Chun‐Fu Lin

76 total papers · 899 total citations
55 papers, 634 citations indexed

About

Chun‐Fu Lin is a scholar working on Neurology, Epidemiology and Surgery. According to data from OpenAlex, Chun‐Fu Lin has authored 55 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Neurology, 15 papers in Epidemiology and 10 papers in Surgery. Recurrent topics in Chun‐Fu Lin's work include Meningioma and schwannoma management (11 papers), Vascular Malformations Diagnosis and Treatment (8 papers) and Epilepsy research and treatment (8 papers). Chun‐Fu Lin is often cited by papers focused on Meningioma and schwannoma management (11 papers), Vascular Malformations Diagnosis and Treatment (8 papers) and Epilepsy research and treatment (8 papers). Chun‐Fu Lin collaborates with scholars based in Taiwan, United States and India. Chun‐Fu Lin's co-authors include Sanford P.C. Hsu, Yang‐Hsin Shih, Chih‐Wei Hsu, Cheng‐Chia Lee, Yau‐Huei Wei, Chun‐Ming Tsai, Lisheng Wang, Hsin‐Hung Chen, Min-Hsiung Chen and Hsiang‐Yu Yu and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Chun‐Fu Lin

51 papers receiving 624 citations

Author Peers

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

Author						Papers	Cites
Chun‐Fu Lin	208	136	80	80	75	55	634
Galal Elsayed	132 0.6×	93 0.7×	56 0.7×	105 1.3×	85 1.1×	39	559
H. vander Eecken	245 1.2×	150 1.1×	108 1.4×	84 1.1×	73 1.0×	57	752
Çağrı Mesut Temuçin	185 0.9×	86 0.6×	118 1.5×	39 0.5×	48 0.6×	65	589
Pietro Fiaschi	259 1.2×	84 0.6×	87 1.1×	62 0.8×	24 0.3×	63	661
Masahiro Mizobuchi	156 0.8×	194 1.4×	84 1.1×	90 1.1×	25 0.3×	57	738
Reza Sadjadi	194 0.9×	136 1.0×	130 1.6×	58 0.7×	88 1.2×	61	653
Sudhakar Vadivelu	166 0.8×	98 0.7×	129 1.6×	95 1.2×	98 1.3×	54	606
Thomas N. Witt	255 1.2×	195 1.4×	152 1.9×	156 1.9×	46 0.6×	29	778
Chang Yueh Ho	156 0.8×	67 0.5×	69 0.9×	110 1.4×	46 0.6×	47	781
Alexander Ksendzovsky	149 0.7×	119 0.9×	162 2.0×	81 1.0×	38 0.5×	40	650

Countries citing papers authored by Chun‐Fu Lin

Since Specialization

Citations

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

Fields of papers citing papers by Chun‐Fu Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Fu 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 Chun‐Fu Lin. The network helps show where Chun‐Fu Lin may publish in the future.

Co-authorship network of co-authors of Chun‐Fu Lin

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