Yuan‐Jia Chen

1.1k total citations
31 papers, 768 citations indexed

About

Yuan‐Jia Chen is a scholar working on Epidemiology, Oncology and Neurology. According to data from OpenAlex, Yuan‐Jia Chen has authored 31 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 19 papers in Oncology and 11 papers in Neurology. Recurrent topics in Yuan‐Jia Chen's work include Neuroendocrine Tumor Research Advances (21 papers), Neuroblastoma Research and Treatments (11 papers) and Lung Cancer Research Studies (11 papers). Yuan‐Jia Chen is often cited by papers focused on Neuroendocrine Tumor Research Advances (21 papers), Neuroblastoma Research and Treatments (11 papers) and Lung Cancer Research Studies (11 papers). Yuan‐Jia Chen collaborates with scholars based in China, United States and United Kingdom. Yuan‐Jia Chen's co-authors include Robert T. Jensen, Alexander O. Vortmeyer, Fathia Gibril, Zhengping Zhuang, James C. Reynolds, Paolo L. Peghini, Irina A. Lubensky, Adeline Louie, David S. Schrump and Mark Raffeld and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology and The Science of The Total Environment.

In The Last Decade

Yuan‐Jia Chen

30 papers receiving 753 citations

Peers

Yuan‐Jia Chen

EPIDE

ONCOL

NEURO

EDM

Concetta Sciammarella Italy

M Schlumberger France

H. H. Hansen Denmark

Anthony Rizzo United States

David López United States

Shinsuke Uraki Japan

Maja Walier Germany

Rita Domingues Portugal

G. F. W. Scheumann Germany

Ana Serrano-Somavilla Spain

Concetta Sciammarella Italy

Yuan‐Jia Chen

284 ×0.6

EPIDE

412 ×1.0

ONCOL

164 ×0.4

NEURO

118 ×0.8

198 ×2.0

EDM

Citations per year, relative to Yuan‐Jia Chen Yuan‐Jia Chen (= 1×) peers Concetta Sciammarella

Countries citing papers authored by Yuan‐Jia Chen

Since Specialization

Citations

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

Fields of papers citing papers by Yuan‐Jia Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan‐Jia Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Jia Chen. A scholar is included among the top collaborators of Yuan‐Jia 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 Yuan‐Jia Chen. Yuan‐Jia 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

Li, Yao, Kate M. Buckeridge, Baorong Wang, et al.. (2025). Grazing exclusion enhanced the capability of soil microorganisms to access photosynthetic carbon in Loess Plateau grassland. Soil Biology and Biochemistry. 203. 109743–109743. 4 indexed citations

Ao, Deng, Baorong Wang, Y. W. Wang, et al.. (2024). Grassland degraded patchiness reduces microbial necromass content but increases contribution to soil organic carbon accumulation. The Science of The Total Environment. 951. 175717–175717. 11 indexed citations

Zhao, Dachun, et al.. (2024). SQSTM1/p62 is a prognostic molecular marker and potential therapeutic target for pancreatic neuroendocrine tumours. Endocrine. 85(1). 407–416. 1 indexed citations

Cheng, Wei, Yonghui Liao, Yuan Xie, et al.. (2023). Helicobacter pylori-induced fibroblast-derived Serpin E1 promotes gastric cancer growth and peritoneal dissemination through p38 MAPK/VEGFA-mediated angiogenesis. Cancer Cell International. 23(1). 326–326. 8 indexed citations

Luo, Mei, Yuan‐Jia Chen, Yuan Xie, et al.. (2022). Dickkopf-related protein 1/cytoskeleton-associated protein 4 signaling activation by Helicobacter pylori-induced activator protein-1 promotes gastric tumorigenesis via the PI3K/AKT/mTOR pathway. World Journal of Gastroenterology. 28(47). 6769–6787. 4 indexed citations

Xu, Jin, Dachun Zhao, Taiping Zhang, et al.. (2021). Mutation and Expression of Gene YY1 in Pancreatic Neuroendocrine Tumors and Its Clinical Significance. Endocrine Practice. 27(9). 874–880. 5 indexed citations

