Kon-Ping Lin

22 total papers · 3.4k total citations
16 papers, 385 citations indexed

About

Kon-Ping Lin is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Kon-Ping Lin has authored 16 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Kon-Ping Lin's work include Hereditary Neurological Disorders (5 papers), Genetic Neurodegenerative Diseases (4 papers) and Pain Mechanisms and Treatments (2 papers). Kon-Ping Lin is often cited by papers focused on Hereditary Neurological Disorders (5 papers), Genetic Neurodegenerative Diseases (4 papers) and Pain Mechanisms and Treatments (2 papers). Kon-Ping Lin collaborates with scholars based in Taiwan, United States and India. Kon-Ping Lin's co-authors include Yi‐Chung Lee, Bing‐Wen Soong, Pei‐Chien Tsai, Shuu‐Jiun Wang, Yi‐Chu Liao, Ta‐Chung Chao, Wei-Shu Wang, Po‐Min Chen, Tzeon-Jye Chiou and Chueh‐Chuan Yen and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Kon-Ping Lin

16 papers receiving 375 citations

Author Peers

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

Author Last Decade Papers Cites
Kon-Ping Lin 113 102 89 70 68 16 385
Marceil D. Blexrud 145 1.3× 154 1.5× 87 1.0× 23 0.3× 68 1.0× 11 408
Elena Giusto 73 0.6× 94 0.9× 201 2.3× 102 1.5× 13 0.2× 16 436
Yoshiharu Akitake 45 0.4× 52 0.5× 83 0.9× 59 0.8× 22 0.3× 16 420
Maria R. Jones 41 0.4× 59 0.6× 74 0.8× 54 0.8× 50 0.7× 15 363
Susana Alvarez 100 0.9× 166 1.6× 105 1.2× 49 0.7× 15 0.2× 21 416
Antonio Guerrero 241 2.1× 107 1.0× 92 1.0× 15 0.2× 30 0.4× 19 434
Daniel Ye 21 0.2× 67 0.7× 210 2.4× 53 0.8× 44 0.6× 14 430
Fuxing Zuo 61 0.5× 86 0.8× 132 1.5× 36 0.5× 16 0.2× 16 362
Lawrence Van Helleputte 95 0.8× 147 1.4× 245 2.8× 43 0.6× 72 1.1× 12 429
Ilaria Cervellini 47 0.4× 120 1.2× 130 1.5× 42 0.6× 87 1.3× 14 424

Countries citing papers authored by Kon-Ping Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kon-Ping Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kon-Ping Lin. 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 Kon-Ping Lin. The network helps show where Kon-Ping Lin may publish in the future.

Co-authorship network of co-authors of Kon-Ping Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Kon-Ping Lin. A scholar is included among the top collaborators of Kon-Ping Lin 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 Kon-Ping Lin. Kon-Ping Lin 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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