Feng Mao

4.2k total citations
159 papers, 2.6k citations indexed

About

Feng Mao is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Feng Mao has authored 159 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Oncology, 34 papers in Molecular Biology and 34 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Feng Mao's work include Hepatocellular Carcinoma Treatment and Prognosis (24 papers), Liver Disease Diagnosis and Treatment (16 papers) and Glioma Diagnosis and Treatment (15 papers). Feng Mao is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (24 papers), Liver Disease Diagnosis and Treatment (16 papers) and Glioma Diagnosis and Treatment (15 papers). Feng Mao collaborates with scholars based in China, United States and Germany. Feng Mao's co-authors include Thomas A. Graham, Wenqing Xu, David Kimelman, Carole Weaver, Wen‐Ping Wang, Yi Dong, Hong Ding, Yidong Zhou, Denise M. Ferkey and Beijian Huang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Feng Mao

145 papers receiving 2.6k 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 Mao China 27 1.1k 632 424 391 355 159 2.6k
Yong S. Chang United States 21 1.0k 0.9× 530 0.8× 461 1.1× 209 0.5× 290 0.8× 36 2.2k
Emmanuelle Uro‐Coste France 30 1.3k 1.1× 586 0.9× 292 0.7× 406 1.0× 377 1.1× 119 3.3k
Ruslan Hlushchuk Switzerland 31 1.5k 1.3× 485 0.8× 537 1.3× 175 0.4× 493 1.4× 84 3.1k
Matthias Hornung Germany 19 717 0.6× 564 0.9× 183 0.4× 283 0.7× 265 0.7× 62 2.2k
Satoshi Baba Japan 29 765 0.7× 638 1.0× 334 0.8× 497 1.3× 523 1.5× 163 2.6k
Cecil R. Stockard United States 28 1.0k 0.9× 490 0.8× 203 0.5× 229 0.6× 296 0.8× 64 2.4k
Frank Weber Germany 37 1.9k 1.6× 910 1.4× 938 2.2× 635 1.6× 352 1.0× 125 4.1k
Koji Yoshida Japan 26 848 0.7× 909 1.4× 237 0.6× 306 0.8× 304 0.9× 106 2.4k
Otto Dietze Austria 28 724 0.6× 979 1.5× 696 1.6× 378 1.0× 471 1.3× 125 2.8k
Yoshiyuki Abe Japan 29 1.4k 1.2× 1.0k 1.6× 741 1.7× 263 0.7× 512 1.4× 137 2.9k

Countries citing papers authored by Feng Mao

Since Specialization
Citations

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

Fields of papers citing papers by Feng Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Mao. A scholar is included among the top collaborators of Feng Mao 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 Mao. Feng Mao 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.
Mao, Feng, Sijing Zhu, Chengyan Liu, et al.. (2025). A core-shell structure to realize high thermoelectric performance in Fe and Sb co-doped GeTe materials. Journal of Materiomics. 12(1). 101108–101108.
2.
Liang, Jisheng, Qi Zhou, Feng Mao, et al.. (2025). Weakening the polarity of chemical bonds to improve carrier mobility for realizing high thermoelectric performance in N-typed Mg3(Sb,Bi)2. Materials Today Physics. 52. 101687–101687.
3.
Mao, Feng, Songhao Liu, Xingfu Wang, et al.. (2025). Modification of primary silicon in hypereutectic Al-Si alloys by chemical modifiers: A comprehensive review. Journal of Alloys and Compounds. 1044. 184367–184367.
4.
Xu, Ying, Songjie Shen, Feng Mao, et al.. (2025). A multi-centre, randomised trial for diagnostic efficacy of the automatic breast volume scanner ultrasound for breast cancer screening in China. Frontiers in Oncology. 14. 1421425–1421425. 1 indexed citations
5.
Mao, Feng, et al.. (2025). Sound Touch Viscosity (STVi) for Thyroid Gland Evaluation in Healthy Individuals: A Pilot Study. Current Medical Imaging Formerly Current Medical Imaging Reviews. 21.
6.
Ji, Zhengbiao, et al.. (2024). Contrast-Enhanced Ultrasound Features of Primary Hepatic Lymphoepithelioma-Like Carcinoma: Comparison with Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. 5(1). 1 indexed citations
9.
Qiu, Yijie, Juan Cheng, Qi Zhang, et al.. (2023). Clinical Application of High-Frame-Rate Vector Flow Imaging in Evaluation of Carotid Atherosclerotic Stenosis. Diagnostics. 13(3). 519–519. 3 indexed citations
10.
Wang, Lifan, Qiao Wang, Feng Mao, et al.. (2023). Risk stratification of gallbladder masses by machine learning-based ultrasound radiomics models: a prospective and multi-institutional study. European Radiology. 33(12). 8899–8911. 11 indexed citations
11.
Liu, Lei, et al.. (2021). Normal, novel or none: versatile regulation from alternative splicing. Plant Signaling & Behavior. 16(7). 1917170–1917170. 12 indexed citations
13.
Xu, Ying, Bo Pan, Yidong Zhou, et al.. (2018). Mammography-detected ultrasound-negative asymptomatic micro-calcifications in Chinese women: Would it be safe to watch and wait?. Medical Hypotheses. 118. 9–12. 1 indexed citations
14.
Xu, Qianqian, Bo Pan, Changjun Wang, et al.. (2016). HER2 amplification level is not a prognostic factor for HER2-positive breast cancer with trastuzumab-based adjuvant treatment: a systematic review and meta-analysis. Oncotarget. 7(39). 63571–63582. 14 indexed citations
15.
Mao, Feng, et al.. (2014). High Risk Indication of Postoperative Chemotherapy 
in Early Stage Non-small Cell Lung Cancer. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Zhong, Ying, Songjie Shen, Yidong Zhou, et al.. (2014). ALDH1 is a better clinical indicator for relapse of invasive ductal breast cancer than the CD44+/CD24− phenotype. Medical Oncology. 31(3). 864–864. 41 indexed citations
17.
Shen, Songjie, Qiang Sun, Yidong Zhou, et al.. (2012). [Comparative analysis of early diagnostic tools for breast cancer].. PubMed. 34(11). 877–80. 7 indexed citations
18.
Fu, Xiaonan, Yijie Han, Ying Wu, et al.. (2011). Prognostic role of microRNA-21 in various carcinomas: a systematic review and meta-analysis. European Journal of Clinical Investigation. 41(11). 1245–1253. 135 indexed citations
19.
Mao, Feng. (2005). Preliminary application of elastosonography in diagnosis of breast diseases. 1 indexed citations
20.
Graham, Thomas A., Carole Weaver, Feng Mao, David Kimelman, & Wenqing Xu. (2000). Crystal Structure of a β-Catenin/Tcf Complex. Cell. 103(6). 885–896. 343 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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