Meng Lin

1.7k total citations · 1 hit paper
49 papers, 1.2k citations indexed

About

Meng Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Molecular Biology. According to data from OpenAlex, Meng Lin has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Otorhinolaryngology and 8 papers in Molecular Biology. Recurrent topics in Meng Lin's work include MRI in cancer diagnosis (21 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Head and Neck Cancer Studies (9 papers). Meng Lin is often cited by papers focused on MRI in cancer diagnosis (21 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Head and Neck Cancer Studies (9 papers). Meng Lin collaborates with scholars based in China, United States and Ethiopia. Meng Lin's co-authors include Yang Zheng, Rutai Hui, Dongmei Chen, Yang Yang, Xiaoduo Yu, Chunwu Zhou, Han Ouyang, Chengchao Shou, Yanfeng Zhao and Hong‐Tu Zhang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Meng Lin

45 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Depression increases the risk of hypertension incidence

2012 391 citations Meng Lin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meng Lin China	14	321	282	268	155	142	49	1.2k
Natalya Danchenko United States	19	151 0.5×	108 0.4×	172 0.6×	92 0.6×	65 0.5×	62	1.5k
Valentina Bianchi Italy	23	133 0.4×	83 0.3×	103 0.4×	157 1.0×	198 1.4×	67	2.2k
Felipe N. Albuquerque United States	15	79 0.2×	351 1.2×	231 0.9×	289 1.9×	129 0.9×	41	1.5k
D. David Portugal	17	200 0.6×	594 2.1×	130 0.5×	478 3.1×	117 0.8×	53	1.7k
Katharina Förster Germany	20	123 0.4×	80 0.3×	149 0.6×	143 0.9×	234 1.6×	74	1.1k
Patricia L. Turner United States	18	108 0.3×	78 0.3×	96 0.4×	150 1.0×	95 0.7×	34	1.2k
Barbara Bennett Australia	20	95 0.3×	101 0.4×	100 0.4×	44 0.3×	184 1.3×	39	1.6k
Jessica Martin United States	19	134 0.4×	125 0.4×	61 0.2×	914 5.9×	188 1.3×	36	1.9k
Arturo García‐Touchard Spain	14	178 0.6×	579 2.1×	199 0.7×	79 0.5×	130 0.9×	43	1.4k
Katsuji Nishimura Japan	20	50 0.2×	206 0.7×	83 0.3×	71 0.5×	58 0.4×	98	1.2k

Countries citing papers authored by Meng Lin

Since Specialization

Citations

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

Fields of papers citing papers by Meng Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Lin. A scholar is included among the top collaborators of Meng Lin 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 Meng Lin. Meng Lin 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

Li, Xiaolu, et al.. (2025). The Potential of Model‐Free Parameters Derived From IVIM in Evaluating Pathological Indicators and Long‐Term Survival in NPC. Journal of Magnetic Resonance Imaging. 62(1). 73–86. 1 indexed citations

Jiang, Hui, et al.. (2025). Construction of a nomogram for predicting serum vitamin D deficiency in children/adolescents with new-onset type 1 diabetes: a single-center study in China. Frontiers in Pediatrics. 13. 1554833–1554833.

Lin, Meng, et al.. (2024). Proportion of vitamin D deficiency in children/adolescents with type 1 diabetes: a systematic review and meta-analysis. BMC Pediatrics. 24(1). 192–192. 10 indexed citations

Wang, Lu, Xiaoxia Wang, Shilin Liu, et al.. (2024). Adding quantitative T1rho-weighted imaging to conventional MRI improves specificity and sensitivity for differentiating malignant from benign breast lesions. Magnetic Resonance Imaging. 108. 98–103. 3 indexed citations

Yang, Fan, Xiaolu Li, Xiaoduo Yu, et al.. (2023). Pretreatment synthetic magnetic resonance imaging predicts disease progression in nonmetastatic nasopharyngeal carcinoma after intensity modulation radiation therapy. Insights into Imaging. 14(1). 59–59. 5 indexed citations

Yang, Lü, Lei Wang, Xian Peng, et al.. (2023). Amide Proton Transfer-weighted MRI combined with serum prostate-specific antigen levels for differentiating malignant prostate lesions from benign prostate lesions: a retrospective cohort study. Cancer Imaging. 23(1). 3–3. 8 indexed citations

Wu, Wen‐Li, Yanfeng Zhao, Zhou Liu, et al.. (2023). Analysis of preoperative computed tomography radiomics and clinical factors for predicting postsurgical recurrence of papillary thyroid carcinoma. Cancer Imaging. 23(1). 118–118.

