Meng Li

4.9k total citations · 1 hit paper
200 papers, 3.5k citations indexed

About

Meng Li is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Meng Li has authored 200 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 32 papers in Public Health, Environmental and Occupational Health and 21 papers in Genetics. Recurrent topics in Meng Li's work include Reproductive Biology and Fertility (27 papers), Sperm and Testicular Function (14 papers) and Pluripotent Stem Cells Research (13 papers). Meng Li is often cited by papers focused on Reproductive Biology and Fertility (27 papers), Sperm and Testicular Function (14 papers) and Pluripotent Stem Cells Research (13 papers). Meng Li collaborates with scholars based in China, United States and United Kingdom. Meng Li's co-authors include David L. Keefe, Wei‐Hua Wang, Don P. Wolf, John J. Ely, Richard L. Stouffer, Cuilian Zhang, Ronghan Liu, Bin Ning, Xinyu Li and Jianan Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and ACS Nano.

In The Last Decade

Meng Li

183 papers receiving 3.4k citations

Hit Papers

Scalable Hybrid Films of Polyimide‐Animated Quantum Dots ... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Li China 30 1.3k 889 527 380 306 200 3.5k
Mutsuo Ishikawa Japan 28 1.2k 0.9× 413 0.5× 536 1.0× 444 1.2× 191 0.6× 157 3.0k
Xiaoyang Zhao China 41 3.1k 2.4× 501 0.6× 367 0.7× 516 1.4× 117 0.4× 158 5.7k
Yaqing Wang China 38 1.8k 1.4× 277 0.3× 256 0.5× 381 1.0× 103 0.3× 140 5.1k
Cinzia Di Pietro Italy 40 2.6k 2.0× 549 0.6× 439 0.8× 217 0.6× 126 0.4× 103 4.6k
Suvro Chatterjee India 39 1.8k 1.4× 968 1.1× 1.1k 2.1× 267 0.7× 108 0.4× 142 5.5k
Akiko Satô Japan 26 1.3k 1.0× 369 0.4× 386 0.7× 689 1.8× 744 2.4× 97 2.6k
Kenji Saito Japan 36 1.7k 1.4× 476 0.5× 76 0.1× 494 1.3× 112 0.4× 234 5.2k
Youngsok Choi South Korea 41 2.0k 1.6× 1.5k 1.7× 1.0k 1.9× 1.1k 2.8× 221 0.7× 140 4.9k
Kwonho Hong South Korea 30 3.5k 2.7× 513 0.6× 343 0.7× 728 1.9× 387 1.3× 140 5.4k

Countries citing papers authored by Meng Li

Since Specialization
Citations

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

Fields of papers citing papers by Meng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Li. A scholar is included among the top collaborators of Meng Li 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 Li. Meng Li 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.
Li, Meng & Ye Gu. (2025). From fiscal decentralization to high-quality economic development: role of tax administration intensity. Finance research letters. 77. 107047–107047. 5 indexed citations
2.
Liu, Shuang, et al.. (2025). Comprehensive study of different grades of Lonicerae japonicae flos: GC-IMS, UPLC-HRMS, and machine learning. Applied Food Research. 5(1). 100760–100760. 4 indexed citations
3.
Li, Meng, Xiaofei Liu, Wanmin Zhao, et al.. (2025). 3D bioprinted piezoelectric hydrogel synergized with LIPUS to promote bone regeneration. Materials Today Bio. 31. 101604–101604. 10 indexed citations
4.
Wang, Qingfei, Lei Han, Rui Pang, et al.. (2025). Polyporphyrin-Modified Hierarchical Framework Interface Layer Facilitates Highly Stable Microcrystallized Surface for Zn Anode. ACS Nano. 19(25). 23067–23079.
6.
Wisesa, Pandu, Meng Li, Matthew T. Curnan, et al.. (2025). Cu–Ni Oxidation Mechanism Unveiled: A Machine Learning-Accelerated First-Principles and in Situ TEM Study. Nano Letters. 25(4). 1329–1335. 4 indexed citations
7.
Li, Meng, et al.. (2024). Multiple strategies to improve the secretory expression of prolyl endopeptidase in Aspergillus niger. Process Biochemistry. 143. 98–105. 3 indexed citations
8.
Li, Meng, et al.. (2024). Prohibitin 2 confers NADPH oxidase 1-mediated cytosolic oxidative signaling to promote gastric cancer progression by ERK activation. Free Radical Biology and Medicine. 224. 130–143. 2 indexed citations
9.
Li, Meng & Jue Wang. (2024). The impact of vertical and horizontal pressures on policy diffusion: evidence from APLS adoption in China. Journal of Chinese Governance. 10(4). 558–582. 3 indexed citations
10.
Han, Xiaoqing, Panpan Wu, Xiaoyu Zheng, et al.. (2024). Transcriptome reanalysis and gene expression of 13 detoxification genes for avermectin and pyridaben resistance in Panonychus citri. Scientific Reports. 14(1). 25857–25857.
11.
Zhou, Tianqi, Shuailong Zhang, Meng Li, et al.. (2024). Highly Specific and Rapid Multiplex Identification of Candida Species Using Digital Microfluidics Integrated with a Semi-Nested Genoarray. Analytical Chemistry. 96(47). 18797–18805. 5 indexed citations
12.
Zhou, Peipei, Jie Shen, Xiao Ge, et al.. (2023). Classification and characterisation of extracellular vesicles‐related tuberculosis subgroups and immune cell profiles. Journal of Cellular and Molecular Medicine. 27(17). 2482–2494. 5 indexed citations
13.
Chen, Jun, et al.. (2023). Feature pyramid network-based computer-aided detection and monitoring treatment response of brain metastases on contrast-enhanced MRI. Clinical Radiology. 78(11). e808–e814. 1 indexed citations
14.
Li, Yonghai, Junzheng Yang, Meng Li, et al.. (2020). The Extracts of Human Fetal Brain Induce the Differentiation of Human Umbilical Cord Mesenchymal Stem Cells into Dopaminergic Neuron Containing Cells. Cellular Reprogramming. 22(5). 254–261. 1 indexed citations
15.
Zhao, Qing, Jing Wei, Chen‐Yu Zhang, et al.. (2019). Large-cell neuroendocrine carcinoma of nasal cavity and paranasal sinuses after successful curative therapy: a case report and literature review. SHILAP Revista de lepidopterología.
17.
Li, Meng, et al.. (2019). Study on the construction of nursing quality index of assisted reproduction center. 39(11). 914–916. 1 indexed citations
18.
Zhao, Shulin, Meng Li, Min Han, et al.. (2017). Defect‐Rich Ni3FeN Nanocrystals Anchored on N‐Doped Graphene for Enhanced Electrocatalytic Oxygen Evolution. Advanced Functional Materials. 28(18). 209 indexed citations
19.
Wang, Yanyan, et al.. (2016). Hypoxia Enhances Direct Reprogramming of Mouse Fibroblasts to Cardiomyocyte-Like Cells. Cellular Reprogramming. 18(1). 1–7. 15 indexed citations
20.
Wang, Wei‐Hua, et al.. (2001). Limited recovery of meiotic spindles in living human oocytes after cooling–rewarming observed using polarized light microscopy. Human Reproduction. 16(11). 2374–2378. 185 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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