Fengxi Su

5.9k total citations · 3 hit papers
55 papers, 4.6k citations indexed

About

Fengxi Su is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Fengxi Su has authored 55 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Oncology, 22 papers in Cancer Research and 16 papers in Molecular Biology. Recurrent topics in Fengxi Su's work include Breast Cancer Treatment Studies (12 papers), Cancer Cells and Metastasis (9 papers) and HER2/EGFR in Cancer Research (9 papers). Fengxi Su is often cited by papers focused on Breast Cancer Treatment Studies (12 papers), Cancer Cells and Metastasis (9 papers) and HER2/EGFR in Cancer Research (9 papers). Fengxi Su collaborates with scholars based in China, United States and Hong Kong. Fengxi Su's co-authors include Erwei Song, Herui Yao, Qiang Liu, Shicheng Su, Jianing Chen, Di Huang, Chang Gong, Jianing Chen, Fei Chen and Xiuying Cui and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Fengxi Su

55 papers receiving 4.6k citations

Hit Papers

CD10+GPR77+ Cancer-Associated Fibroblasts Prom... 2011 2026 2016 2021 2018 2014 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengxi Su China 29 2.3k 2.2k 1.7k 1.5k 449 55 4.6k
Sonja Loges Germany 35 2.7k 1.2× 1.9k 0.9× 1.4k 0.8× 926 0.6× 630 1.4× 98 5.0k
Romain Boidot France 31 1.8k 0.8× 1.6k 0.7× 1.0k 0.6× 1.2k 0.8× 475 1.1× 112 4.0k
Hilary A. Kenny United States 27 2.6k 1.2× 1.8k 0.8× 2.1k 1.2× 1.1k 0.7× 393 0.9× 41 5.4k
Swarnali Acharyya United States 21 3.2k 1.4× 1.9k 0.9× 1.2k 0.7× 787 0.5× 595 1.3× 32 5.6k
Dingcheng Gao United States 26 2.8k 1.2× 2.5k 1.1× 1.8k 1.0× 936 0.6× 853 1.9× 36 5.1k
Anushka Dongre United States 11 2.0k 0.9× 1.8k 0.8× 1.2k 0.7× 764 0.5× 485 1.1× 15 3.8k
Sandra S. McAllister United States 24 2.3k 1.0× 2.8k 1.3× 1.2k 0.7× 1.1k 0.8× 1.1k 2.3× 46 5.1k
Lukas J.A.C. Hawinkels Netherlands 31 1.9k 0.8× 2.1k 0.9× 895 0.5× 1.6k 1.1× 590 1.3× 99 4.8k
P. Charles Lin United States 27 1.9k 0.8× 1.6k 0.7× 837 0.5× 1.6k 1.1× 300 0.7× 35 4.1k
Michael Hölzel Germany 33 2.2k 1.0× 1.7k 0.8× 588 0.3× 1.3k 0.9× 443 1.0× 96 4.3k

Countries citing papers authored by Fengxi Su

Since Specialization
Citations

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

Fields of papers citing papers by Fengxi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengxi Su

