Li Wei

479 citations
24 papers · 241 · h-index 11

Impact in

Papers in

Li Wei

22 papers receiving 233 citations

Peers

Li Wei
Comparison fields: 5 of 86
  • Family Practice 14
  • Cancer Research 43
  • Health Information Management 12
  • Developmental Neuroscience 9
  • Genetics 20
Replace Alaina K. Fournier with:
Alaina K. Fournier United States
Gerald C Hsu United States
Benjamin Harris United Kingdom
Christoph Ehlken Germany
Seohyun Kim South Korea
Xinxin Zhang China
Dorota Łubgan Germany
Shudong Li China
Shona Tormey Ireland
Li Wei relative to Alaina K. Fournier United States Alaina K. Fournier's profile →
Citations per field
00.5×
Alaina K. Fournier · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201632
2 201128
3 201427
4 201524
5 202123
6 201517
7 202215
8 199711
9 201111
10 202011
11 202010
12 20148
13 20207
14 20126
15 20203
16 20242
17 20221
18
Research on Development of Sport Academic Journal of New China
20091
19
Searching for the Peptide Ligands of Interleukin-2 in Phage-displayed Peptide Library
19991
20 20241

About Li Wei

Li Wei is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 241 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Nuclear Receptors and Signaling (2 papers), Extracellular vesicles in disease (2 papers), Inflammasome and immune disorders (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Macrophage Migration Inhibitory Factor (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Family Practice (14 citations), Cancer Research (43 citations), Health Information Management (12 citations), Developmental Neuroscience (9 citations) and Genetics (20 citations). Li Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dongsheng Zhao, Jinshen Wang, Qing Liang, Ping Zhu, Wei Zhang, Pengcheng Liu, Jin Qi, Y. Ding, Kejia Wang and Ken Kin Lam Yung. Their work appears in journals such as PLoS ONE, Journal of neurosurgery, Journal of Telemedicine and Telecare, Renal Failure and OncoTargets and Therapy.

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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