Fang‐Yu Lin

32 total papers · 876 total citations
28 papers, 600 citations indexed

About

Fang‐Yu Lin is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry. According to data from OpenAlex, Fang‐Yu Lin has authored 28 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Atomic and Molecular Physics, and Optics and 5 papers in Physical and Theoretical Chemistry. Recurrent topics in Fang‐Yu Lin's work include Protein Structure and Dynamics (8 papers), Spectroscopy and Quantum Chemical Studies (8 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Fang‐Yu Lin is often cited by papers focused on Protein Structure and Dynamics (8 papers), Spectroscopy and Quantum Chemical Studies (8 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Fang‐Yu Lin collaborates with scholars based in Taiwan, United States and China. Fang‐Yu Lin's co-authors include Alexander D. MacKerell, Benoı̂t Roux, Hungwen Chen, Mei‐Leng Cheong, Ching‐Wen Chang, Poonam Pandey, Jing Li, Jing Huang, Pedro E. M. Lopes and Chetan Rupakheti and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Physical Chemistry B.

In The Last Decade

Fang‐Yu Lin

24 papers receiving 592 citations

Author Peers

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

Author						Papers	Cites
Fang‐Yu Lin	305	125	84	78	77	28	600
Nicholas Y. Palermo	405 1.3×	77 0.6×	28 0.3×	20 0.3×	33 0.4×	26	649
Brian Fuglestad	391 1.3×	43 0.3×	85 1.0×	50 0.6×	89 1.2×	28	534
Donna Bassolino‐Klimas	489 1.6×	181 1.4×	78 0.9×	27 0.3×	67 0.9×	12	623
Anna S. Kamenik	432 1.4×	50 0.4×	101 1.2×	87 1.1×	68 0.9×	36	667
László Torday	200 0.7×	36 0.3×	32 0.4×	37 0.5×	68 0.9×	48	519
Yuko Tsutsui	311 1.0×	83 0.7×	142 1.7×	9 0.1×	125 1.6×	32	687
Robert E. Duke	336 1.1×	162 1.3×	141 1.7×	54 0.7×	59 0.8×	17	590
Ryoichi Kataoka	426 1.4×	92 0.7×	50 0.6×	79 1.0×	46 0.6×	19	608
Kira A. Armacost	377 1.2×	96 0.8×	97 1.2×	129 1.7×	57 0.7×	16	599
Paulius Mikulskis	383 1.3×	79 0.6×	97 1.2×	184 2.4×	50 0.6×	15	520

Countries citing papers authored by Fang‐Yu Lin

Since Specialization

Citations

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

Fields of papers citing papers by Fang‐Yu Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang‐Yu Lin

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