Shengli Wan

21 total papers · 508 total citations
19 papers, 371 citations indexed

About

Shengli Wan is a scholar working on Biomaterials, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Shengli Wan has authored 19 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomaterials, 7 papers in Molecular Biology and 5 papers in Biomedical Engineering. Recurrent topics in Shengli Wan's work include Nanoparticle-Based Drug Delivery (9 papers), Nanoplatforms for cancer theranostics (4 papers) and Advanced Drug Delivery Systems (3 papers). Shengli Wan is often cited by papers focused on Nanoparticle-Based Drug Delivery (9 papers), Nanoplatforms for cancer theranostics (4 papers) and Advanced Drug Delivery Systems (3 papers). Shengli Wan collaborates with scholars based in China and Thailand. Shengli Wan's co-authors include Jianming Wu, Qingze Fan, Yuesong Wu, Haiyang Hu, Jingqing Zhang, Xiaoqin Tang, Lu Yu, Jia Lai, Chunxiang Zhang and Anguo Wu and has published in prestigious journals such as ACS Applied Materials & Interfaces, Pharmaceutical Research and Colloids and Surfaces B Biointerfaces.

In The Last Decade

Shengli Wan

19 papers receiving 365 citations

Hit Papers

Macrophage cell membrane-... 2022 2026 2023 2024 2022 50 100 150
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Macrophage cell membrane-based nanoparticles: a new promising biomimetic platform for targeted delivery and treatment
    2022 153 citations Yuesong Wu, Shengli Wan et al. Journal of Nanobiotechnology profile →

Author Peers

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

Author Last Decade Papers Cites
Shengli Wan 129 128 117 55 41 19 371
Po‐Han Chao 145 1.1× 88 0.7× 101 0.9× 73 1.3× 30 0.7× 17 411
Shuwen Cao 157 1.2× 116 0.9× 119 1.0× 76 1.4× 18 0.4× 16 400
Lingjie Ke 102 0.8× 188 1.5× 134 1.1× 43 0.8× 47 1.1× 19 416
Tijia Chen 129 1.0× 123 1.0× 141 1.2× 44 0.8× 28 0.7× 9 340
Xianyan Qin 117 0.9× 88 0.7× 106 0.9× 65 1.2× 57 1.4× 18 421
Haiyang Hu 101 0.8× 153 1.2× 88 0.8× 43 0.8× 69 1.7× 17 398
Yifan Fang 157 1.2× 120 0.9× 101 0.9× 38 0.7× 19 0.5× 27 387
Kaiqing Yun 81 0.6× 169 1.3× 106 0.9× 99 1.8× 34 0.8× 14 353
Wenyi Song 182 1.4× 103 0.8× 143 1.2× 95 1.7× 70 1.7× 16 406
Chang‐Hee Whang 109 0.8× 91 0.7× 62 0.5× 47 0.9× 39 1.0× 20 341

Countries citing papers authored by Shengli Wan

Since Specialization
Citations

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

Fields of papers citing papers by Shengli Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengli Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Shengli Wan. A scholar is included among the top collaborators of Shengli Wan 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 Shengli Wan. Shengli Wan 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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2026