosis and cell cycle arrest. Frontiers in Pharmacology. 14. 1192225–1192225.
10.
Lu, Huiping, Jian‐Di Li, Gang Chen, et al.. (2021). Clinical Implication of E2F Transcription Factor 1 in Hepatocellular Carcinoma Tissues. Cancer Biotherapy and Radiopharmaceuticals. 38(10). 684–707. 6 indexed citations
11.
Huang, Su-Ning, Gang Chen, Yu‐Yan Pang, et al.. (2020). Clinicopathological value and underlying molecular mechanism of annexin A2 in 992 cases of thyroid carcinoma. Computational Biology and Chemistry. 86. 107258–107258. 8 indexed citations
12.
Pang, Yu‐Yan, Gang Chen, Huayu Wu, et al.. (2020). Downregulation of miR-199a-3p in Hepatocellular Carcinoma and Its Relevant Molecular Mechanism via GEO, TCGA Database and In Silico Analyses. Technology in Cancer Research & Treatment. 19. 1079247318–1079247318. 6 indexed citations
13.
Guo, Wanping, Gang Chen, Peng Lin, et al.. (2020). Clinical significance of CCNE2 protein and mRNA expression in thyroid cancer tissues. Advances in Medical Sciences. 65(2). 442–456. 10 indexed citations
14.
Guo, Wanping, Yu‐Yan Pang, Xiao‐Jiao Li, et al.. (2020). Immunohistochemical basigin expression level in thyroid cancer tissues. World Journal of Surgical Oncology. 18(1). 240–240. 4 indexed citations
15.
Gao, Li, Yu‐Yan Pang, Jingjing Zeng, et al.. (2020). Polo like kinase 1 expression in cervical cancer tissues generated from multiple detection methods. PeerJ. 8. e10458–e10458. 12 indexed citations
16.
Lin, Peng, Yu‐Yan Pang, Huayu Wu, et al.. (2019). Clinical roles of miR-136-5p and its target metadherin in thyroid carcinoma.. PubMed Central. 11(11). 6754–6774. 17 indexed citations
17.
18.
Ye, Zhihua, Li Gao, Dong‐yue Wen, et al.. (2017). Diagnostic and prognostic roles of IRAK1 in hepatocellular carcinoma tissues: an analysis of immunohistochemistry and RNA-sequencing data from the cancer genome atlas. OncoTargets and Therapy. Volume 10. 1711–1723. 23 indexed citations
19.
Gao, Li, Shenghua Li, Qingqing Zhu, et al.. (2017). Role of downregulated miR-133a-3p expression in bladder cancer: a bioinformatics study. OncoTargets and Therapy. Volume 10. 3667–3683. 29 indexed citations
20.
Zhang, Lu, Lanshan Huang, Hai‐Wei Liang, et al.. (2017). Clinical value and potential targets of miR-224-5p in hepatocellular carcinoma validated by a TCGA- and GEO- based study.. PubMed. 10(9). 9970–9989. 2 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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