Wu Li

39 papers receiving 606 citations

Peers

Wu Li
Comparison fields: 5 of 100
  • Developmental Neuroscience 30
  • Genetics 59
  • Microbiology 33
  • Neurology 38
  • Environmental Chemistry 42
Replace Qi Feng with:
Qi Feng China
Shohei Murakami Japan
Gorazd Drevenšek Slovenia
Tanzeel Ahmed India
Changyin Yu China
Vishal Chavda India
Xiaoqing Dong China
Nicolas Gonçalves-Mendes France
Yulan Zhang China
Valérie Urbach France
Wu Li relative to Qi Feng China Qi Feng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wu Li

Since Specialization
Citations

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

Fields of papers citing papers by Wu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Alcohol consumption and cigarette smoking increase the frequency of p53 mutations in non-small cell lung cancer.
2000120
2 201381
3 201956
4 201546
5 201729
6 202028
7 201727
8 202024
9
Vincamine prevents lipopolysaccharide induced inflammation and oxidative stress via thioredoxin reductase activation in human corneal epithelial cells.
201823
10 201821
11
Association of the brain-derived neurotrophic factor gene G196A rs6265 polymorphisms and the cognitive function and clinical symptoms of schizophrenia.
201321
12 201219
13 201719
14 201717
15 202111
16 202010
17 20219
18 20098
19 20217
20 20187

About Wu Li

Wu Li is a scholar working on Epidemiology, Molecular Biology, Physiology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 612 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (2 papers), Mesenchymal stem cell research (2 papers), Autophagy in Disease and Therapy (2 papers), Per- and polyfluoroalkyl substances research (2 papers), Acute Ischemic Stroke Management (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Ocular Oncology and Treatments (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (30 citations), Genetics (59 citations), Microbiology (33 citations), Neurology (38 citations) and Environmental Chemistry (42 citations). Wu Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Mei Jie Zhang, Jin Jen, John T. Chow, David Sidransky, Xinfeng Liu, Juehua Zhu, Steven A. Ahrendt, Stephen C. Yang, Yongjun Jiang and Gelin Xu. Their work appears in journals such as Frontiers in Neurology, PLoS ONE, The Journal of Experimental Medicine, BioMed Research International and International Journal of Molecular Sciences.

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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