Feng Zhao

3.6k total citations · 2 hit papers
76 papers, 2.4k citations indexed

About

Feng Zhao is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Feng Zhao has authored 76 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pulmonary and Respiratory Medicine, 18 papers in Oncology and 16 papers in Molecular Biology. Recurrent topics in Feng Zhao's work include Liver Disease Diagnosis and Treatment (8 papers), Prostate Cancer Treatment and Research (7 papers) and Advanced Radiotherapy Techniques (6 papers). Feng Zhao is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Prostate Cancer Treatment and Research (7 papers) and Advanced Radiotherapy Techniques (6 papers). Feng Zhao collaborates with scholars based in China, United States and Hong Kong. Feng Zhao's co-authors include Xiaofei Cheng, Xiangming Xu, Dong Chen, Weilin Wang, Kreshnik Zejnullahu, Pasi A. Jänne, Kwok‐Kin Wong, Geoffrey I. Shapiro, Eugene Lifshits and Andrea J. Gonzales and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Feng Zhao

70 papers receiving 2.4k citations

Hit Papers

PF00299804, an Irreversible Pan-ERBB Inhibitor, Is Effect... 2007 2026 2013 2019 2007 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Zhao China 24 1.2k 861 785 322 212 76 2.4k
Karl‐Heinz Thierauch Germany 19 1.0k 0.8× 908 1.1× 502 0.6× 409 1.3× 265 1.3× 33 2.5k
Quincy S. Chu Canada 34 1.3k 1.1× 2.1k 2.4× 1.6k 2.0× 576 1.8× 180 0.8× 134 4.0k
Alison Joly United States 18 1.5k 1.2× 902 1.0× 624 0.8× 432 1.3× 216 1.0× 26 2.9k
Kohei Murata Japan 32 1.6k 1.3× 1.1k 1.3× 690 0.9× 517 1.6× 846 4.0× 187 3.3k
Masahiko Nishiyama Japan 33 1.6k 1.3× 1.3k 1.6× 842 1.1× 680 2.1× 400 1.9× 188 3.3k
José A. López-Martín Spain 28 824 0.7× 1.3k 1.5× 601 0.8× 352 1.1× 314 1.5× 123 2.4k
Noriyuki Masuda Japan 28 1.3k 1.0× 1.7k 2.0× 1.3k 1.6× 293 0.9× 193 0.9× 173 3.1k
Carminia Maria Della Corte Italy 26 1.3k 1.0× 1.5k 1.7× 716 0.9× 430 1.3× 199 0.9× 78 2.6k
Makoto Sumitomo Japan 28 1.3k 1.0× 849 1.0× 794 1.0× 667 2.1× 348 1.6× 133 2.5k
Elizabeth Buck United States 19 1.6k 1.3× 1.1k 1.3× 594 0.8× 544 1.7× 121 0.6× 54 2.8k

