Xiaofeng Sun

1.6k total citations
32 papers, 1.3k citations indexed

About

Xiaofeng Sun is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Xiaofeng Sun has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Cancer Research and 9 papers in Physiology. Recurrent topics in Xiaofeng Sun's work include MicroRNA in disease regulation (11 papers), Adenosine and Purinergic Signaling (9 papers) and Cancer-related molecular mechanisms research (9 papers). Xiaofeng Sun is often cited by papers focused on MicroRNA in disease regulation (11 papers), Adenosine and Purinergic Signaling (9 papers) and Cancer-related molecular mechanisms research (9 papers). Xiaofeng Sun collaborates with scholars based in China, United States and Japan. Xiaofeng Sun's co-authors include Simon C. Robson, Yan Wu, Keiichi Enjyoji, Eva Csizmadia, Takashi Murakami, Wenda Gao, Bian Shu, Yan Wu, Christa E. Müller and Anny Usheva and has published in prestigious journals such as The Journal of Immunology, Gastroenterology and PLoS ONE.

In The Last Decade

Xiaofeng Sun

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofeng Sun China 20 579 555 347 306 217 32 1.3k
Avivit Ochaion Israel 15 490 0.8× 866 1.6× 187 0.5× 96 0.3× 240 1.1× 19 1.2k
U. Gerlach Germany 18 439 0.8× 231 0.4× 374 1.1× 65 0.2× 127 0.6× 30 1.1k
Oleg Tikhomirov United States 13 404 0.7× 199 0.4× 365 1.1× 65 0.2× 294 1.4× 16 924
Paola Portararo Italy 15 366 0.6× 175 0.3× 357 1.0× 78 0.3× 243 1.1× 23 947
Gilles Alberici France 15 216 0.4× 226 0.4× 367 1.1× 52 0.2× 305 1.4× 33 1.0k
Amy E. Baek United States 13 287 0.5× 108 0.2× 182 0.5× 316 1.0× 151 0.7× 26 750
Roberta Angioni Italy 14 270 0.5× 58 0.1× 227 0.7× 91 0.3× 162 0.7× 19 703
Pravin Kesarwani United States 21 477 0.8× 39 0.1× 390 1.1× 291 1.0× 266 1.2× 44 1.1k
Sabina Cuccato Italy 10 324 0.6× 160 0.3× 68 0.2× 108 0.4× 444 2.0× 11 874

