Fang Su

2.7k total citations · 1 hit paper
74 papers, 2.1k citations indexed

About

Fang Su is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Fang Su has authored 74 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 25 papers in Oncology and 20 papers in Cancer Research. Recurrent topics in Fang Su's work include Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (8 papers). Fang Su is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (8 papers). Fang Su collaborates with scholars based in China, Australia and United States. Fang Su's co-authors include Erwei Song, Jingqi Chen, Bin Yu, Ling Lin, Fengxi Su, Mei Yang, Jian‐Dong Huang, Yujie Liu, Fengyan Yu and Hongkui Deng and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Fang Su

71 papers receiving 2.1k citations

Hit Papers

Microvesicles secreted by macrophages shuttle invasion-po... 2011 2026 2016 2021 2011 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Microvesicles secreted by macrophages shuttle invasion-potentiating microRNAs into breast cancer cells
    2011 581 citations Fang Su et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Su China 21 1.4k 895 348 288 142 74 2.1k
Guoqiang Zhao China 32 1.7k 1.2× 1.3k 1.5× 263 0.8× 138 0.5× 127 0.9× 88 2.4k
Lin Tang China 26 1.4k 1.0× 679 0.8× 337 1.0× 336 1.2× 252 1.8× 142 2.4k
Kenta Masuda Japan 25 896 0.6× 496 0.6× 278 0.8× 141 0.5× 98 0.7× 77 1.7k
Yongxiang Li China 22 1.1k 0.8× 570 0.6× 469 1.3× 379 1.3× 269 1.9× 118 2.0k
Yun Huang China 24 1.4k 1.0× 617 0.7× 388 1.1× 303 1.1× 460 3.2× 53 2.1k
Joerg Heyer United States 16 1.8k 1.3× 497 0.6× 738 2.1× 241 0.8× 168 1.2× 24 2.7k
Jim Jinn‐Chyuan Sheu Taiwan 30 1.2k 0.8× 467 0.5× 355 1.0× 384 1.3× 242 1.7× 93 2.2k
Xue Zhang China 19 1.2k 0.8× 506 0.6× 298 0.9× 163 0.6× 105 0.7× 71 1.6k
Fukuan Du China 26 905 0.6× 374 0.4× 528 1.5× 581 2.0× 238 1.7× 92 2.1k

Countries citing papers authored by Fang Su

Since Specialization
Citations

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

Fields of papers citing papers by Fang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Su. A scholar is included among the top collaborators of Fang 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 Fang Su. Fang 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
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Su, Fang, et al.. (2023). Hederagenin suppresses ovarian cancer via targeting mitochondrial fission through dynamin-related protein 1. European Journal of Pharmacology. 963. 176188–176188. 7 indexed citations
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Xiang, Zheng, et al.. (2023). Exploring the Correlation Between GPR176, a Potential Target Gene of Gastric Cancer, and Immune Cell Infiltration. Pharmacogenomics and Personalized Medicine. Volume 16. 519–535. 2 indexed citations
6.
Liu, Wenhong, Xiawei Jiang, Junfeng Li, et al.. (2023). Regulation of hPCL3 isoforms’ ubiquitination by TRIM21 in non-small cell lung cancer progression. Life Science Alliance. 6(10). e202302060–e202302060.
7.
Zhang, Yue, et al.. (2023). Prognostic Model and Tumor Immune Microenvironment Analysis of Complement-Related Genes in Gastric Cancer. Journal of Inflammation Research. Volume 16. 4697–4711. 1 indexed citations
8.
Xiang, Zheng, Rong Zhang, Fan Shi, et al.. (2022). C5aR1 shapes a non-inflammatory tumor microenvironment and mediates immune evasion in gastric cancer. SHILAP Revista de lepidopterología. 23(3). 392–404. 5 indexed citations
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Zeng, Honghui, Le Wang, Jiajia Li, et al.. (2021). Single-cell RNA-sequencing reveals distinct immune cell subsets and signaling pathways in IgA nephropathy. Cell & Bioscience. 11(1). 203–203. 28 indexed citations
11.
Liang, Zhongguo, Fan Zhang, Li Ye, et al.. (2021). The Integration of the Pre-Treatment Neutrophil-to-Lymphocyte Ratio in the Eighth Edition of the AJCC Staging System for Nasopharynx Cancer. Frontiers in Oncology. 11. 724467–724467. 2 indexed citations
12.
Zhu, Xiaodong, Ling Li, Zhongguo Liang, et al.. (2020). Identification of non-invasive biomarkers for predicting the radiosensitivity of nasopharyngeal carcinoma from serum microRNAs. Scientific Reports. 10(1). 5161–5161. 14 indexed citations
13.
Chen, Tingting, Yong Wang, Yang Yang, et al.. (2019). Gramicidin inhibits human gastric cancer cell proliferation, cell cycle and induced apoptosis. Biological Research. 52(1). 57–57. 24 indexed citations
14.
Wang, Zishu, Kaikai Yu, Yudong Hu, et al.. (2019). Schisantherin A induces cell apoptosis through ROS/JNK signaling pathway in human gastric cancer cells. Biochemical Pharmacology. 173. 113673–113673. 46 indexed citations
15.
Su, Fang, Kai-Hua Chen, Zhongguo Liang, et al.. (2019). <p>Survival benefit of higher fraction dose delivered by three-dimensional conformal radiotherapy in hepatocellular carcinoma smaller than 10 cm in size</p>. Cancer Management and Research. Volume 11. 3791–3799. 4 indexed citations
16.
Jiang, Yiling, et al.. (2016). Reversal of cisplatin resistance in non-small cell lung cancer stem cells by Taxus chinensis var.. Genetics and Molecular Research. 15(3). 9 indexed citations
17.
Li, Ling, Song Qu, Wei Zhao, et al.. (2015). Analysis of the differential secretome of nasopharyngeal carcinoma cell lines CNE-2R and CNE-2. Oncology Reports. 34(5). 2477–2488. 12 indexed citations
18.
Su, Fang, Xiaodong Zhu, Song Qu, et al.. (2013). Analysis of serum proteome profiles in nasopharyngeal carcinoma with different radiosensitivity. Clinical & Translational Oncology. 16(2). 147–152. 5 indexed citations
19.
Li, Bo, Sichu Liu, Fang Su, et al.. (2012). Altered expression of the TCR signaling related genes CD3 and FcεRIγ in patients with aplastic anemia. Journal of Hematology & Oncology. 5(1). 6–6. 20 indexed citations
20.
Su, Fang. (2006). The Test of the Mechanical Properties of SY-28, SY-20 and MDX-4-4210 Silicone Elastomers. 3(2). 36–40. 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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