Countries citing papers authored by Feng Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Feng Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Zhao. A scholar is included among the top collaborators of Feng Zhao 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 Zhao. Feng Zhao 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.
2.
Sun, Xin, Yuan‐Hua Chen, Zihan Sun, et al.. (2025). Optimizing fractionation schedules for de-escalation radiotherapy in head and neck cancers using deep reinforcement learning. Radiotherapy and Oncology. 207. 110833–110833.
3.
Zhao, Feng, et al.. (2025). Exploring the causal impact of body mass index on metabolic biomarkers and cholelithiasis risk: a Mendelian randomization analysis. Scientific Reports. 15(1). 415–415. 1 indexed citations
4.
5.
Wang, Shunmin, Dan Han, Xiaonan Zhou, et al.. (2023). Classification of cervical disc herniation myelopathy or radiculopathy: a magnetic resonance imaging-based analysis. Quantitative Imaging in Medicine and Surgery. 13(8). 4984–4994. 2 indexed citations
6.
Zhao, Feng, Hongzhen Zhang, Chang Ming Li, et al.. (2022). Association of coal mine dust lung disease with Nodular thyroid disease in coal miners: A retrospective observational study in China. Frontiers in Public Health. 10. 1005721–1005721. 3 indexed citations
7.
8.
Chen, Danni, Chang Bao, Feng Zhao, et al.. (2020). Exploring Specific miRNA-mRNA Axes With Relationship to Taxanes-Resistance in Breast Cancer. Frontiers in Oncology. 10. 1397–1397. 17 indexed citations
9.
Cheng, Xiaofei, Xiangming Xu, Dong Chen, Feng Zhao, & Weilin Wang. (2018). Therapeutic potential of targeting the Wnt/β-catenin signaling pathway in colorectal cancer. Biomedicine & Pharmacotherapy. 110. 473–481. 335 indexed citations breakdown →
10.
Zhao, Feng, et al.. (2017). Application of deep inspiration breath hold in postoperative radiotherapy for left-side breast cancer. Zhonghua fangshe yixue yu fanghu zazhi. 37(11). 821–825.
11.
Liang, Liping, et al.. (2015). Immunological subtypes analysis of Uygur diffuse large B-cell lymphoma in Xinjiang and their prognostic significance. Journal of Cancer Research and Therapeutics. 11(4). 852–856. 1 indexed citations
12.
Zhao, Feng, et al.. (2013). Four-membered heterocycles-containing 4-anilino-quinazoline derivatives as epidermal growth factor receptor (EGFR) kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 23(19). 5385–5388. 27 indexed citations
13.
Nasveschuk, Christopher G., Alexandre Gagnon, Eric Y. Chan, et al.. (2013). Identification of EZH2 and EZH1 Small Molecule Inhibitors with Selective Impact on Diffuse Large B Cell Lymphoma Cell Growth. Chemistry & Biology. 20(11). 1329–1339. 116 indexed citations
14.
Liu, Lin, Wenhui Ding, Feng Zhao, et al.. (2013). Plasma levels and potential roles of catestatin in patients with coronary heart disease. Scandinavian Cardiovascular Journal. 47(4). 217–224. 26 indexed citations
15.
Zhao, Feng, et al.. (2012). Experimental Study of Detection of Nodules Showing Ground-Glass Opacity and Radiation Dose by Using Anthropomorphic Chest Phantom. Journal of Computer Assisted Tomography. 36(5). 523–527. 12 indexed citations
16.
Wang, Haomin, Yanli Pan, Bing Xue, et al.. (2011). The Antioxidative Effect of Electro-Acupuncture in a Mouse Model of Parkinson's Disease. PLoS ONE. 6(5). e19790–e19790. 67 indexed citations
17.
Tan, Benxu, W. Yao, Jun Ge, et al.. (2011). Prognostic influence of metformin as first‐line chemotherapy for advanced nonsmall cell lung cancer in patients with type 2 diabetes. Cancer. 117(22). 5103–5111. 144 indexed citations
18.
Yonesaka, Kimio, Kreshnik Zejnullahu, Neal I. Lindeman, et al.. (2008). Autocrine Production of Amphiregulin Predicts Sensitivity to Both Gefitinib and Cetuximab in EGFR Wild-type Cancers. Clinical Cancer Research. 14(21). 6963–6973. 96 indexed citations
19.
Engelman, Jeffrey A., Kreshnik Zejnullahu, Eugene Lifshits, et al.. (2007). PF00299804, an Irreversible Pan-ERBB Inhibitor, Is Effective in Lung Cancer Models with EGFR and ERBB2 Mutations that Are Resistant to Gefitinib. Cancer Research. 67(24). 11924–11932. 598 indexed citations breakdown →
20.
Park, Joon Oh, Feng Zhao, Kreshnik Zejnullahu, et al.. (2007). C1-07: IPI-504, a novel HSP90 inhibitor is effective in EGFR T790M and Non-T790M Gefitinib-resistant Lung Cancer Cell Lines.. Journal of Thoracic Oncology. 2(8). S361–S361. 1 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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