Fen Yun

570 total citations
11 papers, 387 citations indexed

About

Fen Yun is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Fen Yun has authored 11 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Fen Yun's work include Cancer Cells and Metastasis (3 papers), Cancer-related molecular mechanisms research (3 papers) and Cancer-related Molecular Pathways (2 papers). Fen Yun is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Cancer-related molecular mechanisms research (3 papers) and Cancer-related Molecular Pathways (2 papers). Fen Yun collaborates with scholars based in China, Mongolia and Belgium. Fen Yun's co-authors include Lin Shi, Yongfeng Jia, Yongxia Chen, Yulong Bao, Chen Chen, Li Wang, Xia Liu, Xia Liu, Maoqiao Xiang and Qingshan Zhu and has published in prestigious journals such as Journal of the American Ceramic Society, Evidence-based Complementary and Alternative Medicine and Annals of Medicine.

In The Last Decade

Fen Yun

10 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fen Yun China	5	233	148	88	86	41	11	387
Daiva Dabkevičienė Lithuania	10	167 0.7×	89 0.6×	73 0.8×	77 0.9×	29 0.7×	29	336
Aušra Sasnauskienė Lithuania	10	198 0.8×	91 0.6×	87 1.0×	76 0.9×	49 1.2×	23	366
Xiaoran Guo China	12	332 1.4×	181 1.2×	72 0.8×	52 0.6×	40 1.0×	19	526
Chanida Vinayanuwattikun Thailand	13	214 0.9×	116 0.8×	119 1.4×	92 1.1×	30 0.7×	42	381
Bowen Li China	13	264 1.1×	185 1.3×	135 1.5×	67 0.8×	55 1.3×	41	500
Zhousan Zheng China	10	255 1.1×	153 1.0×	58 0.7×	64 0.7×	17 0.4×	16	347
Yumei Li China	14	295 1.3×	228 1.5×	131 1.5×	66 0.8×	88 2.1×	33	528
Ting‐Yu Chang Taiwan	10	274 1.2×	181 1.2×	46 0.5×	67 0.8×	27 0.7×	22	479
Yaqing Liu China	9	172 0.7×	161 1.1×	55 0.6×	27 0.3×	53 1.3×	26	449

Countries citing papers authored by Fen Yun

Since Specialization

Citations

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

Fields of papers citing papers by Fen Yun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fen Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Fen Yun. A scholar is included among the top collaborators of Fen Yun 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 Fen Yun. Fen Yun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Yun, Fen, et al.. (2024). Research progress on the mechanism of common inflammatory pathways in the pathogenesis and development of lymphoma. Annals of Medicine. 56(1). 2329130–2329130. 2 indexed citations

Yun, Fen, et al.. (2023). Landscape of costimulatory molecule signature in breast cancer and its prognostic significance. Annals of Translational Medicine. 11(2). 59–59. 1 indexed citations

Yang, Kai, et al.. (2023). SOX10 promotes the malignant biological behavior of basal-like breast cancer cells by regulating EMT process. Heliyon. 9(12). e23162–e23162. 2 indexed citations

Huang, Ting, et al.. (2021). The Impact of Belt and Road Initiative in Cultivating International Students in Chinese Universities. European Journal of Business and Management.

Yun, Fen, et al.. (2020). XCHD Inhibits C6 Cell Growth Primarily via the p53/Caspase Pathway. Evidence-based Complementary and Alternative Medicine. 2020(1). 7973639–7973639. 4 indexed citations

Bao, Yulong, Li Wang, Lin Shi, et al.. (2019). Transcriptome profiling revealed multiple genes and ECM-receptor interaction pathways that may be associated with breast cancer. Cellular & Molecular Biology Letters. 24(1). 38–38. 241 indexed citations

Jia, Yongfeng, Lin Shi, Fen Yun, et al.. (2019). Transcriptome sequencing profiles reveal lncRNAs may involve in breast cancer (ER/PR positive type) by interaction with RAS associated genes. Pathology - Research and Practice. 215(6). 152405–152405. 14 indexed citations

Xiang, Maoqiao, Qingshan Zhu, Chaoquan Hu, et al.. (2019). Facile synthesis of high‐melting point spherical TiC and TiN powders at low temperature. Journal of the American Ceramic Society. 103(2). 889–898. 24 indexed citations

Liu, Xia, et al.. (2015). Roles of Signaling Pathways in the Epithelial-Mesenchymal Transition in Cancer. Asian Pacific Journal of Cancer Prevention. 16(15). 6201–6206. 78 indexed citations

10.

Jia, Yongfeng, Di Wu, Fen Yun, et al.. (2014). Transforming growth factor-β1 regulates epithelial-mesenchymal transition in association with cancer stem-like cells in a breast cancer cell line.. PubMed. 7(4). 865–72. 4 indexed citations

11.

Yun, Fen, Yongfeng Jia, Xiuxia Li, et al.. (2013). Clinicopathological significance of PTEN and PI3K/AKT signal transduction pathway in non-small cell lung cancer.. PubMed. 6(10). 2112–20. 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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