Chin‐Song Lu

3.3k citations
38 papers · 1.0k indexed · h-index 16
Topics
Parkinson's Disease Mechanisms and Treatments (16 papers)Neurological disorders and treatments (14 papers)Genetic Neurodegenerative Diseases (10 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Chin‐Song Lu

34 papers receiving 1.0k citations

Peers

Chin‐Song Lu
Comparison fields: 5 of 103
  • Neurology 479
  • Cellular and Molecular Neuroscience 308
  • Health, Toxicology and Mutagenesis 206
  • Molecular Biology 205
  • Neurology 162
Replace Chin-Song Lu with:
Chin-Song Lu Taiwan
Dharmin Rokad United States
G M Szpak Poland
Gary Zenitsky United States
Bart P. van de Warrenburg Netherlands
Wenbin Zhang China
Magdalena Gąssowska-Dobrowolska Poland
Elise A. Malecki United States
Roberto Fancellu Italy
Jeffrey M. Stajich United States
Chin‐Song Lu relative to Chin-Song Lu Taiwan Chin-Song Lu's profile →
Citations per field
00.5×1.5×
Chin-Song Lu · 1×
Citations per year

Countries citing papers authored by Chin‐Song Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Song Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Song Lu. 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 Chin‐Song Lu. The network helps show where Chin‐Song Lu may publish in the future.

Co-authorship network of co-authors of Chin‐Song Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Song Lu. A scholar is included among the top collaborators of Chin‐Song Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chin‐Song Lu. Chin‐Song Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 3
5 17
6 1
7 8
8 43
9 43
10 5
11 62
12 10
13 52
14 12
15 43
16 27
17 1
18 4
19 23
20 77

About Chin‐Song Lu

Chin‐Song Lu is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (16 papers), Neurological disorders and treatments (14 papers) and Genetic Neurodegenerative Diseases (10 papers). The work is most often cited by research in Neurology (479 citations), Neurology (162 citations) and Cellular and Molecular Neuroscience (308 citations). Chin‐Song Lu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include N.-S. Chu, Chien‐Chung Huang, Warren Olanow, Donald B. Calne, Rou‐Shayn Chen, Chon‐Haw Tsai, Yi-Hsin Weng, Hsiu‐Chen Chang, Tzu‐Chen Yen and Jin‐Chung Chen. Their work appears in journals such as Neurology, Scientific Reports and Journal of Neurology Neurosurgery & Psychiatry.

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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