Yen‐Chu Lin

2.5k total citations · 1 hit paper
30 papers, 1.7k citations indexed

About

Yen‐Chu Lin is a scholar working on Molecular Biology, Cognitive Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Yen‐Chu Lin has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cognitive Neuroscience and 6 papers in Computational Theory and Mathematics. Recurrent topics in Yen‐Chu Lin's work include Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (6 papers) and Chemical Synthesis and Analysis (5 papers). Yen‐Chu Lin is often cited by papers focused on Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (6 papers) and Chemical Synthesis and Analysis (5 papers). Yen‐Chu Lin collaborates with scholars based in United States, Taiwan and Switzerland. Yen‐Chu Lin's co-authors include Zachary A. Knight, Yiming Chen, Christopher A Zimmerman, David E. Leib, Gwendolyn E. Daly, Chan Lek Tan, Rachel Essner, Alex Zhavoronkov, Erica L. Huey and Quentin Vanhaelen and has published in prestigious journals such as Nature, Cell and Angewandte Chemie International Edition.

In The Last Decade

Yen‐Chu Lin

28 papers receiving 1.6k citations

Hit Papers

Sensory Detection of Food Rapidly Modulates Arcuate Feedi... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yen‐Chu Lin United States 14 801 408 374 328 326 30 1.7k
Laura H. Jacobson Australia 29 383 0.5× 724 1.8× 776 2.1× 897 2.7× 789 2.4× 81 2.8k
Shuye Pu Canada 22 1.6k 1.9× 562 1.4× 476 1.3× 518 1.6× 1.1k 3.5× 51 3.2k
Wataru Inoue Japan 22 448 0.6× 339 0.8× 189 0.5× 325 1.0× 340 1.0× 85 1.9k
Matthew D. Troyer United States 19 302 0.4× 691 1.7× 643 1.7× 1.3k 3.9× 751 2.3× 34 2.9k
David Sunter United Kingdom 23 1.9k 2.3× 827 2.0× 740 2.0× 684 2.1× 426 1.3× 28 3.1k
Guillaume Hervieu United Kingdom 21 1.9k 2.3× 399 1.0× 1.0k 2.8× 823 2.5× 639 2.0× 31 3.0k
Martin Darvas United States 25 308 0.4× 331 0.8× 771 2.1× 1.1k 3.4× 747 2.3× 60 2.3k
Rui B. Chang United States 21 642 0.8× 978 2.4× 210 0.6× 749 2.3× 865 2.7× 37 3.2k
Wilhelmus Drinkenburg Belgium 37 299 0.4× 352 0.9× 2.0k 5.4× 1.8k 5.4× 794 2.4× 121 4.0k
Carrie R. Ferrario United States 28 571 0.7× 360 0.9× 481 1.3× 1.4k 4.3× 661 2.0× 58 2.4k

Countries citing papers authored by Yen‐Chu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yen‐Chu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yen‐Chu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yen‐Chu Lin. A scholar is included among the top collaborators of Yen‐Chu 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 Yen‐Chu Lin. Yen‐Chu 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.
Ravasco, João M. J. M., Yen‐Chu Lin, Vasco D. B. Bonifácio, et al.. (2025). Active learning assists chemical intuition identify a scalable conversion of chitin to 3-acetamido-5-acetylfuran. Green Chemistry. 27(6). 1740–1746.
2.
Li, Shih‐Cheng, et al.. (2025). Application of the digital annealer unit in optimizing chemical reaction conditions for enhanced production yields. Journal of Cheminformatics. 17(1). 105–105. 1 indexed citations
3.
Lin, Yen‐Chu, et al.. (2023). Cognitive influences on fixational eye movements. Current Biology. 33(8). 1606–1612.e4. 12 indexed citations
4.
Lin, Yen‐Chu, et al.. (2023). Quantum simulation of preferred tautomeric state prediction. npj Quantum Information. 9(1). 6 indexed citations
5.
Aliper, Alex, Dmitry S. Bezrukov, Yen‐Chu Lin, et al.. (2023). Quantum computing for near-term applications in generative chemistry and drug discovery. Drug Discovery Today. 28(8). 103675–103675. 46 indexed citations
6.
Yang, Ya-Chu, Yudong Cao, Alex Aliper, et al.. (2023). Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry. Journal of Chemical Information and Modeling. 63(11). 3307–3318. 39 indexed citations
7.
Lin, Yen‐Chu, Anil K. Pillai, Tobias Cornvik, et al.. (2022). Engineering an autonomous VH domain to modulate intracellular pathways and to interrogate the eIF4F complex. Nature Communications. 13(1). 4854–4854. 4 indexed citations
9.
Lin, Yen‐Chu, et al.. (2021). Cognitive influences on fixational eye movements during visual discrimination. Journal of Vision. 21(9). 1894–1894. 1 indexed citations
10.
Lin, Yen‐Chu, et al.. (2021). Combating small-molecule aggregation with machine learning. Cell Reports Physical Science. 2(9). 100573–100573. 12 indexed citations
11.
Chen, Yiming, Heeun Jang, Perry W.E. Spratt, et al.. (2020). Soma-Targeted Imaging of Neural Circuits by Ribosome Tethering. Neuron. 107(3). 454–469.e6. 48 indexed citations
12.
Leib, David E., Christopher A Zimmerman, Erica L. Huey, et al.. (2017). The Forebrain Thirst Circuit Drives Drinking through Negative Reinforcement. Neuron. 96(6). 1272–1281.e4. 86 indexed citations
13.
Hiss, Jan A., Petra Schneider, Yen‐Chu Lin, et al.. (2017). Rational Design of Membrane‐Pore‐Forming Peptides. Small. 13(40). 28 indexed citations
14.
Zimmerman, Christopher A, Yen‐Chu Lin, David E. Leib, et al.. (2016). Thirst neurons anticipate the homeostatic consequences of eating and drinking. Nature. 537(7622). 680–684. 201 indexed citations
15.
Tan, Chan Lek, David E. Leib, Yen‐Chu Lin, et al.. (2016). Warm-Sensitive Neurons that Control Body Temperature. Cell. 167(1). 47–59.e15. 265 indexed citations
16.
Chen, Yiming, et al.. (2015). Sensory Detection of Food Rapidly Modulates Arcuate Feeding Circuits. Cell. 160(5). 829–841. 483 indexed citations breakdown →
17.
Rodrigues, Tiago, et al.. (2015). Repurposing de novo designed entities reveals phosphodiesterase 3B and cathepsin L modulators. Chemical Communications. 51(35). 7478–7481. 10 indexed citations
18.
Rodrigues, Tiago, Takayuki Kudoh, Filip Roudnicky, et al.. (2013). Steering Target Selectivity and Potency by Fragment‐Based De Novo Drug Design. Angewandte Chemie International Edition. 52(38). 10006–10009. 19 indexed citations
19.
Lin, Yen‐Chu, et al.. (2013). Ba2+‐ and bupivacaine‐sensitive background K+ conductances mediate rapid EPSP attenuation in oligodendrocyte precursor cells. The Journal of Physiology. 591(19). 4843–4858. 10 indexed citations
20.
Lin, Yen‐Chu, et al.. (2010). Cell type-specific expression of acid-sensing ion channels in hippocampal interneurons. Neuroscience Research. 68. e448–e448. 4 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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