Yun Feng

1.4k total citations
42 papers, 567 citations indexed

About

Yun Feng is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yun Feng has authored 42 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Pediatrics, Perinatology and Child Health and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yun Feng's work include Reproductive Biology and Fertility (8 papers), Prenatal Screening and Diagnostics (5 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). Yun Feng is often cited by papers focused on Reproductive Biology and Fertility (8 papers), Prenatal Screening and Diagnostics (5 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). Yun Feng collaborates with scholars based in China, United States and Netherlands. Yun Feng's co-authors include Sang‐Hun Oh, Zhigang Xue, Paul S. Manos, Xiaowen Tong, Dayong Wang, Suwen Wei, Francesc Avilés, Lloyd D. Fricker, Yunxia Cao and Qiwei Liu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Yun Feng

41 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Feng China 14 195 112 96 70 64 42 567
Justin D. Vidal United States 16 154 0.8× 119 1.1× 161 1.7× 117 1.7× 49 0.8× 33 735
Ken Takeshi Kusakabe Japan 13 158 0.8× 71 0.6× 125 1.3× 164 2.3× 75 1.2× 64 580
Xiaoxue Yang China 17 308 1.6× 61 0.5× 56 0.6× 83 1.2× 95 1.5× 39 721
Robert K. Dearth United States 18 351 1.8× 66 0.6× 155 1.6× 36 0.5× 92 1.4× 40 1.0k
Xiaohui Li China 14 292 1.5× 295 2.6× 275 2.9× 79 1.1× 26 0.4× 43 756
Yanling Hu China 16 389 2.0× 69 0.6× 86 0.9× 153 2.2× 17 0.3× 68 899
Seunghyung Lee South Korea 13 405 2.1× 101 0.9× 93 1.0× 68 1.0× 108 1.7× 55 955
Ihtisham Bukhari China 16 350 1.8× 94 0.8× 133 1.4× 64 0.9× 34 0.5× 51 724
Jiawei Xu China 13 276 1.4× 42 0.4× 40 0.4× 47 0.7× 62 1.0× 62 520
Winnie Shum United States 19 421 2.2× 226 2.0× 318 3.3× 82 1.2× 40 0.6× 30 866

Countries citing papers authored by Yun Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Feng. A scholar is included among the top collaborators of Yun Feng 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 Feng. Yun Feng 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.
Feng, Yun, Li Zhu, Mianbin Wu, et al.. (2024). Improving the production of carbamoyltobramycin by an industrial Streptoalloteichus tenebrarius through metabolic engineering. Applied Microbiology and Biotechnology. 108(1). 304–304. 1 indexed citations
2.
Li, Xuebin, Jingjie Zhao, Yun Feng, et al.. (2022). Intestinal flora induces depression by mediating the dysregulation of cerebral cortex gene expression and regulating the metabolism of stroke patients. Frontiers in Molecular Biosciences. 9. 865788–865788. 10 indexed citations
3.
Feng, Yun, et al.. (2021). Potential Genes and Mechanisms Linking Intracerebral Hemorrhage and Depression: A Bioinformatics-Based Study. International Journal of General Medicine. Volume 14. 1213–1226. 3 indexed citations
4.
Zhang, Jian, Zhixiong Wang, Yun Feng, et al.. (2020). Transcriptome hallmarks in Helicobacter pylori infection influence gastric cancer and MALT lymphoma. Epigenomics. 12(8). 661–671. 17 indexed citations
5.
Feng, Yun, et al.. (2019). Complete placenta previa in the second trimester: clinical and sonographic factors associated with its resolution. Ginekologia Polska. 90(9). 539–543. 3 indexed citations
6.
Feng, Yun, Wei Li, Juan Xiao, et al.. (2019). The potential role of pregnancy-associated plasma protein-A2 in angiogenesis and development of preeclampsia. Hypertension Research. 42(7). 970–980. 16 indexed citations
7.
Zheng, Hui, et al.. (2018). Pediatric Langerhans cell histiocytosis of the temporal bone: clinical and imaging studies of 27 cases. World Journal of Surgical Oncology. 16(1). 72–72. 13 indexed citations
8.
9.
Feng, Yun, Xueyin Li, Juan Xiao, et al.. (2017). Relationship between placenta location and resolution of second trimester placenta previa. Journal of Huazhong University of Science and Technology [Medical Sciences]. 37(3). 390–394. 6 indexed citations
10.
Xu, Shuyang, Xianmin Zhu, Hong Li, et al.. (2016). The 14th Ile residue is essential for Leptin function in regulating energy homeostasis in rat. Scientific Reports. 6(1). 28508–28508. 9 indexed citations
11.
Liu, Qiwei, Yumei Li, Yun Feng, et al.. (2016). Single-cell analysis of differences in transcriptomic profiles of oocytes and cumulus cells at GV, MI, MII stages from PCOS patients. Scientific Reports. 6(1). 39638–39638. 67 indexed citations
12.
Liu, Jianbing, Chunling Shen, Weimin Fan, et al.. (2016). Low levels of PRSS37 protein in sperm are associated with many cases of unexplained male infertility. Acta Biochimica et Biophysica Sinica. 48(11). 1058–1065. 20 indexed citations
13.
Ge, Jianping, Xudong Ren, Xianmin Zhu, et al.. (2015). Cav1.2 of L-type Calcium Channel Is a Key Factor for the Differentiation of Dental Pulp Stem Cells. Journal of Endodontics. 41(7). 1048–1055. 27 indexed citations
14.
Xu, Meng, et al.. (2015). Chemoreversal Metabolites from the Endophytic Fungus Penicillium citrinum Isolated from a Mangrove Avicennia marina. Natural Product Communications. 10(7). 1203–5. 6 indexed citations
15.
Feng, Yun, et al.. (2014). Gender difference in protein expression of vascular wall in mice exposed to chronic intermittent hypoxia: a preliminary study. Genetics and Molecular Research. 13(4). 8489–8501. 10 indexed citations
16.
Ge, Jianping, et al.. (2013). Distal C Terminus of CaV1.2 Channels Plays a Crucial Role in the Neural Differentiation of Dental Pulp Stem Cells. PLoS ONE. 8(11). e81332–e81332. 12 indexed citations
17.
18.
Niu, Zhihong, Yun Feng, Aijun Zhang, Yijuan Sun, & Huiqin Zhang. (2008). Progesterone levels on oocyte retrieval day can predict the quantity of viable embryos but not pregnancy outcome of intracytoplasmic sperm injection. Gynecological Endocrinology. 24(8). 452–458. 12 indexed citations
19.
Feng, Yun, et al.. (2008). Microfluidic Devices for Investigating Stem Cell Gene Regulation via Single-Cell Analysis. Current Medicinal Chemistry. 15(28). 2897–2900. 15 indexed citations
20.
Wei, Suwen, Sònia Segura, Josep Vendrell, et al.. (2002). Identification and Characterization of Three Members of the Human Metallocarboxypeptidase Gene Family. Journal of Biological Chemistry. 277(17). 14954–14964. 62 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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