Meng Dai

2.4k total citations · 1 hit paper
57 papers, 1.8k citations indexed

About

Meng Dai is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Meng Dai has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Oncology. Recurrent topics in Meng Dai's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Microbial Natural Products and Biosynthesis (5 papers) and Tendon Structure and Treatment (5 papers). Meng Dai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Microbial Natural Products and Biosynthesis (5 papers) and Tendon Structure and Treatment (5 papers). Meng Dai collaborates with scholars based in China, United States and Germany. Meng Dai's co-authors include Theresa A. Branchek, Christophe Gerald, Beth Borowsky, Quanrong Shen, Margaret M. Durkin, Thomas M. Laz, Kelley L. Morse, Dhanapalan Nagarathnam, Mary F. Johnson and John Salon and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Clinical Infectious Diseases.

In The Last Decade

Meng Dai

52 papers receiving 1.7k citations

Hit Papers

GABAB receptors function as a heteromeric assembly of the... 1998 2026 2007 2016 1998 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Dai China 15 869 817 358 176 142 57 1.8k
Philipp Albrecht Germany 33 1.1k 1.2× 584 0.7× 223 0.6× 182 1.0× 73 0.5× 162 3.7k
Kenneth S. Shindler United States 32 1.8k 2.1× 552 0.7× 205 0.6× 87 0.5× 74 0.5× 101 3.8k
J. Graham McGeown United Kingdom 22 824 0.9× 361 0.4× 270 0.8× 74 0.4× 84 0.6× 59 1.8k
Hideki Katoh Japan 29 1.5k 1.7× 447 0.5× 207 0.6× 156 0.9× 84 0.6× 145 3.0k
Bo Lei China 32 1.5k 1.8× 510 0.6× 431 1.2× 55 0.3× 30 0.2× 173 3.1k
Taku Asano Japan 26 1.1k 1.3× 533 0.7× 340 0.9× 239 1.4× 128 0.9× 153 2.8k
Satoshi Ueno Japan 29 896 1.0× 506 0.6× 133 0.4× 164 0.9× 44 0.3× 143 2.4k
Y. Mukhin United States 21 1.1k 1.2× 599 0.7× 163 0.5× 76 0.4× 35 0.2× 34 1.8k
Paul C. Dolber United States 30 1.8k 2.0× 650 0.8× 124 0.3× 141 0.8× 52 0.4× 58 4.6k
G Vassart Belgium 23 927 1.1× 772 0.9× 261 0.7× 33 0.2× 195 1.4× 40 3.0k

