Jinmiao Qu

538 total citations
24 papers, 428 citations indexed

About

Jinmiao Qu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Jinmiao Qu has authored 24 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Oncology. Recurrent topics in Jinmiao Qu's work include Thyroid Cancer Diagnosis and Treatment (7 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (3 papers). Jinmiao Qu is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (7 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (3 papers). Jinmiao Qu collaborates with scholars based in China, Nepal and Portugal. Jinmiao Qu's co-authors include Xiaohua Zhang, Ouchen Wang, Xiaoqu Hu, Xuanxuan Dai, Yinlong Yang, Yizuo Chen, Youqun Xiang, Jin-Xian Qian, Dong Xing and Xian Shen and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Talanta and Annals of Surgical Oncology.

In The Last Decade

Jinmiao Qu

24 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinmiao Qu China 11 169 154 141 96 84 24 428
Antonina Coppola Italy 10 78 0.5× 158 1.0× 69 0.5× 117 1.2× 47 0.6× 17 439
Kazuya Takemura Japan 10 44 0.3× 69 0.4× 79 0.6× 212 2.2× 47 0.6× 28 431
Peicheng Cao China 8 99 0.6× 79 0.5× 119 0.8× 18 0.2× 37 0.4× 12 288
Jatuporn Sujjitjoon Thailand 16 38 0.2× 145 0.9× 214 1.5× 310 3.2× 37 0.4× 30 508
Akihiko Serizawa Japan 10 20 0.1× 146 0.9× 47 0.3× 106 1.1× 50 0.6× 24 323
Peggy Benisch Germany 6 26 0.2× 251 1.6× 81 0.6× 87 0.9× 56 0.7× 7 444
Pingping Xiang China 8 37 0.2× 333 2.2× 73 0.5× 17 0.2× 183 2.2× 21 451
Di Tang China 12 16 0.1× 168 1.1× 65 0.5× 58 0.6× 110 1.3× 17 376
Deeksha Vishwamitra United States 11 28 0.2× 214 1.4× 33 0.2× 191 2.0× 121 1.4× 27 492
Haijiao Zhang China 10 19 0.1× 231 1.5× 40 0.3× 56 0.6× 67 0.8× 25 419

Countries citing papers authored by Jinmiao Qu

Since Specialization
Citations

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

Fields of papers citing papers by Jinmiao Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinmiao Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinmiao Qu. A scholar is included among the top collaborators of Jinmiao Qu 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 Jinmiao Qu. Jinmiao Qu 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.
Xu, Lian, Wen‐Wei Wu, Xiaojun Cai, et al.. (2025). A split-type near-infrared photoelectrochemical and colorimetric dual-mode biosensor for the high-performance determination of HepG2 cells. Talanta. 287. 127622–127622. 5 indexed citations
2.
Wang, Qingxuan, Linghui Dai, Shuwei Zhang, et al.. (2024). Combining radiomics and molecular biomarkers: a novel economic tool to improve diagnostic ability in papillary thyroid cancer. Frontiers in Endocrinology. 15. 1378360–1378360. 1 indexed citations
3.
Xu, Min, et al.. (2023). Engineering ultrasound-activated piezoelectric hydrogels with antibacterial activity to promote wound healing. Journal of Materials Chemistry B. 11(19). 4318–4329. 30 indexed citations
4.
Jiang, Wenjie, et al.. (2023). Budding uninhibited by benzimidazoles 1 might be a poor prognosis biomarker promoting the progression of papillary thyroid cancer. Environmental Toxicology. 38(9). 2047–2056. 3 indexed citations
5.
Xu, Min, et al.. (2021). A seven-lncRNA signature for predicting prognosis in breast carcinoma. Translational Cancer Research. 10(9). 4033–4046. 8 indexed citations
6.
7.
Zheng, Chen, et al.. (2020). Loc389641  Promotes Papillary Thyroid Cancer Progression by Regulating the Emt Pathway. Biomarkers in Medicine. 14(11). 969–980. 3 indexed citations
8.
Zhou, Yili, Adheesh Bhandari, Erjie Xia, et al.. (2020). Downregulated CDH3 decreases proliferation, migration, and invasion in thyroid cancer.. PubMed. 12(6). 3057–3067. 16 indexed citations
9.
10.
Xing, Dong, Teming Zhang, Ning Ding, et al.. (2020). Tumor-infiltrating B cell is associated with the control of progression of gastric cancer. Immunologic Research. 69(1). 43–52. 41 indexed citations
11.
Xu, Quanle, Jinmiao Qu, Bo Song, et al.. (2019). Lathyrus sativus Originating from Different Geographical Regions Reveals Striking Differences in Kunitz and Bowman–Birk Inhibitor Activities. Journal of Agricultural and Food Chemistry. 67(29). 8119–8129. 8 indexed citations
12.
Qu, Jinmiao, Yuming Jiang, Hao Liu, et al.. (2017). Prognostic Value of E-cadherin-, CD44-, and MSH2-associated Nomograms in Patients With Stage II and III Colorectal Cancer. Translational Oncology. 10(2). 121–131. 9 indexed citations
13.
Yang, Yinlong, Jin-Xian Qian, Youqun Xiang, Yizuo Chen, & Jinmiao Qu. (2016). The prognostic value of long noncoding RNA HOTTIP on clinical outcomes in breast cancer. Oncotarget. 8(4). 6833–6844. 36 indexed citations
14.
Yang, Yinlong, et al.. (2014). The use of OK-432 to prevent seroma in extended latissimus dorsi flap donor site after breast reconstruction. Journal of Surgical Research. 193(1). 492–496. 11 indexed citations
15.
Zeng, Ruichao, et al.. (2013). Severe Thrombocytopenia Induced by Second Exposure to Trastuzumab Can Be Alleviated by Prolonging the Interval Between Treatments. Clinical Breast Cancer. 14(2). e69–e72. 4 indexed citations
16.
Yang, Yinlong, Langping Jin, Yizuo Chen, et al.. (2013). Effect and mechanism of the metastasis suppressor gene BRMS1 on the migration of breast cancer cells.. PubMed. 6(10). 908–16. 6 indexed citations
17.
Qu, Jinmiao, et al.. (2013). Closure of skin incision after thyroidectomy through a supraclavicular approach: a comparison between tissue adhesive and staples. Scandinavian Journal of Surgery. 102(4). 234–240. 16 indexed citations
18.
Yang, Yinlong, Xinying Liu, Yizuo Chen, et al.. (2012). Effectiveness of OK-432 (Sapylin) to Reduce Seroma Formation After Axillary Lymphadenectomy for Breast Cancer. Annals of Surgical Oncology. 20(5). 1500–1504. 15 indexed citations
19.
Huang, Ou, Weili Wu, Ouchen Wang, et al.. (2011). Sentinel lymph node biopsy is unsuitable for routine practice in younger female patients with unilateral low-risk papillary thyroid carcinoma. BMC Cancer. 11(1). 386–386. 24 indexed citations
20.
Wang, Ouchen, et al.. (2010). The BRAF Mutation Is Predictive of Aggressive Clinicopathological Characteristics in Papillary Thyroid Microcarcinoma. Annals of Surgical Oncology. 17(12). 3294–3300. 145 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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