Minyi Cheng

684 total citations · 1 hit paper
37 papers, 422 citations indexed

About

Minyi Cheng is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Minyi Cheng has authored 37 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 22 papers in Cancer Research and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Minyi Cheng's work include Breast Cancer Treatment Studies (20 papers), Cancer Treatment and Pharmacology (10 papers) and Breast Lesions and Carcinomas (7 papers). Minyi Cheng is often cited by papers focused on Breast Cancer Treatment Studies (20 papers), Cancer Treatment and Pharmacology (10 papers) and Breast Lesions and Carcinomas (7 papers). Minyi Cheng collaborates with scholars based in China, Hong Kong and United States. Minyi Cheng's co-authors include Teng Zhu, Kun Wang, Ciqiu Yang, Liulu Zhang, Fei Ji, Hongfei Gao, Mei Yang, Ying Lin, Zhi‐Yong Wu and Jieqing Li and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Cancer and British journal of surgery.

In The Last Decade

Minyi Cheng

36 papers receiving 419 citations

Hit Papers

Longitudinal MRI-based fusion novel model predicts pathol... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minyi Cheng China 11 186 166 141 92 79 37 422
Liulu Zhang China 13 250 1.3× 195 1.2× 159 1.1× 87 0.9× 128 1.6× 51 545
Loes Kooreman Netherlands 15 202 1.1× 135 0.8× 158 1.1× 92 1.0× 140 1.8× 52 558
Yiwei Tong China 12 138 0.7× 169 1.0× 72 0.5× 51 0.6× 42 0.5× 33 302
Yanjun Hou United States 12 123 0.7× 269 1.6× 135 1.0× 67 0.7× 48 0.6× 29 442
Yumi Miyagi Japan 11 212 1.1× 116 0.7× 92 0.7× 42 0.5× 176 2.2× 33 346
David Chung Australia 12 106 0.6× 187 1.1× 80 0.6× 62 0.7× 76 1.0× 40 405
Mari Kikuchi Japan 12 82 0.4× 75 0.5× 134 1.0× 52 0.6× 120 1.5× 37 327
Benlong Yang China 13 220 1.2× 169 1.0× 45 0.3× 60 0.7× 91 1.2× 40 427
Fuzhong Tong China 8 187 1.0× 122 0.7× 44 0.3× 50 0.5× 140 1.8× 19 342
Stefano Panareo Italy 11 83 0.4× 105 0.6× 149 1.1× 96 1.0× 52 0.7× 39 357

Countries citing papers authored by Minyi Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Minyi Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minyi Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Minyi Cheng. A scholar is included among the top collaborators of Minyi Cheng 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 Minyi Cheng. Minyi Cheng 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.
Chen, Yilin, Lu Yang, Yu‐Hong Huang, et al.. (2025). Intratumoral microbiota predicts the response to neoadjuvant chemoimmunotherapy in triple-negative breast cancer. Journal for ImmunoTherapy of Cancer. 13(4). e010365–e010365. 8 indexed citations
3.
Chen, Yilin, Yu‐Hong Huang, Wei Li, et al.. (2025). Intratumoral microbiota-aided fusion radiomics model for predicting tumor response to neoadjuvant chemoimmunotherapy in triple-negative breast cancer. Journal of Translational Medicine. 23(1). 352–352. 3 indexed citations
4.
Li, Xi, Ciqiu Yang, Mei Yang, et al.. (2024). CircXPO6 promotes breast cancer progression through competitively inhibiting the ubiquitination degradation of c-Myc. Molecular and Cellular Biochemistry. 480(3). 1731–1745. 5 indexed citations
5.
Cheng, Minyi, Yühong Huang, Teng Zhu, et al.. (2024). MRI-based artificial intelligence models for post-neoadjuvant surgery personalization in breast cancer: a narrative review of evidence from Western Pacific. The Lancet Regional Health - Western Pacific. 57. 101254–101254. 1 indexed citations
8.
Huang, Yühong, Teng Zhu, Xiaoling Zhang, et al.. (2023). Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study. EClinicalMedicine. 58. 101899–101899. 94 indexed citations breakdown →
9.
Chen, Yuanqi, et al.. (2022). Case report: solitary splenic metastasis occurring 19 months after primary treatment for occult breast cancer. Frontiers in Oncology. 12. 957490–957490. 1 indexed citations
10.
Gao, Hongfei, Ciqiu Yang, Teng Zhu, et al.. (2022). Prevention of taxane-associated acute pain syndrome with etoricoxib for patients with breast cancer: A phase II randomised trial. European Journal of Cancer. 171. 150–160. 4 indexed citations
11.
Gao, Hongfei, Teng Zhu, Xingxing Zheng, et al.. (2022). Neoadjuvant therapy in triple-negative breast cancer: A systematic review and network meta-analysis. The Breast. 66. 126–135. 7 indexed citations
12.
Zhang, Liulu, Minyi Cheng, Yuanqi Chen, et al.. (2021). Visualization positioning-guided biopsy of suspicious breast microcalcifications: a retrospective cohort study. Annals of Translational Medicine. 9(21). 1620–1620. 2 indexed citations
13.
Gao, Hongfei, Teng Zhu, Ciqiu Yang, et al.. (2021). Peritoneal Metastasis After Treated With Abemaciclib Plus Fulvestrant for Metastatic Invasive Lobular Breast Cancer: A Case Report and Review of the Literature. Frontiers in Endocrinology. 12. 659537–659537. 1 indexed citations
14.
Ji, Fei, Hongfei Gao, Zheng Yang, et al.. (2021). Tumor Microenvironment Characterization in Breast Cancer Identifies Prognostic and Neoadjuvant Chemotherapy Relevant Signatures. Frontiers in Molecular Biosciences. 8. 759495–759495. 5 indexed citations
16.
Liu, Zhenyu, Liulu Zhang, Xuezhi Zhou, et al.. (2020). Multiparametric MRI-based radiomics analysis for the prediction of breast tumor regression patterns after neoadjuvant chemotherapy. Translational Oncology. 13(11). 100831–100831. 32 indexed citations
17.
Gao, Hongfei, Weiping Li, Teng Zhu, et al.. (2020). Adjuvant chemotherapy could benefit early-stage ER/PR positive mucinous breast cancer: A SEER-based analysis. The Breast. 54. 79–87. 5 indexed citations
19.
Gao, Hongfei, Ciqiu Yang, Minyi Cheng, et al.. (2018). Prognostic Significance of Mesenchymal–Epithelial Transition in Triple-Negative Breast Cancers. Clinical Breast Cancer. 18(5). e961–e966. 5 indexed citations
20.
Zhang, Liulu, Yi‐Jie Huang, Ciqiu Yang, et al.. (2018). Application of a carbon nanoparticle suspension for sentinel lymph node mapping in patients with early breast cancer: a retrospective cohort study. World Journal of Surgical Oncology. 16(1). 112–112. 37 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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