Fangfang Liu

1.9k total citations · 1 hit paper
73 papers, 1.4k citations indexed

About

Fangfang Liu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Fangfang Liu has authored 73 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 26 papers in Cancer Research and 22 papers in Oncology. Recurrent topics in Fangfang Liu's work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and Breast Cancer Treatment Studies (7 papers). Fangfang Liu is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and Breast Cancer Treatment Studies (7 papers). Fangfang Liu collaborates with scholars based in China, United States and United Kingdom. Fangfang Liu's co-authors include Feng Gu, Li Fu, Yu Fan, Ronggang Lang, Xiaojing Guo, Xinmin Zhang, Shuai Li, Zhenhua Li, Li Fu and Li Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cell Metabolism.

In The Last Decade

Fangfang Liu

63 papers receiving 1.4k citations

Hit Papers

Inflammation in cancer: therapeutic opportunities from ne... 2025 2026 2025 5 10 15 20 25

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangfang Liu China 24 761 471 350 170 159 73 1.4k
Haizhong Feng China 26 1.3k 1.7× 477 1.0× 293 0.8× 229 1.3× 225 1.4× 57 1.8k
Elisa Oricchio United States 19 1.2k 1.6× 430 0.9× 333 1.0× 146 0.9× 256 1.6× 30 1.6k
Kaiji Hu Canada 23 1.1k 1.4× 284 0.6× 468 1.3× 93 0.5× 183 1.2× 30 1.7k
Benjamin Barré France 20 851 1.1× 205 0.4× 410 1.2× 219 1.3× 152 1.0× 30 1.4k
Yi Zhu China 21 861 1.1× 555 1.2× 287 0.8× 234 1.4× 183 1.2× 44 1.4k
Xiaojun Zha China 20 1.0k 1.3× 582 1.2× 208 0.6× 151 0.9× 321 2.0× 53 1.6k
Jennifer Yeh United States 16 762 1.0× 211 0.4× 369 1.1× 219 1.3× 182 1.1× 34 1.3k
Toshiyuki Tsunoda Japan 23 843 1.1× 333 0.7× 328 0.9× 149 0.9× 58 0.4× 77 1.3k
Liwei Wang China 16 790 1.0× 506 1.1× 320 0.9× 250 1.5× 118 0.7× 43 1.3k

Countries citing papers authored by Fangfang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fangfang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Liu. A scholar is included among the top collaborators of Fangfang Liu 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 Fangfang Liu. Fangfang Liu 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.
Wu, Hao, Wenjie Yang, Su Li, et al.. (2025). AFM‐Based Deep Learning Decodes Human Macrophage Mechanophenotypes. Small Methods. 10(3). e2500953–e2500953.
2.
Liu, Fangfang, et al.. (2024). Effects of different extraction solvents on the major chemical compounds and in vitro biological activities of Dendrobium chrysotoxum Lindl. stems. Industrial Crops and Products. 222. 119678–119678. 5 indexed citations
3.
Liu, Fangfang, et al.. (2024). The role of brain oscillatory activity in processing the informative value of feedback during rule acquisition. European Journal of Neuroscience. 61(1).
4.
Li, Yan, et al.. (2024). Prenatal diagnosis and genetic counseling of a de novo 10q11.21q11.23 duplication associated with a normal phenotype. Journal of International Medical Research. 52(8). 3649332765–3649332765.
5.
Yan, Fu, Zhimin Wu, Xiaoguang Zhang, et al.. (2024). Discovery of the potential biomarkers for early diagnosis of endometrial cancer via integrating metabolomics and transcriptomics. Computers in Biology and Medicine. 173. 108327–108327. 5 indexed citations
6.
Liu, Fangfang, Kailiang Wu, Jelmar Quist, et al.. (2021). Systemic immune reaction in axillary lymph nodes adds to tumor-infiltrating lymphocytes in triple-negative breast cancer prognostication. npj Breast Cancer. 7(1). 86–86. 12 indexed citations
7.
Li, Shuai, et al.. (2019). Research advances of chromosomal 8q24 aberrance in breast cancer. Clinical Oncology and Cancer Research. 46(3). 150–153. 1 indexed citations
8.
Qian, Xiaolong, et al.. (2018). Silencing of syndecan-binding protein enhances the inhibitory effect of tamoxifen and increases cellular sensitivity to estrogen. Cancer Biology and Medicine. 15(1). 29–29. 3 indexed citations
10.
Yang, Mu, Fangfang Liu, Kayoko Higuchi, et al.. (2016). Serum amyloid A expression in the breast cancer tissue is associated with poor prognosis. Oncotarget. 7(24). 35843–35852. 37 indexed citations
11.
Xue, Qian, Caiyong Yu, Yan Wang, et al.. (2016). miR-9 and miR-124 synergistically affect regulation of dendritic branching via the AKT/GSK3β pathway by targeting Rap2a. Scientific Reports. 6(1). 26781–26781. 61 indexed citations
12.
Zhou, Zhuan, et al.. (2014). Human Rhomboid Family-1 Suppresses Oxygen-Independent Degradation of Hypoxia-Inducible Factor-1α in Breast Cancer. Cancer Research. 74(10). 2719–2730. 38 indexed citations
13.
Zhang, Bin, Fangfang Liu, Yongjie Ma, & Feng Gu. (2013). [Cytoplasmic expression of aquaporin-1 in breast cancer cells and its relationship with clinicopathological characteristics and prognosis].. PubMed. 35(12). 904–9. 3 indexed citations
14.
Liu, Fangfang. (2013). Expression Pattern Assay of ZmGW2,a RING-domain E3 Ubiquitin Ligase Gene in Maize. Yumi kexue. 3 indexed citations
15.
Yang, Cuicui, Fangfang Liu, Shuai Li, et al.. (2012). Lymph Node Ratio. International Journal of Surgical Pathology. 20(6). 546–554. 7 indexed citations
16.
Yang, Hua, Ronggang Lang, Fangfang Liu, et al.. (2011). [Primary lymphoma of breast: a clinicopathologic and prognostic study of 40 cases].. PubMed. 40(2). 79–84. 5 indexed citations
17.
Liu, Fangfang, Lifang Cui, Yang Zhang, et al.. (2010). Expression of HAb18G is associated with tumor progression and prognosis of breast carcinoma. Breast Cancer Research and Treatment. 124(3). 677–688. 37 indexed citations
18.
Ma, Kyung‐Ho, et al.. (2009). Comparative Assessment of Simple Sequence Repeat Genetic Diversity in Cultivated Rice from Yunnan. Chinese Bulletin of Botany. 44(4). 457.
19.
Dong, Xin, Fangfang Liu, Lei Sun, et al.. (2009). Oncogenic function of microtubule end‐binding protein 1 in breast cancer. The Journal of Pathology. 220(3). 361–369. 65 indexed citations
20.
Liu, Fangfang, Ronggang Lang, Jia Wei, et al.. (2009). Increased expression of SDF‐1/CXCR4 is associated with lymph node metastasis of invasive micropapillary carcinoma of the breast. Histopathology. 54(6). 741–750. 50 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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