Meihua Sui

5.1k total citations · 2 hit papers
73 papers, 4.3k citations indexed

About

Meihua Sui is a scholar working on Molecular Biology, Biomaterials and Oncology. According to data from OpenAlex, Meihua Sui has authored 73 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 24 papers in Biomaterials and 22 papers in Oncology. Recurrent topics in Meihua Sui's work include Nanoparticle-Based Drug Delivery (24 papers), RNA Interference and Gene Delivery (17 papers) and Dendrimers and Hyperbranched Polymers (14 papers). Meihua Sui is often cited by papers focused on Nanoparticle-Based Drug Delivery (24 papers), RNA Interference and Gene Delivery (17 papers) and Dendrimers and Hyperbranched Polymers (14 papers). Meihua Sui collaborates with scholars based in China, United States and New Zealand. Meihua Sui's co-authors include Youqing Shen, Jianbin Tang, Weiwei Mao, Jinqiang Wang, Weimin Fan, Weilin Sun, William J. Murdoch, Jianbin Tang, Erlei Jin and Dongsheng Huang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Meihua Sui

72 papers receiving 4.3k citations

Hit Papers

The Role of Micelle Size in Tumor Accumulation, Penetrati... 2010 2026 2015 2020 2015 2010 100 200 300 400 500

Peers

Meihua Sui
Comparison fields: 5 of 125
  • Biomaterials 2.0k
  • Molecular Biology 1.9k
  • Biomedical Engineering 1.5k
  • Oncology 844
  • Materials Chemistry 544
Replace Chengqiong Mao with:
Chengqiong Mao China
Swati Biswas India
Xiangrui Liu China
Xianyi Sha China
Olga B. Garbuzenko United States
Kazuko Toh Japan
Silvia Arpicco Italy
Xiao‐Jiao Du China
Chen Jiang China
Wenbing Dai China
Chengqiong Mao China View profile →
Citations per field, relative to Meihua Sui
Meihua Sui · 1×
Citations per year, relative to Meihua Sui
Meihua Sui · 1×

Countries citing papers authored by Meihua Sui

Since Specialization
Citations

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

Fields of papers citing papers by Meihua Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meihua Sui

This figure shows the co-authorship network connecting the top 25 collaborators of Meihua Sui. A scholar is included among the top collaborators of Meihua Sui 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 Meihua Sui. Meihua Sui 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
# Work Indexed citations
1 0
2 3
3 59
4 4
5 15
6 294
7 4
8 1
9 5
10 32
11 354
12 59
13 156
14 60
15 5
16 8
17 22
18 14
19 18
20 16

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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