Wenge Liu

3.8k citations
59 papers · 3.1k indexed · 2 hit papers · h-index 23
Topics
Connective tissue disorders research (9 papers)Nanoparticle-Based Drug Delivery (6 papers)Tissue Engineering and Regenerative Medicine (4 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Wenge Liu

56 papers receiving 3.1k citations

Hit Papers

Tumor Vascular Permeability, Accumulation, and Penetratio...200620262012201920062009200400600

Peers

Wenge Liu
Comparison fields: 5 of 144
  • Biomaterials 1.5k
  • Molecular Biology 1.1k
  • Biomedical Engineering 1000
  • Genetics 542
  • Organic Chemistry 362
Replace Yuji Teramura with:
Yuji Teramura Japan
Julie C. Liu United States
Richard Tsai United States
Forrest M. Kievit United States
Bowen Li United States
Takahito Kawano Japan
Shuang Wang China
Zhefan Yuan China
Ki Hyun Bae South Korea
Kaushal Rege United States
Wenge Liu relative to Yuji Teramura Japan Yuji Teramura's profile →
Citations per field
00.5×1.5×2.2×
Yuji Teramura · 1×
Citations per year

Countries citing papers authored by Wenge Liu

Since Specialization
Citations

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

Fields of papers citing papers by Wenge Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenge Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenge Liu. A scholar is included among the top collaborators of Wenge 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 Wenge Liu. Wenge 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
#WorkIndexed citations
1 1
2 1
3 1
4 12
5 15
6 27
7 13
8 15
9 109
10 58
11 10
12 35
13 41
14
Self-assembling chimeric polypeptide–doxorubicin conjugate nanoparticles that abolish tumours after a single injectionbreakdown →
500
15 123
16 53
17
Tumor Vascular Permeability, Accumulation, and Penetration of Macromolecular Drug Carriersbreakdown →
743
18 126
19 144
20 10

About Wenge Liu

Wenge Liu is a scholar working on Biomaterials, Surfaces, Coatings and Films and Genetics, having authored 59 papers that have together received 3.1k indexed citations. Recurring topics across this work include Connective tissue disorders research (9 papers), Nanoparticle-Based Drug Delivery (6 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Biomaterials (1.5k citations), Surfaces, Coatings and Films (215 citations) and Molecular Medicine (139 citations). Wenge Liu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ashutosh Chilkoti, Matthew R. Dreher, Mark W. Dewhirst, Charles R. Michelich, Michael R. Zalutsky, Fan Yuan, J. Andrew MacKay, Andrew J. Simnick, Jonathan R. McDaniel and Mingnan Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Materials.

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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