Countries citing papers authored by Xiaofeng Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Sun. A scholar is included among the top collaborators of Xiaofeng Sun 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 Xiaofeng Sun. Xiaofeng Sun 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.
2.
Liu, Hongjiang, Changqi Liu, Chen Li, et al.. (2021). m6A reader IGF2BP2-stabilized CASC9 accelerates glioblastoma aerobic glycolysis by enhancing HK2 mRNA stability. Cell Death Discovery. 7(1). 292–292. 37 indexed citations
3.
Sun, Xiaofeng, Ling Luo, & Yuqiang Gao. (2020). Circular RNA PVT1 enhances cell proliferation but inhibits apoptosis through sponging microRNA‐149 in epithelial ovarian cancer. Journal of obstetrics and gynaecology research. 46(4). 625–635. 32 indexed citations
4.
Yao, Xiaobin, Hongguo Zhang, Yujuan Liu, et al.. (2019). miR-99b-3p promotes hepatocellular carcinoma metastasis and proliferation by targeting protocadherin 19. Gene. 698. 141–149. 17 indexed citations
5.
Li, Chen, Hongjiang Liu, Jipeng Yang, et al.. (2019). Long noncoding RNA LINC00511 induced by SP1 accelerates the glioma progression through targeting miR‐124‐3p/CCND2 axis. Journal of Cellular and Molecular Medicine. 23(6). 4386–4394. 37 indexed citations
6.
7.
Yang, Jipeng, Jiankai Yang, Chen Li, et al.. (2017). Downregulation of ZMYND11 induced by miR-196a-5p promotes the progression and growth of GBM. Biochemical and Biophysical Research Communications. 494(3-4). 674–680. 20 indexed citations
8.
Miao, Ruoyu, Yan Wu, Haohai Zhang, et al.. (2016). Utility of the dual-specificity protein kinase TTK as a therapeutic target for intrahepatic spread of liver cancer. Scientific Reports. 6(1). 33121–33121. 31 indexed citations
9.
Liu, Yinan, Peng Li, Kaiyu Liu, et al.. (2014). Timely Inhibition of Notch Signaling by DAPT Promotes Cardiac Differentiation of Murine Pluripotent Stem Cells. PLoS ONE. 9(10). e109588–e109588. 33 indexed citations
10.
Tian, Ye, Xiaofeng Sun, Jixiang Liu, et al.. (2013). Differential effects of miR-34c-3p and miR-34c-5p on the proliferation, apoptosis and invasion of glioma cells. Oncology Letters. 6(5). 1447–1452. 60 indexed citations
11.
Shu, Bian, Xiaofeng Sun, Aiping Bai, et al.. (2013). P2X7 Integrates PI3K/AKT and AMPK-PRAS40-mTOR Signaling Pathways to Mediate Tumor Cell Death. PLoS ONE. 8(4). e60184–e60184. 101 indexed citations
12.
Sun, Xiaofeng, Lihui Han, Pankaj Seth, et al.. (2012). Disordered purinergic signaling and abnormal cellular metabolism are associated with development of liver cancer in Cd39/Entpd1 null Mice. Hepatology. 57(1). 205–216. 76 indexed citations
13.
Wang, Xiaojuan, Gaoxing Luo, Qinghong Wang, et al.. (2012). Activated mouse CD4+Foxp3− T cells facilitate melanoma metastasis via Qa-1-dependent suppression of NK-cell cytotoxicity. Cell Research. 22(12). 1696–1706. 15 indexed citations
14.
Sun, Xiaofeng, Masato Imai, Martina Nowak-Machen, et al.. (2011). Liver damage and systemic inflammatory responses are exacerbated by the genetic deletion of CD39 in total hepatic ischemia. Purinergic Signalling. 7(4). 427–434. 31 indexed citations
15.
Feng, Lili, Xiaofeng Sun, Eva Csizmadia, et al.. (2011). Vascular CD39/ENTPD1 Directly Promotes Tumor Cell Growth by Scavenging Extracellular Adenosine Triphosphate. Neoplasia. 13(3). 206–IN2. 114 indexed citations
16.
Sun, Xiaofeng, Yan Wu, Wenda Gao, et al.. (2010). CD39/ENTPD1 Expression by CD4+Foxp3+ Regulatory T Cells Promotes Hepatic Metastatic Tumor Growth in Mice. Gastroenterology. 139(3). 1030–1040. 225 indexed citations
17.
Behdad, Amir, Xiaofeng Sun, Zain Khalpey, et al.. (2009). Vascular smooth muscle cell expression of ectonucleotidase CD39 (ENTPD1) is required for neointimal formation in mice. Purinergic Signalling. 5(3). 335–342. 27 indexed citations
18.
Jackson, Shaun W., Tomokazu Hoshi, Yan Wu, et al.. (2007). Disordered Purinergic Signaling Inhibits Pathological Angiogenesis in Cd39/Entpd1-Null Mice. American Journal Of Pathology. 171(4). 1395–1404. 80 indexed citations
19.
Wu, Yan, Xiaofeng Sun, Elżbieta Kaczmarek, et al.. (2006). RanBPM associates with CD39 and modulates ecto-nucleotidase activity. Biochemical Journal. 396(1). 23–30. 57 indexed citations
20.
Sun, Xiaofeng. (2003). Clinical Study on Preventing and Curing Postpartum Hemorrhage in the Third Stage of Labor. 1 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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