Feng Yao

717 total citations
22 papers, 468 citations indexed

About

Feng Yao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Feng Yao has authored 22 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Feng Yao's work include Breast Cancer Treatment Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and COVID-19 and healthcare impacts (2 papers). Feng Yao is often cited by papers focused on Breast Cancer Treatment Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and COVID-19 and healthcare impacts (2 papers). Feng Yao collaborates with scholars based in China, United States and Norway. Feng Yao's co-authors include Yi Tu, Xiaoli Yao, Yulin Xu, Xinghua Zhang, Shengrong Sun, Juanjuan Li, Chuang Chen, Yi Tu, Wen Wei and Chuang Chen and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Feng Yao

18 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Yao China 12 204 183 178 52 49 22 468
Yi Tu China 11 237 1.2× 195 1.1× 156 0.9× 25 0.5× 49 1.0× 24 440
Ruochuan Sun China 13 382 1.9× 273 1.5× 115 0.6× 41 0.8× 31 0.6× 22 618
Michaela Onstad United States 10 158 0.8× 177 1.0× 304 1.7× 55 1.1× 16 0.3× 24 736
Mary M. Gallenberg United States 6 154 0.8× 82 0.4× 131 0.7× 36 0.7× 17 0.3× 12 355
Maria Sfakianaki Greece 16 302 1.5× 209 1.1× 349 2.0× 146 2.8× 13 0.3× 40 708
Lijie Zhu China 13 264 1.3× 101 0.6× 54 0.3× 17 0.3× 21 0.4× 48 483
Christopher McNair United States 14 240 1.2× 140 0.8× 416 2.3× 24 0.5× 6 0.1× 29 753
Audra N. Iness United States 11 230 1.1× 35 0.2× 85 0.5× 23 0.4× 16 0.3× 17 413
Melanie Seal Canada 9 132 0.6× 135 0.7× 202 1.1× 48 0.9× 6 0.1× 25 447

Countries citing papers authored by Feng Yao

Since Specialization
Citations

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

Fields of papers citing papers by Feng Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Yao. A scholar is included among the top collaborators of Feng Yao 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 Feng Yao. Feng Yao 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.
Zhou, Fang, Shichong Liao, Zhong Wang, et al.. (2025). Development and validation of a Hypoxia and Lactate Metabolism Prognostic Score (HLMPS) for breast cancer using machine learning. Translational Cancer Research. 14(7). 4399–4415.
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Kong, Deguang, et al.. (2024). Using Segment-Level Attention to Guide Breast Ultrasound Video Classification. 1–5. 1 indexed citations
5.
Yao, Feng, et al.. (2024). Rapid and visual detection of Mycoplasma genitalium using recombinase polymerase amplification combined with lateral flow strips. Journal of Microbiological Methods. 226. 107030–107030.
6.
Zhang, Jingwen, Jin Huang, Liye Mei, et al.. (2024). Monitoring response to neoadjuvant therapy for breast cancer in all treatment phases using an ultrasound deep learning model. Frontiers in Oncology. 14. 1 indexed citations
7.
Yao, Feng, et al.. (2024). A Study on the Interaction Between Population Mobility and High-Quality Development of Manufacturing Industry in China —Based on the Data of Fujian Province. Journal of Advanced Computational Intelligence and Intelligent Informatics. 28(3). 714–726. 1 indexed citations
8.
Deng, Zhimin, et al.. (2023). Primary acinic cell carcinoma of the breast: A case report and literature review. Heliyon. 9(9). e20160–e20160. 3 indexed citations
9.
Wang, Hong, Fubao Sun, Fa Liu, et al.. (2023). Reconstruction of the pan evaporation based on meteorological factors with machine learning method over China. Agricultural Water Management. 287. 108416–108416. 14 indexed citations
10.
Yao, Xiaoli, et al.. (2020). Endoplasmic reticulum stress confers 5-fluorouracil resistance in breast cancer cell via the GRP78/OCT4/lncRNA MIAT/AKT pathway.. PubMed Central. 10(3). 838–855. 49 indexed citations
11.
Li, Juanjuan, Cesar Augusto Santa-Maria, Pengcheng Zhang, et al.. (2020). Patient-reported Outcomes of Patients With Breast Cancer During the COVID-19 Outbreak in the Epicenter of China: A Cross-sectional Survey Study. Clinical Breast Cancer. 20(5). e651–e662. 94 indexed citations
12.
Yao, Xiaoli, et al.. (2020). Endoplasmic reticulum stress‐induced exosomal miR‐27a‐3p promotes immune escape in breast cancer via regulating PD‐L1 expression in macrophages. Journal of Cellular and Molecular Medicine. 24(17). 9560–9573. 125 indexed citations
13.
Zhang, Bing, Xiaoli Yao, Juanjuan Li, et al.. (2018). Knockdown of B7H6 inhibits tumor progression in triple‑negative breast cancer. Oncology Letters. 16(1). 91–96. 13 indexed citations
14.
Wu, Qi, Juanjuan Li, Si Sun, et al.. (2017). Surgical treatment in Paget’s disease with invasive ductal carcinoma: an observational study based on SEER. Scientific Reports. 7(1). 45510–45510. 16 indexed citations
15.
Wang, Wenjie, et al.. (2017). DOK1/PPARgamma pathway mediates anti-tumor ability of all-trans retinoic acid in breast cancer MCF-7 cells. Biochemical and Biophysical Research Communications. 487(2). 189–193. 13 indexed citations
16.
Chen, Chuang, Si Sun, Jingping Yuan, et al.. (2016). Characteristics of breast cancer in Central China, literature review and comparison with USA. The Breast. 30. 208–213. 42 indexed citations
17.
Chen, Chuang, Wen Wei, Hongmei Zheng, et al.. (2015). Associations and indications of Ki67 expression with clinicopathological parameters and molecular subtypes in invasive breast cancer: A population-based study. Oncology Letters. 10(3). 1741–1748. 18 indexed citations
18.
Chen, Chuang, Jingping Yuan, Wen Wei, et al.. (2014). Subtype classification for prediction of prognosis of breast cancer from a biomarker panel: correlations and indications. International Journal of Nanomedicine. 9. 1039–1039. 13 indexed citations
19.
Wang, Guannan, Zhiliang Xu, Changhua Wang, et al.. (2013). Differential phosphofructokinase-1 isoenzyme patterns associated with glycolytic efficiency in human breast cancer and paracancer tissues. Oncology Letters. 6(6). 1701–1706. 41 indexed citations
20.
Yao, Feng, et al.. (2012). Sonographically Guided Vacuum-Assisted Breast Biopsy for Complete Excision of Presumed Benign Breast Lesions. Journal of Ultrasound in Medicine. 31(12). 1951–1957. 21 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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