Min-Yin Li

1.8k total citations · 2 hit papers
9 papers, 689 citations indexed

About

Min-Yin Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Min-Yin Li has authored 9 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Developmental Neuroscience. Recurrent topics in Min-Yin Li's work include Neuroscience and Neuropharmacology Research (3 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Min-Yin Li is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Min-Yin Li collaborates with scholars based in United States, China and Japan. Min-Yin Li's co-authors include Omer Revah, Sergiu P. Pașca, Yuki Miura, Fikri Birey, Mayuri Vijay Thete, Matthew H. Porteus, Jinyoung Park, Alyssa Puno, Kazuya Ikeda and Xiang Yu and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Min-Yin Li

9 papers receiving 686 citations

Hit Papers

Generation of human striatal organoids and cortico-striat... 2020 2026 2022 2024 2020 2024 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min-Yin Li United States 8 433 244 189 123 121 9 689
Young‐Jin Kang United States 10 458 1.1× 211 0.9× 141 0.7× 86 0.7× 186 1.5× 16 717
Bruna Paulsen Brazil 9 823 1.9× 207 0.8× 283 1.5× 81 0.7× 221 1.8× 15 1.1k
Michael W. Nestor United States 15 568 1.3× 287 1.2× 143 0.8× 130 1.1× 122 1.0× 31 843
Wuqiang Guan China 9 654 1.5× 362 1.5× 126 0.7× 100 0.8× 208 1.7× 14 937
George M. Gibbons United Kingdom 5 403 0.9× 188 0.8× 189 1.0× 65 0.5× 133 1.1× 8 653
Priya Srikanth United States 13 589 1.4× 218 0.9× 125 0.7× 37 0.3× 127 1.0× 16 866
Galina Schmunk United States 9 483 1.1× 115 0.5× 86 0.5× 156 1.3× 103 0.9× 11 734
Mark van den Hurk Australia 11 396 0.9× 248 1.0× 111 0.6× 47 0.4× 83 0.7× 11 602
Jens Tornøe United States 14 276 0.6× 227 0.9× 55 0.3× 53 0.4× 92 0.8× 17 854
Su‐Chun Zhang United States 10 407 0.9× 339 1.4× 111 0.6× 51 0.4× 310 2.6× 12 756

Countries citing papers authored by Min-Yin Li

Since Specialization
Citations

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

Fields of papers citing papers by Min-Yin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Yin Li. 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 Min-Yin Li. The network helps show where Min-Yin Li may publish in the future.

Co-authorship network of co-authors of Min-Yin Li

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

All Works

9 of 9 papers shown
1.
Chen, Xiaoyu, Fikri Birey, Min-Yin Li, et al.. (2024). Antisense oligonucleotide therapeutic approach for Timothy syndrome. Nature. 628(8009). 818–825. 56 indexed citations breakdown →
2.
Kim, Ji‐il, Yuki Miura, Min-Yin Li, et al.. (2024). Human assembloids reveal the consequences of CACNA1G gene variants in the thalamocortical pathway. Neuron. 112(24). 4048–4059.e7. 23 indexed citations
3.
Birey, Fikri, Min-Yin Li, Aaron Gordon, et al.. (2022). Dissecting the molecular basis of human interneuron migration in forebrain assembloids from Timothy syndrome. Cell stem cell. 29(2). 248–264.e7. 91 indexed citations
4.
Miura, Yuki, Min-Yin Li, Omer Revah, et al.. (2022). Engineering brain assembloids to interrogate human neural circuits. Nature Protocols. 17(1). 15–35. 109 indexed citations
5.
Miura, Yuki, Min-Yin Li, Fikri Birey, et al.. (2020). Generation of human striatal organoids and cortico-striatal assembloids from human pluripotent stem cells. Nature Biotechnology. 38(12). 1421–1430. 276 indexed citations breakdown →
6.
Li, Min-Yin, Guangying Li, Shu-Jing Li, et al.. (2020). Retinoid X Receptor α Regulates DHA-Dependent Spinogenesis and Functional Synapse Formation In Vivo. Cell Reports. 31(7). 107649–107649. 31 indexed citations
7.
Li, Min-Yin, Wanying Miao, Shunji He, et al.. (2017). A Critical Role of Presynaptic Cadherin/Catenin/p140Cap Complexes in Stabilizing Spines and Functional Synapses in the Neocortex. Neuron. 94(6). 1155–1172.e8. 33 indexed citations
8.
Xu, Ke, Bao-Wei GUO, Hongcheng Zhang, et al.. (2013). Effect of Ordered Transplanting and Optimized Broadcasting on Super High Yield and Photosynthetic Productivity and Exploration of Rice Super High Yield Model. ACTA AGRONOMICA SINICA. 39(9). 1652–1652. 2 indexed citations
9.
Peng, Yi‐Rong, et al.. (2010). Postsynaptic Spiking Homeostatically Induces Cell-Autonomous Regulation of Inhibitory Inputs via Retrograde Signaling. Journal of Neuroscience. 30(48). 16220–16231. 68 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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