Jiangling Wan

2.5k citations
59 papers · 2.1k · h-index 25

Impact in

    • Advanced Drug Delivery Systems
    • Drug Solubulity and Delivery Systems
    • Advancements in Transdermal Drug Delivery
    • Nanoparticle-Based Drug Delivery
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Jiangling Wan

55 papers receiving 2.1k citations

Peers

Jiangling Wan
Comparison fields: 5 of 125
  • Pharmaceutical Science 679
  • Biomaterials 609
  • Molecular Medicine 78
  • Biomedical Engineering 589
  • Dermatology 90
Replace Khalid M. El‐Say with:
Khalid M. El‐Say Saudi Arabia
Atul P. Sherje India
Xinru Li China
Kuldeep K. Bansal Finland
Deepika Aggarwal India
Eliézer Jäger Czechia
Neha Gulati India
Wenquan Liang China
Bader M. Aljaeid Saudi Arabia
Awesh K. Yadav India
Jiangling Wan relative to Khalid M. El‐Say Saudi Arabia Khalid M. El‐Say's profile →
Citations per field
00.5×1.5×1.9×
Khalid M. El‐Say · 1×
Citations per year

Countries citing papers authored by Jiangling Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jiangling Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiangling Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiangling Wan Line = papers co-authored together Jiangling Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008188
2 2009170
3 2013145
4 2011118
5 2009115
6 2019105
7 202090
8 201980
9 201780
10 201875
11 201472
12 201271
13 201361
14 201257
15 201853
16 201153
17 202446
18 200844
19 202138
20 202031

About Jiangling Wan

Jiangling Wan is a scholar working on Molecular Biology, Biomedical Engineering, Pharmaceutical Science, Materials Chemistry and Biomaterials, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (9 papers), Advancements in Transdermal Drug Delivery (9 papers), Advanced Drug Delivery Systems (7 papers), Nanoplatforms for cancer theranostics (7 papers), Drug Solubulity and Delivery Systems (6 papers), Graphene and Nanomaterials Applications (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Pharmaceutical Science (679 citations), Biomaterials (609 citations), Molecular Medicine (78 citations), Biomedical Engineering (589 citations) and Dermatology (90 citations). Jiangling Wan has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xiangliang Yang, Huibi Xu, Huabing Chen, Yi Tao, Zifu Li, Dongsheng Mou, Jiankun Guan, Wei Liu, Chen Xiao and Yuxiang Tang. Their work appears in journals such as RSC Advances, Nanotechnology, Chemical Engineering Journal, Nanoscale and Journal of Agricultural and Food Chemistry.

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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