Countries citing papers authored by Meng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Meng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Dai. A scholar is included among the top collaborators of Meng Dai 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 Dai. Meng Dai 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.
Chen, Xiaoshan, Mengmeng Zhao, Xinming Zhao, et al.. (2024). Human Biodistribution and Radiation Dosimetry of the Targeting Fibroblast Growth Factor Receptor 1-Positive Tumors Tracer [ 68 Ga]Ga-DOTA-FGFR1-Peptide. Cancer Biotherapy and Radiopharmaceuticals. 39(10). 712–720. 1 indexed citations
2.
Chen, Xiaolin, Xinming Zhao, Xiaoshan Chen, et al.. (2024). Baseline 18 F-FDG PET Radiomics Predicting Therapeutic Efficacy of Diffuse Large B-Cell Lymphoma after R-CHOP (-Like) Therapy. Cancer Biotherapy and Radiopharmaceuticals. 40(2). 114–121. 1 indexed citations
4.
Chen, Xiaolin, Xinming Zhao, Jingmian Zhang, et al.. (2024). Comparison of 68Ga-FAPI-04 and 18F-FDG PET/CT in diagnosing ovarian cancer. Abdominal Radiology. 49(12). 4531–4542. 7 indexed citations
5.
Dai, Meng, et al.. (2024). The feasibility of diagnosing sprained ankle via 3D MRI reconstructing three-dimensional model of anterior talofibular ligament. Frontiers in Sports and Active Living. 6. 1488082–1488082.
6.
Chen, Xiaoshan, Xinming Zhao, Meng Dai, et al.. (2024). A head-to-head comparison of [68Ga]Ga-DOTA-FGFR1 and [18F]FDG PET/CT in the diagnosis of lung cancer. European Journal of Nuclear Medicine and Molecular Imaging. 52(3). 979–992. 3 indexed citations
7.
Dai, Meng, et al.. (2023). Downregulated expression of plakophilin‐2 gene in patients with colon adenocarcinoma predicts an unfavorable prognosis and immune infiltrate. The Journal of Gene Medicine. 26(1). e3592–e3592. 1 indexed citations
8.
Wang, Na, Meng Dai, Yan Zhao, et al.. (2023). Value of pre-treatment 18F-FDG PET/CT radiomics in predicting the prognosis of stage III-IV colorectal cancer. European Journal of Radiology Open. 10. 100480–100480. 1 indexed citations
9.
Lu, Lili, Yuru Shang, Meng Dai, et al.. (2022). Microsatellite Status and IκBα Expression Levels Predict Sensitivity to Pharmaceutical Curcumin in Colorectal Cancer Cells. Cancers. 14(4). 1032–1032. 5 indexed citations
10.
Guo, Tingting, Xiaoming Liu, Jiazheng Wang, et al.. (2020). Fangcang Shelter Hospital in Wuhan: A radiographic report on a cohort of 98 COVID-19 patients. International Journal of Medical Sciences. 17(14). 2125–2132. 3 indexed citations
11.
Dai, Meng, et al.. (2020). Quantitative evaluation of liver fibrosis based on ultrasound radio frequency signals: An animal experimental study. Computer Methods and Programs in Biomedicine. 199. 105875–105875. 13 indexed citations
12.
Zhang, Jianyuan, Xinming Zhao, Yan Zhao, et al.. (2019). Value of pre-therapy 18F-FDG PET/CT radiomics in predicting EGFR mutation status in patients with non-small cell lung cancer. European Journal of Nuclear Medicine and Molecular Imaging. 47(5). 1137–1146. 147 indexed citations
13.
Li, Juan, et al.. (2018). [Visually Isoattenuating Pancreatic Acinar Cell Carcinoma:Report of One Case].. PubMed. 40(5). 714–718. 1 indexed citations
14.
Jiang, Li, et al.. (2018). Study on effects botulinum toxin type A injection for pathological of gastrocnemius in rats with spinal cord injury. Annals of Physical and Rehabilitation Medicine. 61. e424–e424.
15.
Dai, Meng, et al.. (2018). Dysphagia after brain stem infarction: A quantitative analysis of videofluoroscopic observations. Zhonghua wuli yixue zazhi. 40(2). 87–90. 1 indexed citations
16.
Zhao, Xinming, Meng Dai, Jianfang Wang, et al.. (2011). Comparative study on imaging of 99 Tcm-survivin mRNA antisense peptide nucleic acid in tumor and inflammation animal models. 31(6). 364–367. 1 indexed citations
17.
Zhao, Xinming, Meng Dai, Yali Liu, et al.. (2011). Preparation of 99Tcm labeled survivin mRNA antisense PNA and gene imaging in nude mice bearing lung carcinoma A549 xenografts. 31(5). 339–343. 2 indexed citations
18.
Wang, Fuqiang, et al.. (2007). Molecular cloning and functional identification of a novel phenylacetyl-CoA ligase gene from Penicillium chrysogenum. Biochemical and Biophysical Research Communications. 360(2). 453–458. 26 indexed citations
19.
Raddatz, Rita, Roman Artymyshyn, James A. Bonini, et al.. (2000). Identification and Characterization of Two Neuromedin U Receptors Differentially Expressed in Peripheral Tissues and the Central Nervous System. Journal of Biological Chemistry. 275(42). 32452–32459. 170 indexed citations
20.
Jones, Kenneth, Beth Borowsky, Douglas A. Craig, et al.. (1998). GABAB receptors function as a heteromeric assembly of the subunits GABABR1 and GABABR2. Nature. 396(6712). 674–679. 889 indexed citations breakdown →

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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