Ruimeng Yang

1.9k total citations
78 papers, 1.3k citations indexed

About

Ruimeng Yang is a scholar working on Molecular Biology, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ruimeng Yang has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 21 papers in Biomedical Engineering and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ruimeng Yang's work include Nanoplatforms for cancer theranostics (16 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and MRI in cancer diagnosis (10 papers). Ruimeng Yang is often cited by papers focused on Nanoplatforms for cancer theranostics (16 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and MRI in cancer diagnosis (10 papers). Ruimeng Yang collaborates with scholars based in China, United States and Hong Kong. Ruimeng Yang's co-authors include Xinqing Jiang, Ming Zhan, Xinhua Wei, Shengsheng Lai, Youyong Yuan, Shi‐Wei Luo, Yao Wang, Yongheng Shi, Liming Zhang and Jian Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Ruimeng Yang

70 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
Ruimeng Yang China 21 438 420 331 285 243 78 1.3k
Jesper Tranekjær Jørgensen Denmark 19 496 1.1× 270 0.6× 552 1.7× 178 0.6× 176 0.7× 50 1.3k
Marie‐France Penet United States 24 735 1.7× 341 0.8× 277 0.8× 196 0.7× 440 1.8× 66 1.7k
Chih-Hsien Chang Taiwan 21 376 0.9× 362 0.9× 518 1.6× 225 0.8× 116 0.5× 70 1.2k
Lin Li China 22 375 0.9× 268 0.6× 375 1.1× 400 1.4× 125 0.5× 151 1.6k
Ning Cao United States 23 487 1.1× 309 0.7× 254 0.8× 294 1.0× 196 0.8× 83 1.5k
Diana Möckel Germany 17 387 0.9× 383 0.9× 194 0.6× 132 0.5× 88 0.4× 33 1.4k
Z. Vujaskovic United States 19 335 0.8× 400 1.0× 486 1.5× 386 1.4× 196 0.8× 66 1.4k
Jinzi Zheng Canada 21 337 0.8× 528 1.3× 233 0.7× 163 0.6× 71 0.3× 44 1.2k
Axel Sckell Germany 20 725 1.7× 328 0.8× 507 1.5× 312 1.1× 352 1.4× 36 1.9k

Countries citing papers authored by Ruimeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ruimeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruimeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruimeng Yang. A scholar is included among the top collaborators of Ruimeng Yang 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 Ruimeng Yang. Ruimeng Yang 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.
Zhang, Lei, Ruimeng Yang, Yongchao Gao, et al.. (2025). Intestinal fungal signatures and their impact on immune checkpoint inhibitor efficacy: a multi-cohort meta-analysis. npj Biofilms and Microbiomes. 11(1). 188–188.
3.
Zeng, Ni, et al.. (2024). Fibroblast activation protein-sensitive polymeric nanobeacon for early diagnosis of renal fibrosis. Biosensors and Bioelectronics. 253. 116144–116144. 4 indexed citations
4.
Yang, Ruimeng, Xuxiang Liu, Jibin Zhang, et al.. (2024). Complementary Roles of DNMT3A and TET2 KO in Sculpting CD4-T Cells for Sustained Proliferation without Exhaustion to Promote Lymphomagenesis. Blood. 144(Supplement 1). 1362–1362. 1 indexed citations
5.
Zhang, Wanli, Yue Zhao, Jiamin Li, et al.. (2024). Multiparametric MR-based radiomics fusion combined with quantitative stratified ADC-defined tumor habitats for differentiating TNBC versus non-TNBC. Physics in Medicine and Biology. 69(5). 55032–55032. 1 indexed citations
6.
Zhang, Wanli, Nan Li, Jiamin Li, et al.. (2024). Noninvasive identification of proliferative hepatocellular carcinoma on multiphase dynamic CT: quantitative and LI-RADS lexicon-based evaluation. European Radiology. 35(6). 3460–3475. 2 indexed citations
7.
Qi, Wei, Ruimeng Yang, Xuxiang Liu, et al.. (2024). RHOAG17V Mutation Exhibits Markedly Different Functions in the Presence of TET2 Loss in T-Cells. Blood. 144(Supplement 1). 1360–1360.
8.
Lone, Waseem, Alyssa Bouska, Ab Rauf Shah, et al.. (2024). Tet2 Loss and IDH2R172K Mutation Develop TFH-Cell-like Lymphoma with Restricted TH1 Differentiation Program and Cognate Interaction with B Cells. Blood. 144(Supplement 1). 1357–1357. 1 indexed citations
9.
Yang, Ruimeng, Shiyang Song, Fengyao Wu, et al.. (2023). Myeloid cells interact with a subset of thyrocytes to promote their migration and follicle formation through NF-κB. Nature Communications. 14(1). 8082–8082. 3 indexed citations
10.
Wu, Fengyao, Feng Sun, Ya Fang, et al.. (2023). The isl2a transcription factor regulates pituitary development in zebrafish. Frontiers in Endocrinology. 14. 920548–920548. 3 indexed citations
11.
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Sun, Peng, Ajit George, Mengyan Li, et al.. (2023). Diffusion basis spectrum imaging detects pathological alterations in substantia nigra and white matter tracts with early-stage Parkinson’s disease. European Radiology. 33(12). 9109–9119. 7 indexed citations
13.
Liang, Yingying, et al.. (2022). Optimizing CT and MRI criteria for differentiating intrahepatic mass-forming cholangiocarcinoma and hepatocellular carcinoma. Acta Radiologica. 64(3). 926–935. 4 indexed citations
14.
Wang, Zihua, Yingying Liang, Xinhua Wei, et al.. (2022). A Computed Tomography Nomogram for Assessing the Malignancy Risk of Focal Liver Lesions in Patients With Cirrhosis: A Preliminary Study. Frontiers in Oncology. 11. 681489–681489. 1 indexed citations
15.
Yang, Ruimeng, Hui Wang, Miaomiao Guo, et al.. (2021). The RNA methyltransferase NSUN6 suppresses pancreatic cancer development by regulating cell proliferation. EBioMedicine. 63. 103195–103195. 83 indexed citations
16.
Yang, Huikang, Yang He, Yaojin Wang, et al.. (2020). Theranostic Nanoparticles with Aggregation-Induced Emission and MRI Contrast Enhancement Characteristics as a Dual-Modal Imaging Platform for Image-Guided Tumor Photodynamic Therapy. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Ye, Zezhong, Richard L. Price, Qingsong Yang, et al.. (2020). Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology. Clinical Cancer Research. 26(20). 5388–5399. 22 indexed citations
18.
Chen, Amei, et al.. (2020). Differences in Clinical and Imaging Presentation of Pediatric Patients with COVID-19 in Comparison with Adults. Radiology Cardiothoracic Imaging. 2(2). e200117–e200117. 84 indexed citations
19.
Yang, Ruimeng, Ming Zhan, Hao Yuan, et al.. (2020). Yolk sac-derived Pdcd11-positive cells modulate zebrafish microglia differentiation through the NF-κB-Tgfβ1 pathway. Cell Death and Differentiation. 28(1). 170–183. 11 indexed citations
20.
Long, Manmei, Ming Zhan, Sunwang Xu, et al.. (2017). miR-92b-3p acts as a tumor suppressor by targeting Gabra3 in pancreatic cancer. Molecular Cancer. 16(1). 167–167. 90 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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