Shifeng Su

728 total citations
34 papers, 534 citations indexed

About

Shifeng Su is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Shifeng Su has authored 34 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Oncology. Recurrent topics in Shifeng Su's work include Renal and related cancers (5 papers), Sperm and Testicular Function (5 papers) and Ubiquitin and proteasome pathways (5 papers). Shifeng Su is often cited by papers focused on Renal and related cancers (5 papers), Sperm and Testicular Function (5 papers) and Ubiquitin and proteasome pathways (5 papers). Shifeng Su collaborates with scholars based in China, United States and Hong Kong. Shifeng Su's co-authors include Aiming Xu, John T. Minges, Gail Grossman, Elizabeth M. Wilson, Zengjun Wang, Jianzhong Zhang, Chenkui Miao, Jundong Zhu, Zengjun Wang and Bianjiang Liu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Shifeng Su

33 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shifeng Su China 16 333 134 133 113 96 34 534
Chenkui Miao China 15 357 1.1× 79 0.6× 209 1.6× 110 1.0× 129 1.3× 43 576
Alireza Heravi‐Moussavi Canada 11 319 1.0× 98 0.7× 127 1.0× 62 0.5× 66 0.7× 15 602
Marialaura Petroni Italy 16 424 1.3× 49 0.4× 123 0.9× 198 1.8× 54 0.6× 25 624
Xiangyan Jiang China 12 203 0.6× 74 0.6× 83 0.6× 159 1.4× 85 0.9× 26 409
Shogo Shigeta Japan 15 240 0.7× 45 0.3× 130 1.0× 111 1.0× 59 0.6× 50 525
Namiko Yada-Hashimoto Japan 9 244 0.7× 65 0.5× 127 1.0× 134 1.2× 63 0.7× 10 551
Bong Ryoul Oh United States 13 463 1.4× 88 0.7× 142 1.1× 92 0.8× 167 1.7× 23 798
Roubini Zakopoulou Greece 10 358 1.1× 49 0.4× 132 1.0× 144 1.3× 62 0.6× 29 533
Silverio Tomao Italy 13 177 0.5× 84 0.6× 76 0.6× 253 2.2× 60 0.6× 23 506

Countries citing papers authored by Shifeng Su

Since Specialization
Citations

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

Fields of papers citing papers by Shifeng Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shifeng Su

