Lingmi Hou

695 total citations
44 papers, 487 citations indexed

About

Lingmi Hou is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Lingmi Hou has authored 44 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Oncology and 16 papers in Cancer Research. Recurrent topics in Lingmi Hou's work include Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (8 papers) and Cancer Risks and Factors (4 papers). Lingmi Hou is often cited by papers focused on Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (8 papers) and Cancer Risks and Factors (4 papers). Lingmi Hou collaborates with scholars based in China, United States and Macao. Lingmi Hou's co-authors include Shishan Deng, Jun Jiang, Maoshan Chen, Zheng‐Wei Yang, Minghao Wang, Hongwei Yang, Jiani Hu, Xiaobo Zhao, Guanwu Li and Guo Chen and has published in prestigious journals such as Advanced Materials, ACS Nano and Scientific Reports.

In The Last Decade

Lingmi Hou

36 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lingmi Hou China	13	252	172	119	77	56	44	487
Yunyun Xiao China	14	274 1.1×	128 0.7×	91 0.8×	36 0.5×	36 0.6×	24	428
Ji‐Yoon Ryu South Korea	10	324 1.3×	84 0.5×	180 1.5×	49 0.6×	49 0.9×	17	486
Hongyu Zheng China	12	356 1.4×	204 1.2×	121 1.0×	57 0.7×	144 2.6×	33	677
Jun Dong China	15	328 1.3×	93 0.5×	74 0.6×	51 0.7×	38 0.7×	40	591
Chong Hao China	11	311 1.2×	216 1.3×	112 0.9×	29 0.4×	53 0.9×	16	569
Ling‐Min Kong China	14	588 2.3×	270 1.6×	135 1.1×	62 0.8×	136 2.4×	22	791
Xiaoqi He China	14	353 1.4×	222 1.3×	91 0.8×	50 0.6×	31 0.6×	34	579
Wei‐Neng Fu China	17	565 2.2×	344 2.0×	99 0.8×	59 0.8×	52 0.9×	43	712

Countries citing papers authored by Lingmi Hou

Since Specialization

Citations

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

Fields of papers citing papers by Lingmi Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingmi Hou

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

All Works

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20 of 20 papers shown

Wu, Gang, Chunyan Zhong, Xiaohui Tian, et al.. (2025). Emerging roles of hyaluronic acid hydrogels in cancer treatment and wound healing: A review. International Journal of Biological Macromolecules. 303. 140442–140442. 2 indexed citations

Qu, Peng, Xue Li, Jun Liu, et al.. (2025). Application of Gene Editing Technology Based on Targeted Delivery Materials in TNBC. ACS Omega. 10(37). 42110–42126.

Hou, Lingmi, et al.. (2025). Carbohydrate polymer-based nanoparticles in curcumin delivery for cancer therapy. International Journal of Biological Macromolecules. 304(Pt 1). 140441–140441. 3 indexed citations

Luo, Yunbo, Yali Wang, Shishan Deng, et al.. (2025). The crosstalk of breast cancer and ischemic heart disease. Cell Death Discovery. 11(1). 185–185.

Li, Xinkai, Bo Zhou, Jin Lv, et al.. (2025). Wood Microchannel‐Confined Assembly of Cellulosic Liquid Crystals for Modulable Chromatic Materials. Advanced Materials. 38(9). e18709–e18709.

Wang, Yali, et al.. (2025). A selective RCC1 inhibitor loaded in membrane-coated DNA nanocage for targeted suppression of TNBC progression. Materials Today Bio. 34. 102232–102232.

Zhao, Long, et al.. (2025). Global trends and research hotspots in autophagy and tumor drug resistance: a bibliometric analysis. Discover Oncology. 16(1). 734–734.

Luo, Yunbo, et al.. (2024). ER+/PR− phenotype exhibits more aggressive biological features and worse outcome compared with ER+/PR+ phenotype in HER2-negative inflammatory breast cancer. Scientific Reports. 14(1). 197–197. 2 indexed citations

Wang, Dongmei, You Liao, Hao Zeng, et al.. (2024). Manipulating Radiation‐Sensitive Z‐DNA Conformation for Enhanced Radiotherapy. Advanced Materials. 36(29). e2313991–e2313991. 12 indexed citations

10.

Liu, Chenghui, Qiqi Xu, Jiani Xie, et al.. (2024). Chronological adaptive polyoxometalate-based hydrogel for diabetic chronic wounds through synchronous bacterial ferroptosis death and immunomodulation. Nano Today. 58. 102415–102415. 18 indexed citations

11.

Hou, Lingmi, et al.. (2024). Breast-conserving surgery versus modified radical mastectomy in T1-2N3M0 stage breast cancer: a propensity score matching analysis. Breast Cancer. 31(5). 979–987. 2 indexed citations

12.

Pu, Hongyu, et al.. (2023). Single progesterone receptor-positive phenotype has the similar clinicopathological features and outcome as triple-negative subtype in metastatic breast cancer. Frontiers in Oncology. 13. 1029648–1029648. 3 indexed citations

13.

Wang, Jinxiang, Xiaowei Feng, Yanling Liang, et al.. (2023). PROS1 shapes the immune-suppressive tumor microenvironment and predicts poor prognosis in glioma. Frontiers in Immunology. 13. 1052692–1052692. 22 indexed citations

14.

Pu, Hongyu, Yunbo Luo, Xin Li, et al.. (2023). Development and validation of nomograms for predicting survival outcomes in patients with T1-2N1 breast cancer to identify those who could not benefit from postmastectomy radiotherapy. Frontiers in Oncology. 13. 1112687–1112687. 1 indexed citations

15.

Yang, Hongwei, et al.. (2021). 76P The clinical survival benefit of postmastectomy radiotherapy patients screened form T1-2N1M0 breast cancer according to tumour size and the number of lymph nodes. Annals of Oncology. 32. S54–S54. 1 indexed citations

16.

Xu, Zhou, et al.. (2021). Correlation Analysis of Breast and Thyroid Nodules: A Cross-Sectional Study. International Journal of General Medicine. Volume 14. 3999–4010. 5 indexed citations

17.

Wang, Minghao, Junyan Li, Ying Hu, et al.. (2020). Supraclavicular lymph node dissection with radiotherapy versus radiotherapy alone for operable breast cancer with synchronous ipsilateral supraclavicular lymph node metastases: a real-world cohort study. Gland Surgery. 9(2). 329–341. 12 indexed citations

18.

Liu, Jiayou, et al.. (2020). DNAJB4 identified as a potential breast cancer marker: evidence from bioinformatics analysis and basic experiments. Gland Surgery. 9(6). 1955–1972. 11 indexed citations

19.

Hou, Lingmi, Maoshan Chen, Xiaobo Zhao, et al.. (2016). FAT4 functions as a tumor suppressor in triple-negative breast cancer. Tumor Biology. 37(12). 16337–16343. 25 indexed citations

20.

Deng, Shishan, Jianguo Wang, Lingmi Hou, et al.. (2012). Annexin A1, A2, A4 and A5 play important roles in breast cancer, pancreatic cancer and laryngeal carcinoma, alone and/or synergistically. Oncology Letters. 5(1). 107–112. 62 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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