Ju-Tao Feng

596 total citations
11 papers, 499 citations indexed

About

Ju-Tao Feng is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Ju-Tao Feng has authored 11 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Spectroscopy. Recurrent topics in Ju-Tao Feng's work include Machine Learning in Bioinformatics (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Cancer-related Molecular Pathways (2 papers). Ju-Tao Feng is often cited by papers focused on Machine Learning in Bioinformatics (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Cancer-related Molecular Pathways (2 papers). Ju-Tao Feng collaborates with scholars based in China and United States. Ju-Tao Feng's co-authors include Haiyan Song, Yinkun Liu, Zhi Dai, Laura Beretta, Zhao–You Tang, Pengyuan Yang, Mohamad Radwan Almofti, Caiyun Fang, Haojie Lu and Lun–Xiu Qin and has published in prestigious journals such as Oncogene, Frontiers in Immunology and Cancer Letters.

In The Last Decade

Ju-Tao Feng

11 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ju-Tao Feng China	9	355	138	96	88	77	11	499
Baocai Xing China	6	289 0.8×	117 0.8×	80 0.8×	101 1.1×	56 0.7×	11	520
Yevgeniy Gindin United States	10	339 1.0×	160 1.2×	21 0.2×	89 1.0×	30 0.4×	18	511
Lora A. Tucker United States	13	326 0.9×	88 0.6×	35 0.4×	242 2.8×	56 0.7×	15	577
Susanne Vejda Austria	11	330 0.9×	32 0.2×	35 0.4×	90 1.0×	45 0.6×	11	477
David W. Markby United States	10	288 0.8×	60 0.4×	19 0.2×	98 1.1×	112 1.5×	15	477
Miaolong Lu China	12	364 1.0×	225 1.6×	59 0.6×	87 1.0×	22 0.3×	18	607
Xuening Ji China	9	347 1.0×	209 1.5×	15 0.2×	199 2.3×	49 0.6×	16	618
Yongzi Chen China	14	739 2.1×	100 0.7×	58 0.6×	132 1.5×	23 0.3×	30	904
Yoshimi Ide Japan	12	264 0.7×	203 1.5×	136 1.4×	63 0.7×	14 0.2×	25	451

Countries citing papers authored by Ju-Tao Feng

Since Specialization

Citations

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

Fields of papers citing papers by Ju-Tao Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju-Tao Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Ju-Tao Feng. A scholar is included among the top collaborators of Ju-Tao 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 Ju-Tao Feng. Ju-Tao 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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11 of 11 papers shown

Gao, Lixia, Jie Yang, Ju-Tao Feng, et al.. (2022). PreS/2-21-Guided siRNA Nanoparticles Target to Inhibit Hepatitis B Virus Infection and Replication. Frontiers in Immunology. 13. 856463–856463. 8 indexed citations

Feng, Ju-Tao, et al.. (2022). Hematological and neurological expressed 1 (HN1) activates c‐Myc signaling by inhibiting ubiquitin‐mediated proteasomal degradation of c‐Myc in hepatocellular carcinoma. Cell Biology International. 47(3). 560–572. 11 indexed citations

Chen, Jingsong, Jiongqiang Huang, Zhijie Huang, et al.. (2016). MicroRNA-379-5p inhibits tumor invasion and metastasis by targeting FAK/AKT signaling in hepatocellular carcinoma. Cancer Letters. 375(1). 73–83. 88 indexed citations

Feng, Ju-Tao, et al.. (2015). Histone deacetylase inhibitor valproic acid (VPA) promotes the epithelial mesenchymal transition of colorectal cancer cells via up regulation of Snail. Cell Adhesion & Migration. 9(6). 495–501. 44 indexed citations

Chen, Jingsong, et al.. (2015). Risk Factors Associated with Intraoperative Major Blood Loss during Resection of Hepatocellular Carcinoma.. PubMed. 62(140). 790–3. 9 indexed citations

Chen, Jingsong, Jiongqiang Huang, Longjuan Zhang, et al.. (2014). Down-regulation of Gli-1 inhibits hepatocellular carcinoma cell migration and invasion. Molecular and Cellular Biochemistry. 393(1-2). 283–291. 40 indexed citations

Feng, Ju-Tao, et al.. (2006). Proteomics for the early detection and treatment of hepatocellular carcinoma. Oncogene. 25(27). 3810–3817. 60 indexed citations

Feng, Ju-Tao, Yinkun Liu, Haiyan Song, et al.. (2005). Heat‐shock protein 27: A potential biomarker for hepatocellular carcinoma identified by serum proteome analysis. PROTEOMICS. 5(17). 4581–4588. 162 indexed citations

Song, Haiyan, Yinkun Liu, Ju-Tao Feng, et al.. (2005). Proteomic analysis on metastasis-associated proteins of human hepatocellular carcinoma tissues. Journal of Cancer Research and Clinical Oncology. 132(2). 92–98. 47 indexed citations

10.

Feng, Ju-Tao, Yinkun Liu, Zhi Dai, et al.. (2005). [Screening hepatocellular carcinoma autoantibodies by serological proteome analysis].. PubMed. 13(11). 832–5. 1 indexed citations

11.

Cui, Jiefeng, Yinkun Liu, Haiyan Song, et al.. (2004). Differential proteomic analysis of human hepatocellular carcinoma cell line metastasis-associated proteins. Journal of Cancer Research and Clinical Oncology. 130(10). 615–22. 29 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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