Hsuan-Wen Lin

466 total citations
9 papers, 323 citations indexed

About

Hsuan-Wen Lin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hsuan-Wen Lin has authored 9 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hsuan-Wen Lin's work include Neurobiology and Insect Physiology Research (9 papers), Plant biochemistry and biosynthesis (3 papers) and Animal Behavior and Reproduction (2 papers). Hsuan-Wen Lin is often cited by papers focused on Neurobiology and Insect Physiology Research (9 papers), Plant biochemistry and biosynthesis (3 papers) and Animal Behavior and Reproduction (2 papers). Hsuan-Wen Lin collaborates with scholars based in Taiwan, United States and China. Hsuan-Wen Lin's co-authors include Ann‐Shyn Chiang, Tsai‐Feng Fu, Chun‐Chao Chen, Tim Tully, Chia‐Lin Wu, Pei-Tseng Lee, Jay Hirsh, Josh Dubnau, Yu‐Hsuan Chang and Tzumin Lee and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Hsuan-Wen Lin

9 papers receiving 319 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hsuan-Wen Lin Taiwan	6	270	108	82	74	55	9	323
Gerit Arne Linneweber Germany	11	246 0.9×	99 0.9×	111 1.4×	76 1.0×	42 0.8×	14	388
Jascha B. Pohl United States	7	266 1.0×	77 0.7×	103 1.3×	52 0.7×	55 1.0×	8	344
Holly LaFerriere United States	6	278 1.0×	127 1.2×	65 0.8×	110 1.5×	99 1.8×	8	350
Tamara Boto United States	13	307 1.1×	142 1.3×	72 0.9×	75 1.0×	95 1.7×	18	381
Shintaro Naganos Japan	7	223 0.8×	77 0.7×	72 0.9×	34 0.5×	52 0.9×	11	297
Anna Grygoruk United States	10	371 1.4×	119 1.1×	151 1.8×	63 0.9×	68 1.2×	11	456
Andreas Schoofs Germany	12	345 1.3×	138 1.3×	60 0.7×	83 1.1×	88 1.6×	17	418
Atefeh Pooryasin Germany	7	226 0.8×	92 0.9×	50 0.6×	63 0.9×	47 0.9×	8	271
Magali Iché-Torres France	8	209 0.8×	99 0.9×	130 1.6×	62 0.8×	63 1.1×	8	379
Ayako Abe Japan	5	268 1.0×	118 1.1×	47 0.6×	69 0.9×	76 1.4×	7	301

Countries citing papers authored by Hsuan-Wen Lin

Since Specialization

Citations

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

Fields of papers citing papers by Hsuan-Wen Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsuan-Wen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hsuan-Wen Lin. A scholar is included among the top collaborators of Hsuan-Wen 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 Hsuan-Wen Lin. Hsuan-Wen Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Chen, Chun‐Chao, et al.. (2023). A subset of cholinergic mushroom body neurons blocks long-term memory formation in Drosophila. Cell Reports. 42(8). 112974–112974. 1 indexed citations

Lin, Hsuan-Wen, Chun‐Chao Chen, Linyi Chen, et al.. (2022). CREBB repression of protein synthesis in mushroom body gates long-term memory formation in Drosophila. Proceedings of the National Academy of Sciences. 119(50). e2211308119–e2211308119. 1 indexed citations

Chen, Chun‐Chao, Hsuan-Wen Lin, J. Steven de Belle, et al.. (2021). Neuropeptide F inhibits dopamine neuron interference of long-term memory consolidation in Drosophila. iScience. 24(12). 103506–103506. 7 indexed citations

Lin, Hsuan-Wen, Chun‐Chao Chen, J. Steven de Belle, Tim Tully, & Ann‐Shyn Chiang. (2021). CREBA and CREBB in two identified neurons gate long-term memory formation in Drosophila. Proceedings of the National Academy of Sciences. 118(37). 17 indexed citations

Lin, Hsuan-Wen, et al.. (2015). Automatedin situbrain imaging for mapping theDrosophilaconnectome. Journal of Neurogenetics. 29(4). 157–168. 9 indexed citations

Chen, Chun‐Chao, Hsuan-Wen Lin, Tsai‐Feng Fu, et al.. (2012). Visualizing Long-Term Memory Formation in Two Neurons of the Drosophila Brain. Science. 335(6069). 678–685. 123 indexed citations

Zhou, Chuan, Hai Huang, Susy M. Kim, et al.. (2012). Molecular Genetic Analysis of Sexual Rejection: Roles of Octopamine and Its Receptor OAMB inDrosophilaCourtship Conditioning. Journal of Neuroscience. 32(41). 14281–14287. 61 indexed citations

Lee, Pei-Tseng, Hsuan-Wen Lin, Yu‐Hsuan Chang, et al.. (2011). Serotonin–mushroom body circuit modulating the formation of anesthesia-resistant memory in Drosophila. Proceedings of the National Academy of Sciences. 108(33). 13794–13799. 103 indexed citations

Shih, C. T., Hsuan-Wen Lin, & Ann‐Shyn Chiang. (2010). Statistical analysis and modeling of the temperature-dependent sleep behavior of drosophila. Computer Physics Communications. 182(1). 195–197. 1 indexed citations

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.

Explore authors with similar magnitude of impact