Cheng-Wei Lü

111 papers receiving 1.7k citations

Peers

Cheng-Wei Lü
Comparison fields: 5 of 128
  • Biological Psychiatry 72
  • Cellular and Molecular Neuroscience 462
  • Complementary and alternative medicine 206
  • Neurology 181
  • Developmental Neuroscience 75
Replace Tzu‐Yu Lin with:
Tzu‐Yu Lin Taiwan
Yuwen Li China
Jianguo Xu China
Byeong Hwa Jeon South Korea
Shuping Chen China
Tsung‐Ying Chen Taiwan
Luigi Antonio Morrone Italy
Boyi Liu China
Jaemin Lee South Korea
Jie Yu China
Cheng-Wei Lü relative to Tzu‐Yu Lin Taiwan Tzu‐Yu Lin's profile →
Citations per field
00.5×1.5×
Tzu‐Yu Lin · 1×
Citations per year

Countries citing papers authored by Cheng-Wei Lü

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Wei Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201263
2 201158
3 201658
4 201350
5 201444
6 200843
7 201143
8 201942
9 201241
10 201540
11 201539
12 201035
13 200534
14 201333
15 201032
16 200831
17 201431
18 201630
19 201329
20 201229

About Cheng-Wei Lü

Cheng-Wei Lü is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Neurology, having authored 118 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (51 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Ion channel regulation and function (13 papers), Cardiac, Anesthesia and Surgical Outcomes (7 papers), Medicinal Plants and Neuroprotection (7 papers), Alzheimer's disease research and treatments (5 papers), EEG and Brain-Computer Interfaces (5 papers) and Traditional Chinese Medicine Analysis (5 papers). The work is most often cited by research in Biological Psychiatry (72 citations), Cellular and Molecular Neuroscience (462 citations), Complementary and alternative medicine (206 citations), Neurology (181 citations) and Developmental Neuroscience (75 citations). Cheng-Wei Lü has collaborated with scholars based in Taiwan, China and United Kingdom. Frequent co-authors include Tzu‐Yu Lin, Su‐Jane Wang, Shu-Kuei Huang, Kuan‐Ming Chiu, Jiann-Shing Shieh, Ming-Yi Lee, Chia‐Chuan Wang, Ming‐Jiuh Wang, Maysam Abbod and Shou‐Zen Fan. Their work appears in journals such as International Journal of Molecular Sciences, European Journal of Pharmacology, NeuroToxicology, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Pharmacology.

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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