Ji Young Lee

760 citations
22 papers · 499 indexed · h-index 11
Topics
Receptor Mechanisms and Signaling (7 papers)Protein Structure and Dynamics (6 papers)Neuroscience and Neuropharmacology Research (5 papers)

In The Last Decade

Ji Young Lee

22 papers receiving 496 citations

Peers

Ji Young Lee
Comparison fields: 5 of 77
  • Molecular Biology 375
  • Cellular and Molecular Neuroscience 113
  • Computational Theory and Mathematics 86
  • Materials Chemistry 43
  • Oncology 42
Replace Johanna K. S. Tiemann with:
Johanna K. S. Tiemann Germany
Matthew C. Childers United States
Maozi Chen United States
Timothy D. McKee United States
John Maclean United Kingdom
Stefan Gahbauer United States
Daniel Spinks United Kingdom
Beihong Ji United States
Gergely Tóth United Kingdom
Shanthi Nagarajan United States
Ji Young Lee relative to Johanna K. S. Tiemann Germany Johanna K. S. Tiemann's profile →
Citations per field
00.5×6.6×
Johanna K. S. Tiemann · 1×
Citations per year

Countries citing papers authored by Ji Young Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ji Young Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Young Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Young Lee. A scholar is included among the top collaborators of Ji Young 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 Ji Young Lee. Ji Young Lee 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
#WorkIndexed citations
1 1
2 1
3 6
4 5
5 1
6 1
7 16
8 21
9 53
10 39
11 8
12 20
13 17
14 10
15 1
16 31
17 64
18 50
19 1
20 5

About Ji Young Lee

Ji Young Lee is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Computational Theory and Mathematics, having authored 22 papers that have together received 499 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Protein Structure and Dynamics (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (113 citations), Molecular Biology (375 citations) and Computational Theory and Mathematics (86 citations). Ji Young Lee has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include İvet Bahar, Hongchun Li, James Krieger, Lee‐Wei Yang, Ingo H. Greger, Javier García‐Nafría, Anindita Dutta, Mary Hongying Cheng, She Zhang and Cihan Kaya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

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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