This figure shows the co-authorship network connecting the top 25 collaborators of Shifeng Su. A scholar is included among the top collaborators of Shifeng Su 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 Shifeng Su. Shifeng Su 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.
Meng, Xiangyu, Shifeng Su, Xiyi Wei, et al.. (2023). Exposure to bisphenol A alternatives bisphenol AF and fluorene-9-bisphenol induces gonadal injuries in male zebrafish. Ecotoxicology and Environmental Safety. 253. 114634–114634. 18 indexed citations
2.
Liu, Yiyang, Zhongyuan Wang, Aiming Xu, et al.. (2023). Incremental value of radiomics with machine learning to the existing prognostic models for predicting outcome in renal cell carcinoma. Frontiers in Oncology. 13. 1036734–1036734. 5 indexed citations
3.
Chen, Xinglin, Xiaohan Ren, Xu Zhang, et al.. (2022). Predictive factors for successful sperm retrieval by microdissection testicular sperm extraction in men with nonobstructive azoospermia and a history of cryptorchidism. Asian Journal of Andrology. 24(5). 503–508. 14 indexed citations
4.
Miao, Chenkui, Chao Liang, Pu Li, et al.. (2021). TRIM37 orchestrates renal cell carcinoma progression via histone H2A ubiquitination-dependent manner. Journal of Experimental & Clinical Cancer Research. 40(1). 195–195. 27 indexed citations
5.
6.
Su, Shifeng, Qi Gu, Aiming Xu, et al.. (2019). Genetic variations in MAGE-A11 predict the risk and survival of renal cell cancer. Journal of Cancer. 10(20). 4860–4865. 7 indexed citations
7.
Chen, Wei, Kai Zhao, Chenkui Miao, et al.. (2017). Silencing Trim59 inhibits invasion/migration and epithelial-to-mesenchymal transition via TGF-β/Smad2/3 signaling pathway in bladder cancer cells. OncoTargets and Therapy. Volume 10. 1503–1512. 41 indexed citations
8.
Zhu, Jundong, Chao Liang, Yibo Hua, et al.. (2017). The metastasis suppressor CD82/KAI1 regulates cell migration and invasion via inhibiting TGF-β 1/Smad signaling in renal cell carcinoma. Oncotarget. 8(31). 51559–51568. 22 indexed citations
9.
Su, Shifeng, Xiaoyu Chen, Jiang Geng, et al.. (2016). Melanoma antigen-A11 regulates substrate-specificity of Skp2-mediated protein degradation. Molecular and Cellular Endocrinology. 439. 1–9. 14 indexed citations
10.
Xu, Aiming, Yibo Hua, Jianzhong Zhang, et al.. (2016). Abnormal Hypermethylation of the VDAC2 Promoter is a Potential Cause of Idiopathic Asthenospermia in Men. Scientific Reports. 6(1). 37836–37836. 21 indexed citations
11.
Fang, Jianzheng, Hainan Wang, Wei Xi, et al.. (2015). Downregulation of tNASP inhibits proliferation through regulating cell cycle-related proteins and inactive ERK/MAPK signal pathway in renal cell carcinoma cells. Tumor Biology. 36(7). 5209–5214. 20 indexed citations
12.
Liu, Bianjiang, et al.. (2015). Abnormal Expression of Sg I is Closely Related to Seminal Vesiculitis. Urology. 88. 227.e9–227.e14. 3 indexed citations
13.
Liu, Bianjiang, et al.. (2014). Is abnormal expression of semenogelin I involved with seminal vesiculitis?. Medical Hypotheses. 82(3). 338–340. 4 indexed citations
14.
Zhang, Shengli, Jianzheng Fang, Chao Qin, et al.. (2014). Seminal plasma protein in renal cell carcinoma: expression of semenogelin I is a predictor for cancer progression and prognosis. Tumor Biology. 35(9). 9095–9100. 8 indexed citations
15.
Fang, Jianzheng, Shangqian Wang, Shengli Zhang, et al.. (2013). Association of the Glutathione S-Transferase M1, T1 Polymorphisms with Cancer: Evidence from a Meta-Analysis. PLoS ONE. 8(11). e78707–e78707. 17 indexed citations
16.
Su, Shifeng, et al.. (2013). Proto-oncogene Activity of Melanoma Antigen-A11 (MAGE-A11) Regulates Retinoblastoma-related p107 and E2F1 Proteins. Journal of Biological Chemistry. 288(34). 24809–24824. 34 indexed citations
17.
Fang, Jianzheng, Shangqian Wang, Hainan Wang, et al.. (2013). The Cytochrome P4501A1 gene polymorphisms and idiopathic male infertility risk: A meta-analysis. Gene. 535(2). 93–96. 11 indexed citations
18.
Minges, John T., Shifeng Su, Gail Grossman, et al.. (2012). Melanoma Antigen-A11 (MAGE-A11) Enhances Transcriptional Activity by Linking Androgen Receptor Dimers. Journal of Biological Chemistry. 288(3). 1939–1952. 33 indexed citations
19.
Su, Shifeng, Gail Grossman, John T. Minges, et al.. (2012). Primate-specific Melanoma Antigen-A11 Regulates Isoform-specific Human Progesterone Receptor-B Transactivation. Journal of Biological Chemistry. 287(41). 34809–34824. 29 indexed citations
20.
Liu, Qiang, et al.. (2011). Gain in Transcriptional Activity by Primate-specific Coevolution of Melanoma Antigen-A11 and Its Interaction Site in Androgen Receptor. Journal of Biological Chemistry. 286(34). 29951–29963. 13 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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