Andrew C. Lin

2.7k total citations
32 papers, 1.9k citations indexed

About

Andrew C. Lin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Andrew C. Lin has authored 32 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Andrew C. Lin's work include Neurobiology and Insect Physiology Research (13 papers), Animal Behavior and Reproduction (9 papers) and Insect and Arachnid Ecology and Behavior (9 papers). Andrew C. Lin is often cited by papers focused on Neurobiology and Insect Physiology Research (13 papers), Animal Behavior and Reproduction (9 papers) and Insect and Arachnid Ecology and Behavior (9 papers). Andrew C. Lin collaborates with scholars based in United Kingdom, United States and Taiwan. Andrew C. Lin's co-authors include Christine E. Holt, Kin-Mei Leung, Rachel Allison, Nancy Standart, Gero Miesenböck, Wolf Huetteroth, Tzumin Lee, Alexei M. Bygrave, Alix de Calignon and Stephen F. Goodwin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Andrew C. Lin

32 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew C. Lin United Kingdom 21 980 834 381 371 236 32 1.9k
Tomoko Ohyama United States 23 1.2k 1.3× 1.0k 1.2× 510 1.3× 497 1.3× 193 0.8× 40 2.5k
Hung–Hsiang Yu United States 20 1.3k 1.3× 989 1.2× 484 1.3× 182 0.5× 101 0.4× 34 1.9k
Linda S. Ross United States 19 523 0.5× 974 1.2× 362 1.0× 150 0.4× 127 0.5× 33 1.9k
Esteban O. Mazzoni United States 29 884 0.9× 2.6k 3.1× 318 0.8× 460 1.2× 147 0.6× 58 3.4k
Bing Ye United States 22 1.2k 1.2× 1.3k 1.6× 871 2.3× 256 0.7× 87 0.4× 57 2.4k
Javier Morante Spain 15 836 0.9× 660 0.8× 175 0.5× 182 0.5× 191 0.8× 24 1.2k
Iris Salecker United Kingdom 21 1.5k 1.5× 1.3k 1.6× 371 1.0× 173 0.5× 86 0.4× 30 2.0k
Katsuo Furukubo-Tokunaga Japan 20 808 0.8× 1.6k 1.9× 215 0.6× 580 1.6× 132 0.6× 35 2.2k
Oren Schuldiner Israel 22 1.4k 1.4× 2.0k 2.3× 793 2.1× 277 0.7× 99 0.4× 38 3.7k
Frances Hannan United States 17 970 1.0× 751 0.9× 246 0.6× 307 0.8× 135 0.6× 21 1.8k

Countries citing papers authored by Andrew C. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Andrew C. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew C. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew C. Lin. A scholar is included among the top collaborators of Andrew C. 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 Andrew C. Lin. Andrew C. 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.
Scheunemann, Lisa, et al.. (2024). Mating proximity blinds threat perception. Nature. 634(8034). 635–643. 9 indexed citations
2.
Parnas, Moshe, et al.. (2024). Sensory encoding and memory in the mushroom body: signals, noise, and variability. Learning & Memory. 31(5). a053825–a053825. 3 indexed citations
3.
Vasilaki, Eleni, et al.. (2021). Compensatory variability in network parameters enhances memory performance in the Drosophila mushroom body. Proceedings of the National Academy of Sciences. 118(49). 6 indexed citations
4.
Apostolopoulou, Anthi A., et al.. (2020). Localized inhibition in the Drosophila mushroom body. eLife. 9. 26 indexed citations
5.
Lin, Andrew C., et al.. (2019). SpaRCe: Sparse reservoir computing. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1 indexed citations
6.
Lin, Andrew C., et al.. (2019). Neuronal mechanisms underlying innate and learned olfactory processing in Drosophila. Current Opinion in Insect Science. 36. 9–17. 32 indexed citations
7.
Pavlou, Hania J., Andrew C. Lin, Megan C. Neville, et al.. (2016). Neural circuitry coordinating male copulation. eLife. 5. 41 indexed citations
8.
Mochizuki, Hideki, Alexandru D.P. Papoiu, Leigh Nattkemper, et al.. (2015). Scratching Induces Overactivity in Motor-Related Regions and Reward System in Chronic Itch Patients. Journal of Investigative Dermatology. 135(11). 2814–2823. 52 indexed citations
9.
Rezával, Carolina, Tetsuya Nojima, Megan C. Neville, Andrew C. Lin, & Stephen F. Goodwin. (2014). Sexually Dimorphic Octopaminergic Neurons Modulate Female Postmating Behaviors in Drosophila. Current Biology. 24(7). 725–730. 115 indexed citations
10.
Perisse, Emmanuel, et al.. (2013). Different Kenyon Cell Populations Drive Learned Approach and Avoidance in Drosophila. Neuron. 79(5). 945–956. 82 indexed citations
11.
Parnas, Moshe, Andrew C. Lin, Wolf Huetteroth, & Gero Miesenböck. (2013). Odor Discrimination in Drosophila: From Neural Population Codes to Behavior. Neuron. 79(5). 932–944. 91 indexed citations
12.
Dang, Zhao, Andrew C. Lin, Phong Ho, et al.. (2011). Synthesis and proteasome inhibition of lithocholic acid derivatives. Bioorganic & Medicinal Chemistry Letters. 21(7). 1926–1928. 16 indexed citations
13.
Bardag‐Gorce, Fawzia, Joan Oliva, Andrew C. Lin, et al.. (2010). SAMe prevents the up regulation of toll-like receptor signaling in Mallory–Denk body forming hepatocytes. Experimental and Molecular Pathology. 88(3). 376–379. 25 indexed citations
14.
Lin, Andrew C., Chin Lik Tan, Chien‐Ling Lin, et al.. (2009). Cytoplasmic polyadenylation and cytoplasmic polyadenylation element-dependent mRNA regulation are involved in Xenopus retinal axon development. Neural Development. 4(1). 8–8. 28 indexed citations
15.
Merianda, Tanuja T., Andrew C. Lin, Deepika Vuppalanchi, et al.. (2008). A functional equivalent of endoplasmic reticulum and Golgi in axons for secretion of locally synthesized proteins. Molecular and Cellular Neuroscience. 40(2). 128–142. 147 indexed citations
16.
Lin, Andrew C. & Christine E. Holt. (2007). Local translation and directional steering in axons. The EMBO Journal. 26(16). 3729–3736. 146 indexed citations
17.
Krebber, Heike, et al.. (2001). The Conserved Npl4 Protein Complex Mediates Proteasome-dependent Membrane-bound Transcription Factor Activation. Molecular Biology of the Cell. 12(10). 3226–3241. 134 indexed citations
18.
Lin, Andrew C., Sheetal Patel, & Martin Latterich. (2001). Regulation of Organelle Membrane Fusion by Pkc1p. Traffic. 2(10). 698–704. 11 indexed citations
19.
Kutsunai, S.Y., Andrew C. Lin, Frank W. Percival, George G. Laties, & Rolf E. Christoffersen. (1993). Ripening-Related Polygalacturonase cDNA from Avocado. PLANT PHYSIOLOGY. 103(1). 289–290. 25 indexed citations
20.
Stalnaker, Richard L., et al.. (1987). Translational energy criteria and its correlation with head injury in the sub-human primate. 7 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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