Yun He

827 total citations
35 papers, 621 citations indexed

About

Yun He is a scholar working on Cancer Research, Molecular Biology and Epidemiology. According to data from OpenAlex, Yun He has authored 35 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cancer Research, 17 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Yun He's work include Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (10 papers) and Hepatitis B Virus Studies (6 papers). Yun He is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (10 papers) and Hepatitis B Virus Studies (6 papers). Yun He collaborates with scholars based in China, United States and Spain. Yun He's co-authors include Gang Chen, Peng Lin, Dong‐yue Wen, Hong Yang, Xinjian Lin, Junqiang Chen, Hong Yang, Denghua Pan, Wannan Chen and Xu Lin and has published in prestigious journals such as The Journal of Immunology, Journal of Virology and American Journal Of Pathology.

In The Last Decade

Yun He

35 papers receiving 614 citations

Peers

Yun He

EPIDE

RNMI

PRM

Yihuan Luo China

Anand Rajan United States

Melissa M. Johnson United States

Maura O’Neil United States

Chi‐Juei Jeng Taiwan

Hongtao Jia China

Shakuntala Kondraganti United States

Bilge Aktaş Türkiye

Yacine Hajji France

Quentin Bayard France

Yihuan Luo China

Yun He

470 ×1.3

437 ×1.4

72 ×0.8

EPIDE

52 ×0.7

RNMI

115 ×1.8

PRM

Citations per year, relative to Yun He Yun He (= 1×) peers Yihuan Luo

Countries citing papers authored by Yun He

Since Specialization

Citations

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

Fields of papers citing papers by Yun He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun He

This figure shows the co-authorship network connecting the top 25 collaborators of Yun He. A scholar is included among the top collaborators of Yun He 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 Yun He. Yun He 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

Qin, Qiong, Peng Lin, Dun Liu, et al.. (2024). Development and validation of a multi-modal ultrasomics model to predict response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. BMC Medical Imaging. 24(1). 65–65. 2 indexed citations

Lin, Peng, Dong‐yue Wen, Wei Liao, et al.. (2022). Proteomics profiling of nontumor liver tissues identifies prognostic biomarkers in hepatitis B‐related hepatocellular carcinoma. Journal of Medical Virology. 95(1). e27732–e27732. 1 indexed citations

He, Yun, Wei Feng, Salah Adlat, et al.. (2022). Novel characterization discoveries of ferroptosis-associated molecules in COAD microenvironment based TCGA data. Frontiers in Molecular Biosciences. 9. 1102735–1102735. 7 indexed citations

Wu, Zhifen, et al.. (2022). Interaction Between Intrinsic Renal Cells and Immune Cells in the Progression of Acute Kidney Injury. Frontiers in Medicine. 9. 954574–954574. 9 indexed citations

Lin, Peng, et al.. (2021). Radiomic profiling of clear cell renal cell carcinoma reveals subtypes with distinct prognoses and molecular pathways. Translational Oncology. 14(7). 101078–101078. 11 indexed citations

Lin, Peng, Hao Jiang, Yujia Zhao, et al.. (2021). Increased infiltration of CD8 T cells in recurrent glioblastoma patients is a useful biomarker for assessing the response to combined bevacizumab and lomustine therapy. International Immunopharmacology. 97. 107826–107826. 8 indexed citations

Li, Fu, Denghua Pan, Yun He, et al.. (2020). Using ultrasound features and radiomics analysis to predict lymph node metastasis in patients with thyroid cancer. BMC Surgery. 20(1). 315–315. 55 indexed citations

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

Wu, Yunli, et al.. (2019). Microcystin-LR promotes necroptosis in primary mouse hepatocytes by overproducing reactive oxygen species. Toxicology and Applied Pharmacology. 377. 114626–114626. 20 indexed citations

10.

Li, Yun, Xiaoli Yan, Jiajian Shi, et al.. (2019). Aberrantly expressed miR-188-5p promotes gastric cancer metastasis by activating Wnt/β-catenin signaling. BMC Cancer. 19(1). 505–505. 33 indexed citations

11.

Guo, Ya, et al.. (2019). Comprehensive analysis of key genes and microRNAs in radioresistant nasopharyngeal carcinoma. BMC Medical Genomics. 12(1). 73–73. 15 indexed citations

12.

Liu, Wei, et al.. (2018). A Novel AKT Activator, SC79, Prevents Acute Hepatic Failure Induced by Fas-Mediated Apoptosis of Hepatocytes. American Journal Of Pathology. 188(5). 1171–1182. 27 indexed citations

13.

Liu, Wei, et al.. (2018). Hepatitis B Virus Surface Antigen Enhances the Sensitivity of Hepatocytes to Fas-Mediated Apoptosis via Suppression of AKT Phosphorylation. The Journal of Immunology. 201(8). 2303–2314. 25 indexed citations

14.

Lin, Peng, Dong‐yue Wen, Qing Li, et al.. (2018). Genome-Wide Analysis of Prognostic lncRNAs, miRNAs, and mRNAs Forming a Competing Endogenous RNA Network in Hepatocellular Carcinoma. Cellular Physiology and Biochemistry. 48(5). 1953–1967. 47 indexed citations

15.

Liu, Wei, Yun He, Yunli Wu, et al.. (2018). Hepatitis B Virus X Protein Increases 8-Oxo-7,8-Dihydro-2ʹ-Deoxyguanosine (8-Oxodg) Level via Repressing MTH1/ MTH2 Expression in Hepatocytes. Cellular Physiology and Biochemistry. 51(1). 80–96. 20 indexed citations

16.

Lin, Peng, Dong‐yue Wen, Yi‐Wu Dang, et al.. (2018). Comprehensive and Integrative Analysis Reveals the Diagnostic, Clinicopathological and Prognostic Significance of Polo-Like Kinase 1 in Hepatocellular Carcinoma. Cellular Physiology and Biochemistry. 47(3). 925–947. 17 indexed citations

17.

Li, Hongmei, Hong Yang, Dong‐yue Wen, et al.. (2017). Overexpression of LncRNA HOTAIR is Associated with Poor Prognosis in Thyroid Carcinoma: A Study Based on TCGA and GEO Data. Hormone and Metabolic Research. 49(5). 388–399. 42 indexed citations

18.

Cai, Zhenzhai, Kezhi Lin, Shuzhi Zheng, et al.. (2016). Human cytomegalovirus-encoded US28 may act as a tumor promoter in colorectal cancer. World Journal of Gastroenterology. 22(9). 2789–2789. 21 indexed citations

19.

He, Yun, Lingling Zhou, Yunfeng Shan, et al.. (2016). High Rab11-FIP4 expression predicts poor prognosis and exhibits tumor promotion in pancreatic cancer. International Journal of Oncology. 50(2). 396–404. 13 indexed citations

20.

Wu, Tao, Jie Ren, Shuzhen Cong, et al.. (2014). Accuracy of Real-Time Tissue Elastography for the Evaluation of Hepatic Fibrosis in Patients with Chronic Hepatitis B: A Prospective Multicenter Study. Digestive Diseases. 32(6). 791–799. 14 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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