Kunyan He

975 total citations
31 papers, 706 citations indexed

About

Kunyan He is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kunyan He has authored 31 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Kunyan He's work include MicroRNA in disease regulation (4 papers), Single-cell and spatial transcriptomics (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Kunyan He is often cited by papers focused on MicroRNA in disease regulation (4 papers), Single-cell and spatial transcriptomics (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Kunyan He collaborates with scholars based in China, United States and Australia. Kunyan He's co-authors include Keqiang Ye, Sung‐Wuk Jang, Hongbo R. Luo, Ze‐Guang Han, Yonghui Jia, Stefan France, Ge� Xiao, Xia Liu, Junjian Huang and Chi-Bun Chan and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Kunyan He

31 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunyan He China 15 335 118 88 77 77 31 706
Anna Zacco United States 6 418 1.2× 135 1.1× 53 0.6× 138 1.8× 53 0.7× 9 798
Jessica Wei United States 13 461 1.4× 88 0.7× 133 1.5× 94 1.2× 119 1.5× 16 872
M. Reza Taheri United States 8 448 1.3× 91 0.8× 133 1.5× 57 0.7× 68 0.9× 23 1.1k
Richelle Hemendinger United States 14 374 1.1× 84 0.7× 147 1.7× 31 0.4× 43 0.6× 17 752
Bénédicte Foveau Canada 18 850 2.5× 144 1.2× 187 2.1× 164 2.1× 90 1.2× 25 1.3k
Izumi V. Hinkson United States 9 340 1.0× 51 0.4× 69 0.8× 40 0.5× 65 0.8× 9 762
Andrea Rittger Germany 13 475 1.4× 239 2.0× 80 0.9× 174 2.3× 84 1.1× 13 1.1k
Danyun Zhao United States 14 263 0.8× 147 1.2× 107 1.2× 29 0.4× 79 1.0× 22 680
Bruna Barneda‐Zahonero Spain 15 732 2.2× 158 1.3× 128 1.5× 139 1.8× 82 1.1× 23 1.0k

Countries citing papers authored by Kunyan He

Since Specialization
Citations

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

Fields of papers citing papers by Kunyan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunyan He

This figure shows the co-authorship network connecting the top 25 collaborators of Kunyan He. A scholar is included among the top collaborators of Kunyan 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 Kunyan He. Kunyan He 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.
Cui, Xiaofang, Xueying Shang, Zhanyun Tang, et al.. (2023). Cooperation between IRTKS and deubiquitinase OTUD4 enhances the SETDB1-mediated H3K9 trimethylation that promotes tumor metastasis via suppressing E-cadherin expression. Cancer Letters. 575. 216404–216404. 10 indexed citations
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Cheng, Sheng, Man Zhang, Shihao Bai, et al.. (2023). Single‐cell RNA sequencing reveals the heterogeneity and intercellular communication of hepatic stellate cells and macrophages during liver fibrosis. SHILAP Revista de lepidopterología. 4(5). e378–e378. 22 indexed citations
5.
Su, Xianbin, Shihao Bai, Gangcai Xie, et al.. (2022). Accurate tumor clonal structures require single‐cell analysis. Annals of the New York Academy of Sciences. 1517(1). 213–224. 4 indexed citations
6.
Song, Hao, Chao Lou, Zhuowei Tian, et al.. (2022). Single-Cell Transcriptome Analysis Reveals Changes of Tumor Immune Microenvironment in Oral Squamous Cell Carcinoma After Chemotherapy. Frontiers in Cell and Developmental Biology. 10. 914120–914120. 21 indexed citations
7.
Wu, Jiaoxiang, Kunyan He, Zhuangzhuang Zhang, et al.. (2021). LZP is required for hepatic triacylglycerol transportation through maintaining apolipoprotein B stability. PLoS Genetics. 17(2). e1009357–e1009357. 15 indexed citations
8.
He, Kunyan, Guangxing Wang, Linan Zhao, et al.. (2021). Cinobufagin Is a Selective Anti-Cancer Agent against Tumors with EGFR Amplification and PTEN Deletion. Frontiers in Pharmacology. 12. 775602–775602. 9 indexed citations
9.
Su, Xianbin, Qi Long, Juanjie Bo, et al.. (2020). Mutational and transcriptomic landscapes of a rare human prostate basal cell carcinoma. The Prostate. 80(6). 508–517. 14 indexed citations
10.
Zhang, Man, Yahui Wang, Kun Tao, et al.. (2020). Activation of BK Channels Prevents Hepatic Stellate Cell Activation and Liver Fibrosis Through the Suppression of TGFβ1/SMAD3 and JAK/STAT3 Profibrotic Signaling Pathways. Frontiers in Pharmacology. 11. 165–165. 26 indexed citations
11.
Su, Xianbin, Yi Shi, Xin Zou, et al.. (2017). Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development. BMC Genomics. 18(1). 946–946. 54 indexed citations
12.
Jiang, Shu‐Heng, Jiahua Wang, Xiaomei Yang, et al.. (2017). Structural diversity of anti-pancreatic cancer capsimycins identified in mangrove-derived Streptomyces xiamenensis 318 and post-modification via a novel cytochrome P450 monooxygenase. Scientific Reports. 7(1). 40689–40689. 34 indexed citations
13.
He, Kunyan, Chunlin Cai, Yin Tang, et al.. (2016). Human EAG channels are directly modulated by PIP2 as revealed by electrophysiological and optical interference investigations. Scientific Reports. 6(1). 23417–23417. 16 indexed citations
14.
Wang, Xiaosheng, Yue Zhang, Ze‐Guang Han, & Kunyan He. (2016). Malignancy of Cancers and Synthetic Lethal Interactions Associated With Mutations of Cancer Driver Genes. Medicine. 95(8). e2697–e2697. 12 indexed citations
15.
Shi, Yi, et al.. (2016). Chromatin accessibility contributes to simultaneous mutations of cancer genes. Scientific Reports. 6(1). 35270–35270. 14 indexed citations
16.
Jiang, Tingting, et al.. (2015). hcrcn81 promotes cell proliferation through Wnt signaling pathway in colorectal cancer. Medical Oncology. 33(1). 3–3. 7 indexed citations
17.
Qi, Qi, Kunyan He, Chi-Bun Chan, et al.. (2012). Acridine Yellow G Blocks Glioblastoma Growth via Dual Inhibition of Epidermal Growth Factor Receptor and Protein Kinase C Kinases. Journal of Biological Chemistry. 287(9). 6113–6127. 9 indexed citations
18.
He, Kunyan, Chi-Bun Chan, Xia Liu, et al.. (2011). Identification of a Molecular Activator for Insulin Receptor with Potent Anti-diabetic Effects. Journal of Biological Chemistry. 286(43). 37379–37388. 28 indexed citations
19.
He, Kunyan, et al.. (2011). Akt-phosphorylated PIKE-A inhibits UNC5B-induced apoptosis in cancer cell lines in a p53-dependent manner. Molecular Biology of the Cell. 22(11). 1943–1954. 38 indexed citations
20.
Chan, Chi Bun, Xia Liu, Kunyan He, et al.. (2011). The association of phosphoinositide 3‐kinase enhancer A with hepatic insulin receptor enhances its kinase activity. EMBO Reports. 12(8). 847–854. 11 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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