Gang Liu

48.3k total citations · 11 hit papers
962 papers, 37.8k citations indexed

About

Gang Liu is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Gang Liu has authored 962 papers receiving a total of 37.8k indexed citations (citations by other indexed papers that have themselves been cited), including 362 papers in Biomedical Engineering, 312 papers in Molecular Biology and 161 papers in Materials Chemistry. Recurrent topics in Gang Liu's work include Nanoplatforms for cancer theranostics (239 papers), Nanoparticle-Based Drug Delivery (106 papers) and Advanced biosensing and bioanalysis techniques (68 papers). Gang Liu is often cited by papers focused on Nanoplatforms for cancer theranostics (239 papers), Nanoparticle-Based Drug Delivery (106 papers) and Advanced biosensing and bioanalysis techniques (68 papers). Gang Liu collaborates with scholars based in China, United States and Hong Kong. Gang Liu's co-authors include Xiaohong Chen, Chengchao Chu, Junqing Wang, Xiaoyong Wang, Yang Zhang, Hua Ai, Wen Cai, Jinhao Gao, Yun Zeng and Xin Pang and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

Gang Liu

908 papers receiving 37.4k citations

Hit Papers

PEGylated WS2 Nanosheets as a Multifunctional Theranostic... 2007 2026 2013 2019 2013 2007 2013 2018 2014 250 500 750 1000

Peers

Gang Liu
Comparison fields: 5 of 197
  • Biomedical Engineering 17.5k
  • Materials Chemistry 11.8k
  • Molecular Biology 10.9k
  • Biomaterials 7.7k
  • Pulmonary and Respiratory Medicine 2.8k
Replace Chunying Chen with:
Chunying Chen China
Xing‐Jie Liang China
Yaping Li China
André E. Nel United States
Huanghao Yang China
Ning Gu China
Yuliang Zhao China
Morteza Mahmoudi United States
Weibo Cai United States
Xiaoyuan Chen China
Chunying Chen China View profile →
Citations per field, relative to Gang Liu
Gang Liu · 1×
Citations per year, relative to Gang Liu
Gang Liu · 1×

Countries citing papers authored by Gang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Gang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Liu. A scholar is included among the top collaborators of Gang 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 Gang Liu. Gang 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 8
2 17
3 0
4 1
5 11
6 9
7 2
8 0
9 0
10 4
11 7
12 8
13 4
14 3
15 64
16 9
17 18
18 3
19 4
20 229

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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