Minhong Shen

2.0k total citations
25 papers, 1.3k citations indexed

About

Minhong Shen is a scholar working on Molecular Biology, Oncology and Reproductive Medicine. According to data from OpenAlex, Minhong Shen has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Oncology and 7 papers in Reproductive Medicine. Recurrent topics in Minhong Shen's work include Endometriosis Research and Treatment (7 papers), Peptidase Inhibition and Analysis (6 papers) and Cancer Mechanisms and Therapy (5 papers). Minhong Shen is often cited by papers focused on Endometriosis Research and Treatment (7 papers), Peptidase Inhibition and Analysis (6 papers) and Cancer Mechanisms and Therapy (5 papers). Minhong Shen collaborates with scholars based in China, United States and Canada. Minhong Shen's co-authors include Yibin Kang, Xishi Liu, Sun‐Wei Guo, Hongqi Zhang, Yong Wei, Hanqiu Zheng, Tianhua Zhou, Wenyang Li, Andrés Blanco and Ding Ding and has published in prestigious journals such as Cell, Nature Medicine and Genes & Development.

In The Last Decade

Minhong Shen

25 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minhong Shen China 16 643 370 327 265 243 25 1.3k
Karen D. Cowden Dahl United States 15 678 1.1× 277 0.7× 102 0.3× 124 0.5× 432 1.8× 26 1.1k
Arild Holth Norway 20 512 0.8× 373 1.0× 157 0.5× 67 0.3× 303 1.2× 54 1.1k
Yuzhen Feng China 14 462 0.7× 230 0.6× 97 0.3× 126 0.5× 145 0.6× 30 827
Mélanie Mestdagt Belgium 11 568 0.9× 382 1.0× 118 0.4× 85 0.3× 211 0.9× 13 1.0k
Takeshi Motohara Japan 14 634 1.0× 427 1.2× 186 0.6× 66 0.2× 333 1.4× 29 1.1k
Jessica C.A. Bouma-ter Steege Netherlands 8 410 0.6× 322 0.9× 198 0.6× 158 0.6× 142 0.6× 9 851
Tsutomu Imai Japan 8 595 0.9× 330 0.9× 117 0.4× 53 0.2× 316 1.3× 15 900
Clara Salamanca Canada 12 382 0.6× 178 0.5× 290 0.9× 49 0.2× 170 0.7× 15 708
Tsz-Lun Yeung United States 15 1.3k 2.0× 514 1.4× 263 0.8× 38 0.1× 875 3.6× 28 1.9k
Takafumi Kuroda Japan 14 439 0.7× 245 0.7× 127 0.4× 41 0.2× 172 0.7× 26 694

