Kun Mi

528 total citations
19 papers, 355 citations indexed

About

Kun Mi is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kun Mi has authored 19 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kun Mi's work include RNA Interference and Gene Delivery (3 papers), Supramolecular Self-Assembly in Materials (3 papers) and Lymphatic System and Diseases (2 papers). Kun Mi is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), Supramolecular Self-Assembly in Materials (3 papers) and Lymphatic System and Diseases (2 papers). Kun Mi collaborates with scholars based in China and United States. Kun Mi's co-authors include Zhihua Xing, Jia Cheng, Hao Wang, Jianming Huang, Huifen Liu, Zhihua Feng, Xiaojun Zhao, Ben Huang, Yi Zhu and Guixia Wang and has published in prestigious journals such as PLoS ONE, Oncogene and Scientific Reports.

In The Last Decade

Kun Mi

17 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Mi China 11 152 117 66 62 54 19 355
Mohammad Sayeeduddin United States 10 160 1.1× 149 1.3× 83 1.3× 75 1.2× 19 0.4× 12 421
Lanqing Cao China 10 121 0.8× 66 0.6× 40 0.6× 48 0.8× 26 0.5× 21 281
Zhenzhai Cai China 12 110 0.7× 84 0.7× 40 0.6× 64 1.0× 27 0.5× 26 293
Carolyn Van Pelt United States 10 171 1.1× 178 1.5× 66 1.0× 40 0.6× 26 0.5× 14 365
Suan Sun China 12 268 1.8× 75 0.6× 197 3.0× 40 0.6× 29 0.5× 24 403
Chih‐Yung Yang Taiwan 11 215 1.4× 80 0.7× 131 2.0× 80 1.3× 77 1.4× 24 420
Annabelle Chow Canada 12 185 1.2× 168 1.4× 101 1.5× 43 0.7× 22 0.4× 17 398
Naifu Liu China 12 118 0.8× 85 0.7× 81 1.2× 35 0.6× 35 0.6× 31 374
Huirong Ding China 11 173 1.1× 110 0.9× 77 1.2× 24 0.4× 27 0.5× 23 376

Countries citing papers authored by Kun Mi

Since Specialization
Citations

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

Fields of papers citing papers by Kun Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Mi. A scholar is included among the top collaborators of Kun Mi 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 Kun Mi. Kun Mi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Liu, Shiwei, Miao Yu, Meihua Wang, et al.. (2025). The optimal neoadjuvant treatment strategy for HR+/HER2 + breast cancer: a network meta-analysis. Scientific Reports. 15(1). 713–713.
2.
Mi, Kun, et al.. (2025). Dynamic Leader–Follower Hierarchies in Collective Cell Migration. The FASEB Journal. 39(13). e70806–e70806.
3.
Mi, Kun, Wei‐Chun Chou, Qiran Chen, et al.. (2024). Predicting tissue distribution and tumor delivery of nanoparticles in mice using machine learning models. Journal of Controlled Release. 374. 219–229. 35 indexed citations
4.
Wang, Hao & Kun Mi. (2023). Emerging roles of endoplasmic reticulum stress in the cellular plasticity of cancer cells. Frontiers in Oncology. 13. 1110881–1110881. 19 indexed citations
5.
6.
Zhang, Guonan, Yi Zhu, Yu Shi, et al.. (2021). Association of somatic mutations in BRCA2 BRC domain with chemotherapy sensitivity and survival in high grade serous ovarian cancer. Experimental Cell Research. 406(1). 112742–112742. 5 indexed citations
7.
Zhang, Yue, et al.. (2021). Tunicamycin-induced endoplasmic reticulum stress inhibits chemoresistance of FaDu hypopharyngeal carcinoma cells in 3D collagen I cultures and in vivo. Experimental Cell Research. 405(2). 112725–112725. 10 indexed citations
8.
Zhang, Lu, Yuan Ren, Wei Dai, et al.. (2021). Epiregulin confers EGFR-TKI resistance via EGFR/ErbB2 heterodimer in non-small cell lung cancer. Oncogene. 40(14). 2596–2609. 30 indexed citations
9.
Wang, Qifeng, Bangrong Cao, Lin Peng, et al.. (2021). Development and Validation of a Practical Prognostic Coagulation Index for Patients with Esophageal Squamous Cell Cancer. Annals of Surgical Oncology. 28(13). 8450–8461. 9 indexed citations
10.
11.
Yao, Wenxiu, Liyang Wang, Huan Huang, et al.. (2020). All-trans retinoic acid reduces cancer stem cell-like cell-mediated resistance to gefitinib in NSCLC adenocarcinoma cells. BMC Cancer. 20(1). 315–315. 38 indexed citations
12.
Huang, Yecai, Jianming Huang, Mei Feng, et al.. (2017). Early changes in the apparent diffusion coefficient and MMP‑9 expression of a cervical carcinoma U14 allograft model following irradiation. Oncology Letters. 14(6). 6769–6775. 3 indexed citations
13.
Liu, Hong, Guonan Zhang, Kun Mi, et al.. (2016). Atractylenolide I modulates ovarian cancer cell-mediated immunosuppression by blocking MD-2/TLR4 complex-mediated MyD88/NF-κB signaling in vitro. Journal of Translational Medicine. 14(1). 104–104. 41 indexed citations
14.
Mi, Kun & Zhihua Xing. (2015). CD44+/CD24- breast cancer cells exhibit phenotypic reversion in three-dimensional self-assembling peptide RADA16 nanofiber scaffold. International Journal of Nanomedicine. 10. 3043–3043. 25 indexed citations
15.
Zhang, Guonan, Jianming Huang, Ling Wang, et al.. (2014). TP53 K351N mutation-associated platinum resistance after neoadjuvant chemotherapy in patients with advanced ovarian cancer. Gynecologic Oncology. 132(3). 752–757. 28 indexed citations
16.
Li, Chao, Ning Geng, Chunhua Li, et al.. (2013). Angiopoietin-2 expression is correlated with angiogenesis and overall survival in oral squamous cell carcinoma. Medical Oncology. 30(2). 571–571. 20 indexed citations
17.
18.
Mi, Kun, Zhihua Feng, Zijia Liu, et al.. (2009). SELF-ASSEMBLING PEPTIDE RADA16 NANOFIBRE SCAFFOLD FOR A CANCER CELL THREE-DIMENSIONAL CULTURE. 18(10112). 801–810. 1 indexed citations
19.
Mi, Kun, Guixia Wang, Zijia Liu, et al.. (2009). Influence of a Self‐Assembling Peptide, RADA16, Compared with Collagen I and Matrigel on the Malignant Phenotype of Human Breast‐Cancer Cells in 3D Cultures and in vivo. Macromolecular Bioscience. 9(5). 437–443. 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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