Feng Xing

1.1k total citations
20 papers, 644 citations indexed

About

Feng Xing is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Feng Xing has authored 20 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Feng Xing's work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (4 papers) and Circular RNAs in diseases (4 papers). Feng Xing is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (4 papers) and Circular RNAs in diseases (4 papers). Feng Xing collaborates with scholars based in China, United States and United Kingdom. Feng Xing's co-authors include Christine A. Pratilas, David B. Solit, Madhavi Tadi, Weiqing Wang, Eric W. Joseph, Poulikos I. Poulikakos, Gideon Bollag, Ensar Halilovic, Neal Rosen and James Tsai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Biochemical and Biophysical Research Communications.

In The Last Decade

Feng Xing

20 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Xing China 12 492 199 124 83 74 20 644
Andrew M. Kidger United Kingdom 10 543 1.1× 155 0.8× 82 0.7× 64 0.8× 45 0.6× 13 686
Leo Lap-Yan Wong Hong Kong 8 494 1.0× 242 1.2× 105 0.8× 61 0.7× 61 0.8× 8 658
Jagruti Patel United States 9 694 1.4× 233 1.2× 134 1.1× 46 0.6× 48 0.6× 17 855
Carla L. Van Den Berg United States 15 586 1.2× 284 1.4× 152 1.2× 62 0.7× 20 0.3× 18 768
David Cebrián Spain 10 371 0.8× 280 1.4× 77 0.6× 59 0.7× 17 0.2× 16 599
Swee Seong Wong United States 6 540 1.1× 146 0.7× 102 0.8× 60 0.7× 20 0.3× 6 688
Rebecca Gilley United Kingdom 12 564 1.1× 176 0.9× 94 0.8× 80 1.0× 33 0.4× 14 723
Linda Rushworth United Kingdom 10 715 1.5× 174 0.9× 90 0.7× 122 1.5× 73 1.0× 11 907
Ufuk Degirmenci Singapore 7 480 1.0× 128 0.6× 222 1.8× 75 0.9× 32 0.4× 7 653
Haiyan Cai China 14 408 0.8× 270 1.4× 46 0.4× 28 0.3× 39 0.5× 35 687

Countries citing papers authored by Feng Xing

Since Specialization
Citations

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

Fields of papers citing papers by Feng Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Xing. A scholar is included among the top collaborators of Feng Xing 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 Feng Xing. Feng Xing 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.
Yang, Xiaoyu, et al.. (2024). The association between diets and periodontitis: a bidirectional two-sample Mendelian randomization study. Frontiers in Genetics. 15. 1398101–1398101. 5 indexed citations
2.
Wang, Lijun, Feng Xing, Xuan Zhao, et al.. (2023). Exercise-induced circular RNA circUtrn is required for cardiac physiological hypertrophy and prevents myocardial ischaemia–reperfusion injury. Cardiovascular Research. 119(16). 2638–2652. 24 indexed citations
3.
Xu, Xue-xiang, et al.. (2022). miR-219-5p attenuates cisplatin resistance of ovarian cancer by inactivating Wnt/β-catenin signaling and autophagy via targeting HMGA2. Cancer Gene Therapy. 30(4). 596–607. 10 indexed citations
4.
Ding, Xin, Tao Pan, Qin Liu, et al.. (2022). Profiling Temporal Changes of the Pineal Transcriptomes at Single Cell Level Upon Neonatal HIBD. Frontiers in Cell and Developmental Biology. 10. 794012–794012. 4 indexed citations
5.
Abied, Adam, Lei Xu, Feng Xing, et al.. (2020). Genome-Wide Analysis Revealed Homozygosity and Demographic History of Five Chinese Sheep Breeds Adapted to Different Environments. Genes. 11(12). 1480–1480. 20 indexed citations
6.
Li, Hong, Lixiao Xu, Jian Yu, et al.. (2020). The role of a lncRNA (TCONS_00044595) in regulating pineal CLOCK expression after neonatal hypoxia–ischemia brain injury. Biochemical and Biophysical Research Communications. 528(1). 1–6. 8 indexed citations
7.
Li, Mei, Chenxi Feng, Lixiao Xu, et al.. (2020). [Role of microglial pyroptosis in hypoxic-ischemic brain damage].. PubMed. 22(11). 1226–1232. 1 indexed citations
9.
Qamar, Muhammad Tahir ul, Xi-Tong Zhu, Feng Xing, & Ling‐Ling Chen. (2019). ppsPCP: a plant presence/absence variants scanner and pan-genome construction pipeline. Bioinformatics. 35(20). 4156–4158. 25 indexed citations
10.
Xing, Feng, Cong Sun, Ning Luo, et al.. (2019). Wogonin Increases Cisplatin Sensitivity in Ovarian Cancer Cells Through Inhibition of the Phosphatidylinositol 3-Kinase (PI3K)/Akt Pathway. Medical Science Monitor. 25. 6007–6014. 31 indexed citations
11.
Xing, Feng, et al.. (2019). Long non-coding RNA TP73-AS1 predicts poor prognosis and regulates cell proliferation and migration in cervical cancer. Archives of Medical Science. 18(2). 523–534. 6 indexed citations
12.
Xing, Feng, et al.. (2018). MiR-219-5p inhibits growth and metastasis of ovarian cancer cells by targeting HMGA2. Biological Research. 51(1). 50–50. 21 indexed citations
13.
Li, Guangwei, Xiaoting Li, Yuan Wang, et al.. (2017). Three representative inter and intra‐subspecific crosses reveal the genetic architecture of reproductive isolation in rice. The Plant Journal. 92(3). 349–362. 23 indexed citations
14.
Li, Zhi-Heng, Yanfang Tao, He Zhao, et al.. (2016). A novel sphingosine kinase 1 inhibitor (SKI-5C) induces cell death of Wilms' tumor cells in vitro and in vivo.. PubMed. 8(11). 4548–4563. 11 indexed citations
15.
Tao, Yanfang, Shaoyan Hu, Jun Lu, et al.. (2015). Microarray profiling of bone marrow long non-coding RNA expression in Chinese pediatric acute myeloid leukemia patients. Oncology Reports. 35(2). 757–770. 17 indexed citations
16.
Xiao, Weifan, Chao Ou, Jinlong Qin, et al.. (2014). CBX8, a novel DNA repair protein, promotes tumorigenesis in human esophageal carcinoma.. PubMed. 7(8). 4817–26. 22 indexed citations
17.
Xing, Feng, et al.. (2013). Association of polymorphisms of exon 2 of GOLA-DQA2 gene with blood immune traits in goats. Hereditas (Beijing). 35(2). 185–191. 1 indexed citations
18.
Pratilas, Christine A., Feng Xing, & David B. Solit. (2010). Targeting Oncogenic BRAF in Human Cancer. Current topics in microbiology and immunology. 355. 83–98. 50 indexed citations
19.
Joseph, Eric W., Christine A. Pratilas, Poulikos I. Poulikakos, et al.. (2010). The RAF inhibitor PLX4032 inhibits ERK signaling and tumor cell proliferation in a V600E BRAF-selective manner. Proceedings of the National Academy of Sciences. 107(33). 14903–14908. 349 indexed citations
20.
Chook, Ping, et al.. (2007). Heavy Passive Smoking in Casino is Associated with Higher Atherosclerosis Risk. Heart Lung and Circulation. 16. S196–S196. 2 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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