Countries citing papers authored by Minhong Shen

Since Specialization
Citations

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

Fields of papers citing papers by Minhong Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minhong Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Minhong Shen. A scholar is included among the top collaborators of Minhong Shen 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 Minhong Shen. Minhong Shen 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.
Zhang, Si‐Wei, et al.. (2026). Sensory neurons drive immune exclusion by stimulating a dense extracellular matrix in the breast cancer tumor microenvironment. Cell. 189(4). 1039–1055.e20. 1 indexed citations
2.
Jin, Xi, Yin Liu, Zi-Yu Wang, et al.. (2025). Mobilizing antigen-presenting mast cells in anti-PD-1-refractory triple-negative breast cancer: a phase 2 trial. Nature Medicine. 31(7). 2405–2415. 3 indexed citations
3.
Shen, Minhong, et al.. (2025). Results of dienogest treatment and its discontinuation in patients with symptomatic adenomyosis: a prospective cohort study. Reproductive BioMedicine Online. 51(2). 104880–104880. 1 indexed citations
4.
Liu, Xishi, et al.. (2023). Shorter Anogenital Distance in Women with Ovarian Endometriomas and Adenomyosis, but Not Uterine Leiomyomas. Biomedicines. 11(10). 2618–2618. 5 indexed citations
5.
Li, Jun, Dawei Chen, & Minhong Shen. (2022). Tumor Microenvironment Shapes Colorectal Cancer Progression, Metastasis, and Treatment Responses. Frontiers in Medicine. 9. 869010–869010. 48 indexed citations
6.
Shen, Minhong & Yibin Kang. (2022). Cancer fitness genes: emerging therapeutic targets for metastasis. Trends in cancer. 9(1). 69–82. 6 indexed citations
7.
Shen, Minhong, Heath A. Smith, Yong Wei, et al.. (2021). Pharmacological disruption of the MTDH–SND1 complex enhances tumor antigen presentation and synergizes with anti-PD-1 therapy in metastatic breast cancer. Nature Cancer. 3(1). 60–74. 45 indexed citations
8.
Shen, Minhong, Shanshan Xie, Michelle Rowicki, et al.. (2020). Therapeutic Targeting of Metadherin Suppresses Colorectal and Lung Cancer Progression and Metastasis. Cancer Research. 81(4). 1014–1025. 37 indexed citations
9.
Shen, Minhong & Yibin Kang. (2020). Stresses in the metastatic cascade: molecular mechanisms and therapeutic opportunities. Genes & Development. 34(23-24). 1577–1598. 18 indexed citations
10.
Wang, Xuxiang, Wenyang Li, Minhong Shen, et al.. (2020). ASB13 inhibits breast cancer metastasis through promoting SNAI2 degradation and relieving its transcriptional repression of YAP. Genes & Development. 34(19-20). 1359–1372. 35 indexed citations
11.
Shen, Minhong, Yi-Zhou Jiang, Yong Wei, et al.. (2019). Tinagl1 Suppresses Triple-Negative Breast Cancer Progression and Metastasis by Simultaneously Inhibiting Integrin/FAK and EGFR Signaling. Cancer Cell. 35(1). 64–80.e7. 136 indexed citations
12.
Shen, Minhong & Yibin Kang. (2018). Complex interplay between tumor microenvironment and cancer therapy. Frontiers of Medicine. 12(4). 426–439. 46 indexed citations
13.
14.
Guo, Sun‐Wei, Ding Ding, Minhong Shen, & Xishi Liu. (2015). Dating Endometriotic Ovarian Cysts Based on the Content of Cyst Fluid and its Potential Clinical Implications. Reproductive Sciences. 22(7). 873–883. 68 indexed citations
15.
Shen, Minhong, Xishi Liu, Hongqi Zhang, & Sun‐Wei Guo. (2015). Transforming growth factor β1 signaling coincides with epithelial–mesenchymal transition and fibroblast-to-myofibroblast transdifferentiation in the development of adenomyosis in mice. Human Reproduction. 31(2). dev314–dev314. 114 indexed citations
16.
Wan, Liling, Xin Lü, Salina Yuan, et al.. (2014). MTDH-SND1 Interaction Is Crucial for Expansion and Activity of Tumor-Initiating Cells in Diverse Oncogene- and Carcinogen-Induced Mammary Tumors. Cancer Cell. 26(1). 92–105. 109 indexed citations
17.
Guo, Feng, Liling Wan, Aiping Zheng, et al.. (2014). Structural Insights into the Tumor-Promoting Function of the MTDH-SND1 Complex. Cell Reports. 8(6). 1704–1713. 41 indexed citations
18.
Zheng, Hanqiu, Minhong Shen, Wenyang Li, et al.. (2014). PKD1 Phosphorylation-Dependent Degradation of SNAIL by SCF-FBXO11 Regulates Epithelial-Mesenchymal Transition and Metastasis. Cancer Cell. 26(3). 358–373. 175 indexed citations
19.
Shen, Minhong, Yuqi Cai, Yuehong Yang, et al.. (2013). Centrosomal protein FOR20 is essential for S-phase progression by recruiting Plk1 to centrosomes. Cell Research. 23(11). 1284–1295. 29 indexed citations
20.
Deng, Yujie, Yanjun Xu, Juan Jin, et al.. (2013). MiR-215 modulates gastric cancer cell proliferation by targeting RB1. Cancer Letters. 342(1). 27–35. 78 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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