Fubin Feng

1.0k total citations
37 papers, 703 citations indexed

About

Fubin Feng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Fubin Feng has authored 37 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Cancer Research and 15 papers in Oncology. Recurrent topics in Fubin Feng's work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and Ferroptosis and cancer prognosis (5 papers). Fubin Feng is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and Ferroptosis and cancer prognosis (5 papers). Fubin Feng collaborates with scholars based in China and United States. Fubin Feng's co-authors include Changgang Sun, Cun Liu, Chao Zhou, Lijuan Liu, Chundi Gao, Jing Zhuang, Huayao Li, Tingting Zhang, Lingyu Qi and Yan Yao and has published in prestigious journals such as Annals of Oncology, Frontiers in Immunology and Gene.

In The Last Decade

Fubin Feng

36 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fubin Feng China	16	379	264	165	147	74	37	703
Zan Fu China	18	387 1.0×	203 0.8×	234 1.4×	101 0.7×	105 1.4×	50	761
Wun‐Jae Kim South Korea	19	588 1.6×	210 0.8×	194 1.2×	214 1.5×	49 0.7×	29	956
Zhao Wu China	13	350 0.9×	96 0.4×	131 0.8×	51 0.3×	80 1.1×	38	638
Minhe Shen China	15	300 0.8×	186 0.7×	309 1.9×	130 0.9×	102 1.4×	36	736
Tiankui Qiao China	15	392 1.0×	149 0.6×	168 1.0×	108 0.7×	89 1.2×	39	691
Zhirong Jia China	14	316 0.8×	199 0.8×	89 0.5×	109 0.7×	80 1.1×	23	632
Neda Shajari Iran	10	616 1.6×	255 1.0×	148 0.9×	90 0.6×	85 1.1×	14	833
Hamid Fiuji Iran	17	419 1.1×	248 0.9×	218 1.3×	87 0.6×	55 0.7×	44	686
Xiaodan Sun China	14	304 0.8×	121 0.5×	113 0.7×	62 0.4×	62 0.8×	39	556

Countries citing papers authored by Fubin Feng

Since Specialization

Citations

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

Fields of papers citing papers by Fubin Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fubin Feng

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

All Works

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20 of 20 papers shown

Zhang, Huiru, et al.. (2024). Evaluation of Risk Factors, and Development and Validation of Prognostic Prediction Models for Distant Metastasis in Patients With Rectal Cancer: A Study Based on the SEER Database and a Chinese Population. Cancer Control. 31. 2925721698–2925721698.

Huang, Mengge, Yuetong Wang, Cun Liu, et al.. (2024). T cell senescence: a new perspective on immunotherapy in lung cancer. Frontiers in Immunology. 15. 1338680–1338680. 21 indexed citations

Cui, Wenqiang, et al.. (2022). Prognostic biomarkers correlated with immune infiltration in non‐small cell lung cancer. FEBS Open Bio. 13(1). 72–88. 8 indexed citations

Ma, Xiaoran, Huayao Li, Jing Zhuang, et al.. (2021). Identifying the Effect of Ursolic Acid Against Triple-Negative Breast Cancer: Coupling Network Pharmacology With Experiments Verification. Frontiers in Pharmacology. 12. 685773–685773. 15 indexed citations

Li, Huayao, Chundi Gao, Jing Zhuang, et al.. (2021). An mRNA characterization model predicting survival in patients with invasive breast cancer based on The Cancer Genome Atlas database. Cancer Biomarkers. 30(4). 417–428. 4 indexed citations

Gao, Chundi, Huayao Li, Cun Liu, et al.. (2021). Tumor Mutation Burden and Immune Invasion Characteristics in Triple Negative Breast Cancer: Genome High-Throughput Data Analysis. Frontiers in Immunology. 12. 650491–650491. 33 indexed citations

Li, Huayao, Chundi Gao, Cun Liu, et al.. (2021). A review of the biological activity and pharmacology of cryptotanshinone, an important active constituent in Danshen. Biomedicine & Pharmacotherapy. 137. 111332–111332. 90 indexed citations

Wang, Xue, Chundi Gao, Fubin Feng, et al.. (2020). Construction and Analysis of Competing Endogenous RNA Networks for Breast Cancer Based on TCGA Dataset. BioMed Research International. 2020(1). 4078596–4078596. 14 indexed citations

Zhang, Wen‐Feng, Cun Liu, Jie Li, et al.. (2020). Target Analysis and Mechanism of Podophyllotoxin in the Treatment of Triple-Negative Breast Cancer. Frontiers in Pharmacology. 11. 1211–1211. 25 indexed citations

10.

Gao, Chundi, Jing Zhuang, Huayao Li, et al.. (2020). Development of a risk scoring system for evaluating the prognosis of patients with Her2-positive breast cancer. Cancer Cell International. 20(1). 121–121. 18 indexed citations

11.

Feng, Fubin, Tingting Zhang, Cun Liu, et al.. (2019). <p>Efficacy and safety of targeted therapy for metastatic HER2-positive breast cancer in the first-line treatment: a Bayesian network meta-analysis</p>. OncoTargets and Therapy. Volume 12. 959–974. 6 indexed citations

12.

Li, Huayao, Chundi Gao, Lijuan Liu, et al.. (2019). 7-lncRNA Assessment Model for Monitoring and Prognosis of Breast Cancer Patients: Based on Cox Regression and Co-expression Analysis. Frontiers in Oncology. 9. 1348–1348. 37 indexed citations

13.

Gao, Chundi, Jing Zhuang, Chao Zhou, et al.. (2019). SNP mutation‐related genes in breast cancer for monitoring and prognosis of patients: A study based on the TCGA database. Cancer Medicine. 8(5). 2303–2312. 36 indexed citations

14.

Qi, Lingyu, Yan Yao, Tingting Zhang, et al.. (2019). A four-mRNA model to improve the prediction of breast cancer prognosis. Gene. 721. 144100–144100. 15 indexed citations

15.

Liu, Cun, Chao Zhou, Jing Zhuang, et al.. (2018). Meta-analysis of the association between the dietary inflammatory index (DII) and breast cancer risk. European Journal of Clinical Nutrition. 73(4). 509–517. 40 indexed citations

16.

Zhang, Tingting, Fubin Feng, Jinhui Tian, et al.. (2018). Effect of first-line endocrine therapy in patients with hormone-sensitive advanced breast cancer: a network meta-analysis. OncoTargets and Therapy. Volume 11. 2647–2656. 9 indexed citations

17.

Zhang, Tingting, Yan Yao, Fubin Feng, et al.. (2018). Comparative effectiveness of different chemotherapy regimens of advanced-stage Hodgkin lymphoma in adults: a network meta-analysis. Cancer Management and Research. Volume 10. 6017–6028. 1 indexed citations

18.

Li, Jia, Ruijuan Liu, Fubin Feng, et al.. (2018). Impact of endometriosis on risk of ovarian, endometrial and cervical cancers: a meta-analysis. Archives of Gynecology and Obstetrics. 299(1). 35–46. 38 indexed citations

19.

Liu, Cun, Lu Wang, Lijuan Liu, et al.. (2018). Efficacy and safety of de-escalation bone-modifying agents for cancer patients with bone metastases: a systematic review and meta-analysis. Cancer Management and Research. Volume 10. 3809–3823. 10 indexed citations

20.

Sun, Changgang, et al.. (2015). Construction of gene/protein interaction networks for primary myelofibrosis and KEGG pathway-enrichment analysis of molecular compounds. Genetics and Molecular Research. 14(4). 16126–16132. 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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