Suewei Lin

2.2k total citations
27 papers, 1.3k citations indexed

About

Suewei Lin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Suewei Lin has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Suewei Lin's work include Neurobiology and Insect Physiology Research (24 papers), Plant Molecular Biology Research (7 papers) and Insect and Arachnid Ecology and Behavior (7 papers). Suewei Lin is often cited by papers focused on Neurobiology and Insect Physiology Research (24 papers), Plant Molecular Biology Research (7 papers) and Insect and Arachnid Ecology and Behavior (7 papers). Suewei Lin collaborates with scholars based in Taiwan, United States and United Kingdom. Suewei Lin's co-authors include Scott Waddell, Tzumin Lee, Wolf Huetteroth, Chang-Hui Tsao, Chih-Fei Kao, David Owald, Emmanuel Perisse, Ann‐Shyn Chiang, Takeshi Awasaki and Sijun Zhu and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Suewei Lin

25 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suewei Lin Taiwan 17 1.1k 453 370 311 220 27 1.3k
Marion Silies Germany 21 1.4k 1.3× 444 1.0× 674 1.8× 397 1.3× 194 0.9× 38 1.9k
Thomas Riemensperger Germany 19 1.3k 1.2× 544 1.2× 337 0.9× 349 1.1× 321 1.5× 26 1.6k
Haojiang Luan United States 14 1.0k 0.9× 365 0.8× 510 1.4× 269 0.9× 108 0.5× 18 1.3k
Hiroshi Ishimoto Japan 20 991 0.9× 361 0.8× 367 1.0× 298 1.0× 351 1.6× 28 1.3k
Alfredo Ghezzi United States 15 1.0k 0.9× 341 0.8× 321 0.9× 208 0.7× 197 0.9× 25 1.3k
Tanja A. Godenschwege United States 20 1.4k 1.3× 427 0.9× 756 2.0× 248 0.8× 168 0.8× 40 1.9k
Randall S. Hewes United States 18 1.1k 1.1× 338 0.7× 524 1.4× 214 0.7× 230 1.0× 24 1.4k
Keita Endo Japan 11 905 0.8× 306 0.7× 380 1.0× 187 0.6× 145 0.7× 18 1.2k
Quan Yuan United States 17 1.1k 1.0× 396 0.9× 334 0.9× 297 1.0× 216 1.0× 33 1.7k
Cory M. Root United States 11 1.5k 1.4× 544 1.2× 352 1.0× 355 1.1× 341 1.6× 19 1.8k

Countries citing papers authored by Suewei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Suewei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suewei Lin

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

All Works

20 of 20 papers shown
1.
Nawrot, Martin Paul, et al.. (2025). Functional dissection of a neuronal brain circuit mediating higher-order associative learning. Cell Reports. 44(5). 115593–115593.
2.
Chen, Wenjie, Yi‐Chu Liao, Yu‐Chun Lin, et al.. (2024). A missense mutation in human INSC causes peripheral neuropathy. EMBO Molecular Medicine. 16(5). 1091–1114.
3.
Tian, Xuejiao, Tzu‐Yang Lin, Po Ting Lin, et al.. (2024). Rapid lightsheet fluorescence imaging of whole Drosophila brains at nanoscale resolution by potassium acrylate-based expansion microscopy. Nature Communications. 15(1). 10911–10911. 4 indexed citations
4.
Lin, Suewei. (2023). The making of the Drosophila mushroom body. Frontiers in Physiology. 14. 1091248–1091248. 6 indexed citations
5.
Lin, Suewei, et al.. (2022). Imaging CaLexA and TRIC Signals in the Dissected Fly Central Nervous System. Cold Spring Harbor Protocols. 2023(1). pdb.prot108049–pdb.prot108049. 1 indexed citations
6.
Lin, Suewei, et al.. (2022). Transcriptional Genetically Encoded Calcium Indicators inDrosophila. Cold Spring Harbor Protocols. 2023(1). pdb.top107797–pdb.top107797. 3 indexed citations
7.
Chen, Wenjie, et al.. (2022). Semaphorin 1a-mediated dendritic wiring of the Drosophila mushroom body extrinsic neurons. Proceedings of the National Academy of Sciences. 119(12). e2111283119–e2111283119. 5 indexed citations
8.
Yang, Mengying, Honglei Wang, Changyan Chen, et al.. (2021). Glia-derived temporal signals orchestrate neurogenesis in the Drosophila mushroom body. Proceedings of the National Academy of Sciences. 118(23). 5 indexed citations
9.
Tsao, Chang-Hui, et al.. (2019). A neural mechanism for deprivation state-specific expression of relevant memories in Drosophila. Nature Neuroscience. 22(12). 2029–2039. 54 indexed citations
10.
Felsenberg, Johannes, Oliver Barnstedt, Paola Cognigni, Suewei Lin, & Scott Waddell. (2017). Re-evaluation of learned information in Drosophila. Nature. 544(7649). 240–244. 91 indexed citations
11.
Das, Gaurav, Suewei Lin, & Scott Waddell. (2016). Remembering Components of Food in Drosophila. Frontiers in Integrative Neuroscience. 10. 4–4. 23 indexed citations
12.
Huetteroth, Wolf, Emmanuel Perisse, Suewei Lin, et al.. (2015). Sweet Taste and Nutrient Value Subdivide Rewarding Dopaminergic Neurons in Drosophila. Current Biology. 25(6). 751–758. 158 indexed citations
13.
Lin, Suewei, David Owald, Vikram Chandra, et al.. (2014). Neural correlates of water reward in thirsty Drosophila. Nature Neuroscience. 17(11). 1536–1542. 158 indexed citations
14.
Lin, Suewei, Elizabeth C. Marin, Chih-Fei Kao, et al.. (2013). Extremes of Lineage Plasticity in the Drosophila Brain. Current Biology. 23(19). 1908–1913. 32 indexed citations
15.
Perisse, Emmanuel, et al.. (2013). Different Kenyon Cell Populations Drive Learned Approach and Avoidance in Drosophila. Neuron. 79(5). 945–956. 82 indexed citations
16.
Lin, Suewei, Chih-Fei Kao, Hung–Hsiang Yu, Ya‐Ling Huang, & Tzumin Lee. (2012). Lineage Analysis of Drosophila Lateral Antennal Lobe Neurons Reveals Notch-Dependent Binary Temporal Fate Decisions. PLoS Biology. 10(11). e1001425–e1001425. 53 indexed citations
17.
Lin, Suewei, Ya‐Ling Huang, & Tzumin Lee. (2009). Nuclear Receptor Unfulfilled Regulates Axonal Guidance and Cell Identity of Drosophila Mushroom Body Neurons. PLoS ONE. 4(12). e8392–e8392. 39 indexed citations
18.
Lin, Suewei, et al.. (2009). The Torso signaling pathway modulates a dual transcriptional switch to regulate tailless expression. Nucleic Acids Research. 37(4). 1061–1072. 14 indexed citations
19.
Shi, Lei, Suewei Lin, Yelena Y. Grinberg, et al.. (2007). Roles of Drosophila Kruppel‐homolog 1 in neuronal morphogenesis. Developmental Neurobiology. 67(12). 1614–1626. 36 indexed citations
20.
Zhu, Sijun, Suewei Lin, Chih-Fei Kao, et al.. (2006). Gradients of the Drosophila Chinmo BTB-Zinc Finger Protein Govern Neuronal Temporal Identity. Cell. 127(2). 409–422. 185 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.

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