Nayeon Lee

33 total papers · 1.7k total citations
18 papers, 664 citations indexed

About

Nayeon Lee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Nayeon Lee has authored 18 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 3 papers in Developmental Neuroscience. Recurrent topics in Nayeon Lee's work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (6 papers) and Genetic Neurodegenerative Diseases (5 papers). Nayeon Lee is often cited by papers focused on Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (6 papers) and Genetic Neurodegenerative Diseases (5 papers). Nayeon Lee collaborates with scholars based in South Korea, United States and Sweden. Nayeon Lee's co-authors include Iksoo Jeon, Jihwan Song, Seung-Hun Oh, Hyun Sook Kim, Manho Kim, Chunggab Choi, Pierre Leblanc, Young Cha, Bin Song and Kwang‐Soo Kim and has published in prestigious journals such as Nature, Scientific Reports and Nature Protocols.

In The Last Decade

Nayeon Lee

18 papers receiving 658 citations

Author Peers

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

Author Last Decade Papers Cites
Nayeon Lee 487 312 113 95 84 18 664
Raquel Martín‐Ibáñez 483 1.0× 392 1.3× 107 0.9× 125 1.3× 55 0.7× 18 789
Seung-Hun Oh 468 1.0× 274 0.9× 149 1.3× 111 1.2× 69 0.8× 19 758
Diego J. Rodriguez‐Gil 258 0.5× 263 0.8× 139 1.2× 81 0.9× 53 0.6× 18 785
Marco Onorati 521 1.1× 292 0.9× 189 1.7× 67 0.7× 42 0.5× 29 722
Johannes Jungverdorben 508 1.0× 235 0.8× 54 0.5× 61 0.6× 44 0.5× 18 635
Patrick Lüningschrör 365 0.7× 232 0.7× 102 0.9× 138 1.5× 79 0.9× 25 745
Sayuki Takara 528 1.1× 312 1.0× 112 1.0× 116 1.2× 92 1.1× 8 698
Dusan Matusica 308 0.6× 378 1.2× 100 0.9× 89 0.9× 194 2.3× 27 724
Florentia Papastefanaki 301 0.6× 399 1.3× 228 2.0× 74 0.8× 38 0.5× 19 775
Deirdre B. Hoban 300 0.6× 283 0.9× 101 0.9× 129 1.4× 77 0.9× 15 600

Countries citing papers authored by Nayeon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Nayeon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nayeon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Nayeon Lee. A scholar is included among the top collaborators of Nayeon 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 Nayeon Lee. Nayeon 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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