Weiming Lv

2.0k total citations
44 papers, 1.2k citations indexed

About

Weiming Lv is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, Weiming Lv has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Endocrinology, Diabetes and Metabolism and 12 papers in Cancer Research. Recurrent topics in Weiming Lv's work include Thyroid Cancer Diagnosis and Treatment (15 papers), MicroRNA in disease regulation (6 papers) and BRCA gene mutations in cancer (4 papers). Weiming Lv is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (15 papers), MicroRNA in disease regulation (6 papers) and BRCA gene mutations in cancer (4 papers). Weiming Lv collaborates with scholars based in China, United States and Hong Kong. Weiming Lv's co-authors include Shenming Wang, Maoguang Ma, Bo Lin, Wenjian Wang, Guangqi Chang, Mao Ouyang, Jieyi Ma, Haipeng Xiao, Nu Zhang and Qing Li and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Oncogene.

In The Last Decade

Weiming Lv

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiming Lv China 18 645 497 313 188 180 44 1.2k
Baoguo Liu China 16 672 1.0× 452 0.9× 245 0.8× 140 0.7× 106 0.6× 51 1.1k
Wenhe Zhao China 15 387 0.6× 325 0.7× 176 0.6× 218 1.2× 168 0.9× 45 886
Tian Liao China 22 614 1.0× 406 0.8× 349 1.1× 306 1.6× 131 0.7× 71 1.4k
Mateus Camargo Barros‐Filho Brazil 18 479 0.7× 322 0.6× 124 0.4× 133 0.7× 149 0.8× 45 879
J.S.P. Yuen Singapore 15 481 0.7× 242 0.5× 297 0.9× 199 1.1× 178 1.0× 38 1.1k
Wenwu Dong China 24 852 1.3× 657 1.3× 779 2.5× 167 0.9× 451 2.5× 75 1.8k
Saif S. Al-Sobhi Saudi Arabia 17 295 0.5× 260 0.5× 379 1.2× 228 1.2× 205 1.1× 66 881
Philip M. Spanheimer United States 18 307 0.5× 275 0.6× 121 0.4× 390 2.1× 190 1.1× 63 865
Minghua Ge China 23 653 1.0× 347 0.7× 577 1.8× 423 2.3× 462 2.6× 86 1.7k
Isabelle Peyrottes France 18 293 0.5× 278 0.6× 181 0.6× 263 1.4× 170 0.9× 41 901

