Li Wei

23 papers receiving 241 citations

Peers

Li Wei
Comparison fields: 5 of 82
  • Family Practice 5
  • Cancer Research 37
  • Developmental Neuroscience 8
  • Genetics 19
  • Molecular Biology 95
Replace Farid G. Khalafalla with:
Farid G. Khalafalla United States
Michal Kýr Czechia
Wei Meng China
Siqi Zhou China
Hamed Rahmani Youshanlouei Iran
Christoph Ehlken Germany
Peiwei Zhao China
Shi-you Zhou China
Ren‐He Xu Macao
Charlotte Bailey United States
Li Wei relative to Farid G. Khalafalla United States Farid G. Khalafalla's profile →
Citations per field
00.5×11×
Farid G. Khalafalla · 1×
Citations per year

Countries citing papers authored by Li Wei

Since Specialization
Citations

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

Fields of papers citing papers by Li Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201633
2 201428
3 201128
4 201524
5 202123
6 201518
7 202217
8 201111
9 199711
10 202011
11 202010
12 20148
13 20207
14 20126
15 20243
16 20203
17 20262
18 20221
19
Searching for the Peptide Ligands of Interleukin-2 in Phage-displayed Peptide Library
19991
20
Research on Development of Sport Academic Journal of New China
20091

About Li Wei

Li Wei is a scholar working on Molecular Biology, Immunology, Public Health, Environmental and Occupational Health, Surgery and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 249 indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (2 papers), Macrophage Migration Inhibitory Factor (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Ophthalmology and Visual Impairment Studies (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Glycosylation and Glycoproteins Research (1 paper), Diverse Approaches in Healthcare and Education Studies (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Family Practice (5 citations), Cancer Research (37 citations), Developmental Neuroscience (8 citations), Genetics (19 citations) and Molecular Biology (95 citations). Li Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dongsheng Zhao, Qing Liang, Ping Zhu, Jin Qi, Kejia Wang, YS Chan, Jinshen Wang, Pengcheng Liu, Wei Zhang and Fei Kuang. Their work appears in journals such as PLoS ONE, Pharmacoepidemiology and Drug Safety, CNS & Neurological Disorders - Drug Targets, IEEE Transactions on Industrial Informatics and Applied Materials Today.

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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