Yuhui Wei

2.4k citations
127 papers · 1.8k · h-index 24

Impact in

Papers in

    • RNA Interference and Gene Delivery 7
    • Lipid Membrane Structure and Behavior 6
    • Drug Transport and Resistance Mechanisms 21

Yuhui Wei

120 papers receiving 1.8k citations

Peers

Yuhui Wei
Comparison fields: 5 of 149
  • Pharmaceutical Science 247
  • Pharmacology 152
  • Biomaterials 171
  • Polymers and Plastics 152
  • Molecular Medicine 43
Replace Parteek Prasher with:
Parteek Prasher India
Siyuan Zhou China
Abdulmalik Saleh Alfawaz Altamimi Saudi Arabia
Jingqing Zhang China
Tao Zhang China
Rahul Shukla India
Jong Kwon Lee South Korea
Sisi Cao United States
Yuhui Wei relative to Parteek Prasher India Parteek Prasher's profile →
Citations per field
00.5×5.8×
Parteek Prasher · 1×
Citations per year

Countries citing papers authored by Yuhui Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yuhui Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuhui Wei, 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 Yuhui Wei Line = papers co-authored together Yuhui Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201286
2 201885
3 201072
4 201666
5 201464
6 202360
7 201253
8 202252
9 201946
10 201943
11 201940
12 201034
13 201134
14 202234
15 201632
16 201931
17 202030
18 201930
19 202128
20 201626

About Yuhui Wei

Yuhui Wei is a scholar working on Molecular Biology, Oncology, Polymers and Plastics, Pharmacology and Biomedical Engineering, having authored 127 papers that have together received 1.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (21 papers), Textile materials and evaluations (15 papers), Dyeing and Modifying Textile Fibers (7 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), RNA Interference and Gene Delivery (7 papers), Supercapacitor Materials and Fabrication (6 papers), Food Drying and Modeling (6 papers) and Lipid Membrane Structure and Behavior (6 papers). The work is most often cited by research in Pharmaceutical Science (247 citations), Pharmacology (152 citations), Biomaterials (171 citations), Polymers and Plastics (152 citations) and Molecular Medicine (43 citations). Yuhui Wei has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xinan Wu, Yan Zhou, Guoqiang Zhang, Haogang Duan, Lili Xi, Qidi Ai, Hongyan Qin, Xuemei Ding, Yuqing Li and Jianping Zhang. Their work appears in journals such as Journal of the Textile Institute, Archives of Pharmacal Research, Cell Proliferation, Life Sciences and Environmental Pollution.

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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