Countries citing papers authored by Weiming Lv

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Weiming Lv. A scholar is included among the top collaborators of Weiming Lv 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 Weiming Lv. Weiming Lv 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.
2.
Yang, Ciqiu, Yitian Chen, Junsheng Zhang, et al.. (2025). Differences in HER2-0 and HER2-low Breast Cancer: Androgen Receptor and Programmed Death Ligand 1 as Predictive Factors. Journal of Breast Cancer. 28(1). 23–23.
3.
Sang, Ye, Mengke Chen, Shubin Hong, et al.. (2024). The ERK inhibitor GDC-0994 selectively inhibits growth of BRAF mutant cancer cells. Translational Oncology. 45. 101991–101991. 6 indexed citations
4.
Yang, Rui, Ruixia Li, Jing Zhang, et al.. (2023). Exploring the Association Between Thyroid Function and Oral Microbiome Diversity: An NHANES Analysis. Journal of the Endocrine Society. 7(11). bvad125–bvad125. 11 indexed citations
5.
He, Weiman, Zhen Cheng, Zijun Huo, et al.. (2023). STRA6 Promotes Thyroid Carcinoma Progression via Activation of the ILK/AKT/mTOR Axis in Cells and Female Nude Mice. Endocrinology. 164(3). 3 indexed citations
6.
Hong, Shubin, Bo Lin, Minjie Xu, et al.. (2023). Cell-free DNA methylation biomarker for the diagnosis of papillary thyroid carcinoma. EBioMedicine. 90. 104497–104497. 9 indexed citations
7.
Wang, Zhecun, Jing Zhang, Ruixia Li, et al.. (2023). The interference between effects of PFAS exposure on thyroid hormone disorders and cholesterol levels: an NHANES analysis. Environmental Science and Pollution Research. 30(39). 90949–90959. 17 indexed citations
8.
Liu, Yihao, Fenghua Lai, Bo Lin, et al.. (2023). Deep learning to predict cervical lymph node metastasis from intraoperative frozen section of tumour in papillary thyroid carcinoma: a multicentre diagnostic study. EClinicalMedicine. 60. 102007–102007. 8 indexed citations
9.
Chen, Mengke, Ye Sang, Yulu Chen, et al.. (2023). Methylation-Mediated Silencing of ATF3 Promotes Thyroid Cancer Progression by Regulating Prognostic Genes in the MAPK and PI3K/AKT Pathways. Thyroid. 33(12). 1441–1454. 18 indexed citations
10.
Hong, Shubin, Yubin Xie, Zhen Cheng, et al.. (2022). Distinct molecular subtypes of papillary thyroid carcinoma and gene signature with diagnostic capability. Oncogene. 41(47). 5121–5132. 24 indexed citations
11.
Yu, Shuang, Changan Liu, Jie Li, et al.. (2022). Integrative metabolomic characterization identifies plasma metabolomic signature in the diagnosis of papillary thyroid cancer. Oncogene. 41(17). 2422–2430. 20 indexed citations
12.
Li, Jie, Xinya Gao, Zhanqiang Zhang, et al.. (2021). CircCD44 plays oncogenic roles in triple-negative breast cancer by modulating the miR-502–5p/KRAS and IGF2BP2/Myc axes. Molecular Cancer. 20(1). 138–138. 82 indexed citations
13.
Zhang, Luyao, Dan Xiong, Qian Liu, et al.. (2021). Genome-Wide Histone H3K27 Acetylation Profiling Identified Genes Correlated With Prognosis in Papillary Thyroid Carcinoma. Frontiers in Cell and Developmental Biology. 9. 682561–682561. 14 indexed citations
14.
Liu, Yihao, Fenghua Lai, Jianyan Long, et al.. (2020). Screening and the epidemic of thyroid cancer in China: An analysis of national representative inpatient and commercial insurance databases. International Journal of Cancer. 148(5). 1106–1114. 25 indexed citations
15.
Chen, Li, Li Xiong, Jin Li, et al.. (2020). Circulating Myeloid-derived Suppressor Cells Facilitate Invasion of Thyroid Cancer Cells by Repressing miR-486-3p. The Journal of Clinical Endocrinology & Metabolism. 105(8). 2704–2718. 12 indexed citations
16.
He, Jincan, Bo Lin, Zhen Liang, et al.. (2019). H3K27me3 loss plays a vital role in CEMIP mediated carcinogenesis and progression of breast cancer with poor prognosis. Biomedicine & Pharmacotherapy. 123. 109728–109728. 30 indexed citations
17.
Ke, Zunfu, Yihao Liu, Yunjian Zhang, et al.. (2018). Diagnostic value and lymph node metastasis prediction of a custom‑made panel (thyroline) in thyroid cancer. Oncology Reports. 40(2). 659–668. 9 indexed citations
18.
Li, Jie, et al.. (2015). R-Smad Signaling-Mediated VEGF Expression Coordinately Regulates Endothelial Cell Differentiation of Rat Mesenchymal Stem Cells. Stem Cells and Development. 24(11). 1320–1331. 17 indexed citations
19.
Li, Wen, Songqi Li, Jie Li, et al.. (2014). MCP-1 Stimulates MMP-9 Expression via ERK 1/2 and p38 MAPK Signaling Pathways in Human Aortic Smooth Muscle Cells. Cellular Physiology and Biochemistry. 34(2). 266–276. 76 indexed citations
20.
Yu, Jianxing, Xuefei Huang, Weiming Lv, et al.. (2009). Combination of stromal-derived factor-1α and vascular endothelial growth factor gene-modified endothelial progenitor cells is more effective for ischemic neovascularization. Journal of Vascular Surgery. 50(3). 608–616. 67 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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