Lichuan Yang

13.6k citations
79 papers · 10.7k indexed · 4 hit papers · h-index 51

Lichuan Yang

78 papers receiving 10.5k citations

Hit Papers

Dopamine neurons derived from human ES cells efficiently...1.4k20032026201020184008001.2k

Peers

Lichuan Yang
Comparison fields: 5 of 126
  • Neurology 3.5k
  • Cellular and Molecular Neuroscience 4.0k
  • Developmental Neuroscience 733
  • Neurology 1.3k
  • Molecular Biology 6.3k
Replace Dimitri Krainc with:
Dimitri Krainc United States
Daniel Offen Israel
Kim Tieu United States
Ranjita Betarbet United States
Jie Shen United States
M. Maral Mouradian United States
Frédéric Calon Canada
Noel Y. Calingasan United States
Philip C. Wong United States
Russell T. Matthews United States
Lichuan Yang relative to Dimitri Krainc United States Dimitri Krainc's profile →
Citations per field
00.5×1.6×
Dimitri Krainc · 1×
Citations per year

Countries citing papers authored by Lichuan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lichuan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202020
2 201817
3 201512
4 201264
5 201130
6
[Antibacterial activity determination of six kinds of natural herbs in yunnan on normal oral predominant].
20101
7 200995
8 200984
9 200973
10 200792
11 200761
12 2007121
13 2007174
14
Functional engraftment of human ES cell–derived dopaminergic neurons enriched by coculture with telomerase-immortalized midbrain astrocytesbreakdown →
2006629
15 200554
16 200447
17 200467
18 200161
19 199930
20 199819

About Lichuan Yang

Lichuan Yang is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 79 papers that have together received 10.7k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (27 papers), Mitochondrial Function and Pathology (22 papers), Genetic Neurodegenerative Diseases (17 papers), Nuclear Receptors and Signaling (10 papers), Coenzyme Q10 studies and effects (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Nerve injury and regeneration (8 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Neurology (3.5k citations), Cellular and Molecular Neuroscience (4.0k citations) and Developmental Neuroscience (733 citations). Lichuan Yang has collaborated with scholars based in United States, China and Russia. Frequent co-authors include M. Flint Beal, Russell T. Matthews, M. Flint Beal, Noel Y. Calingasan, Yufeng Yang, Bingwei Lu, Carine Cléren, Susan Browne, Robert J. Ferrante and Yingshi Ouyang. Their work appears in journals such as Journal of Neuroscience, Experimental Neurology, Neurobiology of Disease, Proceedings of the National Academy of Sciences and Journal of Neurochemistry.

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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