Gan Liu

3.6k total citations · 1 hit paper
104 papers, 3.1k citations indexed

About

Gan Liu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Gan Liu has authored 104 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 25 papers in Biomedical Engineering and 21 papers in Molecular Biology. Recurrent topics in Gan Liu's work include Nanoplatforms for cancer theranostics (17 papers), Nanoparticle-Based Drug Delivery (16 papers) and Semiconductor materials and devices (13 papers). Gan Liu is often cited by papers focused on Nanoplatforms for cancer theranostics (17 papers), Nanoparticle-Based Drug Delivery (16 papers) and Semiconductor materials and devices (13 papers). Gan Liu collaborates with scholars based in China, United States and Singapore. Gan Liu's co-authors include Lin Mei, Xiaowei Zeng, Wei Tao, Miaomiao Luo, Xusheng Wang, Xudong Zhang, Xiaoyuan Ji, Lin Nie, Yao‐Xin Lin and Laiqiang Huang and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Gan Liu

93 papers receiving 3.0k citations

Hit Papers

Polydopamine‐Modified Black Phosphorous Nanocapsule with ... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers

Gan Liu
Comparison fields: 5 of 135
  • Biomedical Engineering 1.5k
  • Biomaterials 1.2k
  • Materials Chemistry 989
  • Molecular Biology 828
  • Electrical and Electronic Engineering 344
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Quan Zhou China
Gurusamy Saravanakumar South Korea
Peisheng Xu United States
Jie Zhao China View profile →
Citations per field, relative to Gan Liu
Gan Liu · 1×
Citations per year, relative to Gan Liu
Gan Liu · 1×

Countries citing papers authored by Gan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Gan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Gan Liu. A scholar is included among the top collaborators of Gan Liu 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 Gan Liu. Gan Liu 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 0
3 0
4 0
5 5
6 1
7 0
8 2
9 1
10 1
11 0
12 16
13 32
14 50
15 41
16 179
17 216
18
The treatment choice and outcome of aortic intramural hematoma
1
19
Noncooperative Game for Radio Resource Management in Heterogeneous Wireless Networks
1
20
Spatial subchannel allocation algorithm based on multiuser MIMO/OFDM systems
1

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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