Ming-Chia Lee

9 total papers · 915 total citations
9 papers, 726 citations indexed

About

Ming-Chia Lee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Ming-Chia Lee has authored 9 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Plant Science. Recurrent topics in Ming-Chia Lee's work include Neuroscience and Neuropharmacology Research (3 papers), Plant Molecular Biology Research (3 papers) and Epigenetics and DNA Methylation (2 papers). Ming-Chia Lee is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Plant Molecular Biology Research (3 papers) and Epigenetics and DNA Methylation (2 papers). Ming-Chia Lee collaborates with scholars based in United States, Taiwan and Bulgaria. Ming-Chia Lee's co-authors include Michael Ehlers, Ryohei Yasuda, Daniel Choquet, Martin Heine, Laurent Groc, Yi‐Chun Wu, Thomas D. Helton, Takeshi Otsuka, Allan C. Spradling and Ding Xue and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Ming-Chia Lee

9 papers receiving 716 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming-Chia Lee 419 382 127 105 99 9 726
Andrew W. Custer 325 0.8× 414 1.1× 92 0.7× 197 1.9× 45 0.5× 9 850
Hui-Fu Guo 400 1.0× 243 0.6× 116 0.9× 137 1.3× 45 0.5× 12 801
Nara I. Muraro 448 1.1× 274 0.7× 47 0.4× 51 0.5× 71 0.7× 19 780
Rui T. Peixoto 495 1.2× 432 1.1× 243 1.9× 147 1.4× 51 0.5× 14 910
Cecilia Jiang 334 0.8× 298 0.8× 168 1.3× 43 0.4× 22 0.2× 9 855
Stefanie Schirmeier 377 0.9× 336 0.9× 22 0.2× 91 0.9× 113 1.1× 18 792
Jennifer Spaethling 317 0.8× 463 1.2× 63 0.5× 45 0.4× 68 0.7× 12 842
Tuhina Prasad 411 1.0× 462 1.2× 85 0.7× 207 2.0× 45 0.5× 19 821
Kalen Berry 375 0.9× 315 0.8× 185 1.5× 75 0.7× 22 0.2× 20 783
Jason Chan 272 0.6× 341 0.9× 53 0.4× 114 1.1× 20 0.2× 20 743

Countries citing papers authored by Ming-Chia Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Chia Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Chia Lee. 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 Ming-Chia Lee. The network helps show where Ming-Chia Lee may publish in the future.

Co-authorship network of co-authors of Ming-Chia Lee

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

All Works

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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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