This figure shows the co-authorship network connecting the top 25 collaborators of Fengxi Su. A scholar is included among the top collaborators of Fengxi 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 Fengxi Su. Fengxi 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.
Zhang, Yingying, et al.. (2025). Navigating the complexities: challenges and opportunities in conversion therapy for advanced hepatocellular carcinoma. Clinical and Experimental Medicine. 25(1). 169–169. 1 indexed citations
2.
Chen, Yanbo, et al.. (2025). Effects of Tai Chi Chuan on physical function and health in breast cancer patients. Supportive Care in Cancer. 33(2). 74–74. 1 indexed citations
3.
Huang, Di, Xueman Chen, Xin Zeng, et al.. (2021). Targeting regulator of G protein signaling 1 in tumor-specific T cells enhances their trafficking to breast cancer. Nature Immunology. 22(7). 865–879. 71 indexed citations
4.
Li, Chenchen, Yujie Tan, Jianli Zhao, et al.. (2019). Multiple metastases of bones and sigmoid colon after mastectomy for ductal carcinoma in situ of the breast: a case report. BMC Cancer. 19(1). 844–844. 2 indexed citations
5.
Tan, Luyuan, Liling Zhu, Lei Xin, et al.. (2019). <p>Risk factors of catheter-related thrombosis in early-stage breast cancer patients: a single-center retrospective study</p>. Cancer Management and Research. Volume 11. 8379–8389. 13 indexed citations
6.
Li, Huiping, Jiang Liu, Jianing Chen, et al.. (2018). A serum microRNA signature predicts trastuzumab benefit in HER2-positive metastatic breast cancer patients. Nature Communications. 9(1). 1614–1614. 84 indexed citations
7.
Su, Shicheng, Jinghua Zhao, Yue Xing, et al.. (2018). Immune Checkpoint Inhibition Overcomes ADCP-Induced Immunosuppression by Macrophages. Cell. 175(2). 442–457.e23. 230 indexed citations
8.
Nie, Yan, Jianing Chen, Di Huang, et al.. (2017). Tumor-Associated Macrophages Promote Malignant Progression of Breast Phyllodes Tumors by Inducing Myofibroblast Differentiation. Cancer Research. 77(13). 3605–3618. 43 indexed citations
9.
Su, Shicheng, Jian‐You Liao, Jiang Liu, et al.. (2017). Blocking the recruitment of naive CD4+ T cells reverses immunosuppression in breast cancer. Cell Research. 27(4). 461–482. 173 indexed citations
10.
11.
Liu, Jieqiong, Wen Jiang, Kai Mao, et al.. (2015). Elevated risks of subsequent endometrial cancer development among breast cancer survivors with different hormone receptor status: a SEER analysis. Breast Cancer Research and Treatment. 150(2). 439–445. 31 indexed citations
12.
Tang, Lu-Ying, Yi Su, Jianrong He, et al.. (2012). Urinary Titanium and Vanadium and Breast Cancer: A Case-Control Study. Nutrition and Cancer. 64(3). 368–376. 14 indexed citations
13.
He, Jianrong, Lu-Ying Tang, Dandan Yu, et al.. (2011). Epstein-Barr virus and breast cancer: Serological study in a high-incidence area of nasopharyngeal carcinoma. Cancer Letters. 309(2). 128–136. 43 indexed citations
14.
Zhu, Yinghua, Fengyan Yu, Yu Jiao, et al.. (2011). Reduced miR-128 in Breast Tumor–Initiating Cells Induces Chemotherapeutic Resistance via Bmi-1 and ABCC5. Clinical Cancer Research. 17(22). 7105–7115. 211 indexed citations
15.
Chen, Jingqi, Yandan Yao, Fengyan Yu, et al.. (2011). CCL18 from Tumor-Associated Macrophages Promotes Breast Cancer Metastasis via PITPNM3. Cancer Cell. 19(6). 814–816. 18 indexed citations
16.
Gong, Chang, Herui Yao, Qiang Liu, et al.. (2010). Markers of Tumor-Initiating Cells Predict Chemoresistance in Breast Cancer. PLoS ONE. 5(12). e15630–e15630. 61 indexed citations
17.
Su, Fengxi, et al.. (2006). Highs without lows. The New Scientist. 27(2550). 25–3. 3 indexed citations
18.
Su, Fengxi, Nengyong Ouyang, Pengcheng Zhu, et al.. (2005). Psychological stress induces chemoresistance in breast cancer by upregulating mdr1. Biochemical and Biophysical Research Communications. 329(3). 888–897. 61 indexed citations
19.
Song, Erwei, et al.. (2001). Rare occurrence of metastatic colorectal cancers in livers with replicative hepatitis B infection. The American Journal of Surgery. 181(6). 529–533. 31 indexed citations
20.
Chen, Jisheng, et al.. (2001). Adenovirus-mediated Bcl-2 gene transfer inhibits apoptosis and promotes survival of allogeneic transplanted hepatocytes. Surgery. 130(3). 502–511. 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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