Zhao, Chuanke, Jin Ding, Lixin Wang, et al.. (2022). Targeting Claudin 18.2 Using a Highly Specific Antibody Enables Cancer Diagnosis and Guided Surgery. Molecular Pharmaceutics. 19(10). 3530–3541. 21 indexed citations

Li, Yang, et al.. (2022). A new strategy in molecular typing: the accuracy of an NGS panel for the molecular classification of endometrial cancers. Annals of Translational Medicine. 10(16). 870–870. 11 indexed citations

10.

Bao, Dan, Yanfeng Zhao, Yayuan Geng, et al.. (2021). Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma. Discover Oncology. 12(1). 63–63. 12 indexed citations

11.

Li, Xiaolu, et al.. (2020). Investigating the value of arterial spin labeling and intravoxel incoherent motion imaging on diagnosing nasopharyngeal carcinoma in T1 stage. Cancer Imaging. 20(1). 62–62. 7 indexed citations

12.

Chen, Ye, Qingsheng Kong, Dandan Li, et al.. (2019). Ureter tissue engineering with vessel extracellular matrix and differentiated urine-derived stem cells. Acta Biomaterialia. 88. 266–279. 27 indexed citations

13.

Lin, Meng, et al.. (2016). Apparent diffusion coefficient value measurements with diffusion magnetic resonance imaging correlated with the expression levels of estrogen and progesterone receptor in breast cancer: A meta-analysis. Journal of Cancer Research and Therapeutics. 12(1). 36–36. 10 indexed citations

14.

Guo, Wei, Dehong Luo, Meng Lin, et al.. (2016). Pretreatment Intra-Voxel Incoherent Motion Diffusion-Weighted Imaging (IVIM-DWI) in Predicting Induction Chemotherapy Response in Locally Advanced Hypopharyngeal Carcinoma. Medicine. 95(10). e3039–e3039. 26 indexed citations

15.

Lin, Meng, Xiaoduo Yu, Yan Chen, et al.. (2016). Contribution of mono-exponential, bi-exponential and stretched exponential model-based diffusion-weighted MR imaging in the diagnosis and differentiation of uterine cervical carcinoma. European Radiology. 27(6). 2400–2410. 36 indexed citations

16.

Lin, Meng, Xiaoduo Yu, Han Ouyang, Dehong Luo, & Chunwu Zhou. (2015). Consistency of T2WI-FS/ASL fusion images in delineating the volume of nasopharyngeal carcinoma. Scientific Reports. 5(1). 18431–18431. 11 indexed citations

17.

Li, Lin, Yong Wang, Yanfeng Zhao, et al.. (2014). Evaluation with low-dose dual-phase helical computed tomography of patients with thyroid lesions. Chinese Medical Journal. 127(22). 3937–3943. 2 indexed citations

18.

Yu, Xiaoduo, Meng Lin, Han Ouyang, Chunwu Zhou, & Hong‐Tu Zhang. (2012). Application of ADC measurement in characterization of renal cell carcinomas with different pathological types and grades by 3.0T diffusion-weighted MRI. European Journal of Radiology. 81(11). 3061–3066. 67 indexed citations

19.

Guo, Jianping, Chengchao Shou, Meng Lin, et al.. (2007). Neuronal protein synuclein γ predicts poor clinical outcome in breast cancer. International Journal of Cancer. 121(6). 1296–1305. 51 indexed citations

20.

Jin, Genglin, Meng Lin, Hong Ma, et al.. (2004). Subcellullar localization of tumor-associated antigen 3H11Ag. Biochemical and Biophysical Research Communications. 324(2). 922–930. 11 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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