Fanling Meng

66 total papers · 3.3k total citations
56 papers, 2.8k citations indexed

About

Fanling Meng is a scholar working on Biomedical Engineering, Physiology and Molecular Biology. According to data from OpenAlex, Fanling Meng has authored 56 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 20 papers in Physiology and 15 papers in Molecular Biology. Recurrent topics in Fanling Meng's work include Nanoplatforms for cancer theranostics (21 papers), Alzheimer's disease research and treatments (19 papers) and Luminescence and Fluorescent Materials (10 papers). Fanling Meng is often cited by papers focused on Nanoplatforms for cancer theranostics (21 papers), Alzheimer's disease research and treatments (19 papers) and Luminescence and Fluorescent Materials (10 papers). Fanling Meng collaborates with scholars based in China, United States and Hong Kong. Fanling Meng's co-authors include Liang Luo, Daniel P. Raleigh, Andisheh Abedini, Xiangliang Yang, C. Bruce Verchere, Xiuxia Wang, Mingming Yin, Liping Huang, Yanru Xin and Yuting Gao and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Fanling Meng

55 papers receiving 2.7k citations

Hit Papers

Mild photothermal therapy... 2019 2026 2021 2023 2019 2022 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fanling Meng 1.1k 1.0k 760 587 577 56 2.8k
Satoshi Kashiwagi 929 0.8× 1.5k 1.5× 705 0.9× 387 0.7× 448 0.8× 75 3.9k
Ralf P. Friedrich 868 0.8× 1.3k 1.3× 1.3k 1.7× 988 1.7× 408 0.7× 65 3.7k
Zhongmin Tian 1.1k 0.9× 1.1k 1.1× 324 0.4× 537 0.9× 384 0.7× 61 2.7k
Vladimir V. Shuvaev 522 0.5× 1.5k 1.4× 520 0.7× 773 1.3× 246 0.4× 74 3.6k
Tongkai Chen 1.0k 0.9× 1.1k 1.1× 244 0.3× 744 1.3× 789 1.4× 82 3.5k
Qianqian Li 1.1k 0.9× 1.3k 1.2× 231 0.3× 416 0.7× 580 1.0× 117 2.9k
Heather Hatcher 593 0.5× 1.5k 1.5× 359 0.5× 324 0.6× 345 0.6× 23 3.9k
Dongin Kim 1.4k 1.2× 2.1k 2.1× 904 1.2× 1.8k 3.0× 455 0.8× 74 5.1k
Junqi He 672 0.6× 1.6k 1.6× 222 0.3× 779 1.3× 635 1.1× 85 3.3k
Peng Yang 1.2k 1.0× 1.0k 1.0× 152 0.2× 593 1.0× 735 1.3× 65 2.9k

Countries citing papers authored by Fanling Meng

Since Specialization
Citations

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

Fields of papers citing papers by Fanling Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanling Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Fanling Meng. A scholar is included among the top collaborators of Fanling Meng 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 Fanling Meng. Fanling Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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