Chin-Song Lu

48 total papers · 2.1k total citations
38 papers, 1.4k citations indexed

About

Chin-Song Lu is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Chin-Song Lu has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 14 papers in Cellular and Molecular Neuroscience and 10 papers in Molecular Biology. Recurrent topics in Chin-Song Lu's work include Parkinson's Disease Mechanisms and Treatments (19 papers), Neurological diseases and metabolism (9 papers) and Genetic Neurodegenerative Diseases (5 papers). Chin-Song Lu is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (19 papers), Neurological diseases and metabolism (9 papers) and Genetic Neurodegenerative Diseases (5 papers). Chin-Song Lu collaborates with scholars based in Taiwan, United States and Netherlands. Chin-Song Lu's co-authors include Yi‐Hsin Weng, Tu‐Hsueh Yeh, N.-S. Chu, D. B. Calne, Rou-Shayn Chen, Hung‐Li Wang, Yah‐Huei Wu‐Chou, Hsiu‐Chen Chang, Chin‐Chang Huang and Szu‐Chia Lai and has published in prestigious journals such as PLoS ONE, Neurology and Annals of Neurology.

In The Last Decade

Chin-Song Lu

38 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chin-Song Lu 786 395 392 323 235 38 1.4k
David Nicholl 926 1.2× 439 1.1× 625 1.6× 345 1.1× 284 1.2× 45 1.7k
Hsin Fen Chien 853 1.1× 241 0.6× 308 0.8× 273 0.8× 234 1.0× 40 1.3k
Ingolf Lachmann 431 0.5× 241 0.6× 148 0.4× 188 0.6× 321 1.4× 47 1.1k
Amber Burt 320 0.4× 537 1.4× 179 0.5× 121 0.4× 138 0.6× 57 1.6k
Tomoko Oeda 1.2k 1.6× 325 0.8× 370 0.9× 227 0.7× 259 1.1× 56 1.8k
Jeffrey M. Stajich 683 0.9× 657 1.7× 708 1.8× 296 0.9× 169 0.7× 41 1.7k
Maria Morello 222 0.3× 405 1.0× 525 1.3× 111 0.3× 353 1.5× 57 1.8k
Zhifeng Qi 325 0.4× 412 1.0× 136 0.3× 485 1.5× 198 0.8× 49 1.4k
Caroline M. Tanner 1.2k 1.6× 209 0.5× 644 1.6× 259 0.8× 195 0.8× 32 1.6k
Kohji Matsushita 330 0.4× 604 1.5× 396 1.0× 484 1.5× 176 0.7× 25 1.7k

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

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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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