Wu, Haiyan, Naishi Li, Chunmei Bai, et al.. (2020). Plasma levels of acylated ghrelin in patients with insulinoma and expression of ghrelin and its receptor in insulinomas. Endocrine. 68(2). 448–457. 5 indexed citations

Gao, Heli, Yuejuan Cheng, Yuan‐Jia Chen, et al.. (2019). The expression of versican and its role in pancreatic neuroendocrine tumors. Pancreatology. 20(1). 142–147. 6 indexed citations

Wang, Yuhong, Yuan‐Jia Chen, Xiaoxing Li, et al.. (2018). Loss of expression and prognosis value of alpha-internexin in gastroenteropancreatic neuroendocrine neoplasm. BMC Cancer. 18(1). 691–691. 10 indexed citations

10.

Zhu, Li, Laura H. Tang, Xinwei Qiao, et al.. (2016). Differences and Similarities in the Clinicopathological Features of Pancreatic Neuroendocrine Tumors in China and the United States. Medicine. 95(7). e2836–e2836. 49 indexed citations

11.

Yu, Run, et al.. (2016). A Clinicopathological Study of Malignant Insulinoma in a Contemporary Series. Pancreas. 46(1). 48–56. 19 indexed citations

12.

Bonnavion, Rémy, Emmanuelle Leteurtre, Yuan‐Jia Chen, et al.. (2015). Islet Cells Serve as Cells of Origin of Pancreatic Gastrin-Positive Endocrine Tumors. Molecular and Cellular Biology. 35(19). 3274–3283. 11 indexed citations

13.

Liu, Bei, Laura H. Tang, Zhaojun Liu, et al.. (2014). α-Internexin: A Novel Biomarker for Pancreatic Neuroendocrine Tumor Aggressiveness. The Journal of Clinical Endocrinology & Metabolism. 99(5). E786–E795. 26 indexed citations

14.

Qiao, Xinwei, Ling Qiu, Yuan‐Jia Chen, et al.. (2014). Chromogranin A is a reliable serum diagnostic biomarker for pancreatic neuroendocrine tumors but not for insulinomas. BMC Endocrine Disorders. 14(1). 64–64. 38 indexed citations

15.

Liu, Dan, Bin Yin, Qiang Wang, et al.. (2012). Cytoplasmic Poly(A) Binding Protein 4 Is Highly Expressed in Human Colorectal Cancer and Correlates with Better Prognosis. Journal of genetics and genomics. 39(8). 369–374. 16 indexed citations

16.

Mei, Mei, Yuan‐Jia Chen, Li Zhu, et al.. (2009). Expression and clinical implications of hMSH2 gene in sporadic insnlinomns. 9(1). 5–8. 1 indexed citations

17.

Lu, Zhaohui, et al.. (2007). Plasma Proteomic Analysis of Pancreatic Cancer by 2-Dimensional Gel Electrophoresis. Pancreas. 34(3). 310–317. 22 indexed citations

18.

Liu, Tonghua, Yuan‐Jia Chen, Jiaming Qian, et al.. (2005). Chromosome 1q loss of heterozygosity frequently occurs in sporadic insulinomas and is associated with tumor malignancy. International Journal of Cancer. 117(2). 234–240. 17 indexed citations

19.

Chen, Yuan‐Jia, Alexander O. Vortmeyer, Zhengping Zhuang, Fathia Gibril, & Robert T. Jensen. (2004). X‐chromosome loss of heterozygosity frequently occurs in gastrinomas and is correlated with aggressive tumor growth. Cancer. 100(7). 1379–1387. 15 indexed citations

20.

Chen, Yuan‐Jia, Nicholas J. Patronas, Paolo L. Peghini, et al.. (2004). Meningiomas May Be a Component Tumor of Multiple Endocrine Neoplasia Type 1. Clinical Cancer Research. 10(3). 869–880. 73 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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