Gui‐in Lee

727 total citations
10 papers, 600 citations indexed

About

Gui‐in Lee is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, Gui‐in Lee has authored 10 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Plant Science. Recurrent topics in Gui‐in Lee's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Signaling Pathways in Disease (2 papers) and Epigenetics and DNA Methylation (2 papers). Gui‐in Lee is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Signaling Pathways in Disease (2 papers) and Epigenetics and DNA Methylation (2 papers). Gui‐in Lee collaborates with scholars based in United States and Italy. Gui‐in Lee's co-authors include Steven R. Van Doren, Johanna M. Rodriguez, Andrew D. Hamilton, John C. Walker, Hang Yin, Gregory A. Payne, Hyung Soon Park, Saı̈d M. Sebti, Jia Li and Nathan T. Ross and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Journal of Molecular Biology.

In The Last Decade

Gui‐in Lee

10 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gui‐in Lee United States	9	469	202	102	54	49	10	600
Maciej Stawikowski United States	14	446 1.0×	112 0.6×	107 1.0×	22 0.4×	90 1.8×	31	663
Tatsuo Yagura Japan	16	492 1.0×	120 0.6×	140 1.4×	55 1.0×	70 1.4×	49	779
Zhenkun Na Singapore	16	865 1.8×	194 1.0×	114 1.1×	50 0.9×	77 1.6×	31	1.1k
John D. Bagert United States	13	960 2.0×	216 1.1×	135 1.3×	54 1.0×	57 1.2×	15	1.2k
Yingchun Lu China	18	542 1.2×	209 1.0×	68 0.7×	104 1.9×	36 0.7×	47	783
Minhao Wu China	14	548 1.2×	91 0.5×	78 0.8×	65 1.2×	49 1.0×	28	785
Rolf Nuck Germany	13	625 1.3×	296 1.5×	66 0.6×	36 0.7×	29 0.6×	30	783
Mark Ruppen United States	15	409 0.9×	188 0.9×	97 1.0×	36 0.7×	38 0.8×	20	666
Jennifer J. Ottesen United States	21	1.5k 3.1×	231 1.1×	143 1.4×	65 1.2×	41 0.8×	30	1.5k
Soonsil Hyun South Korea	21	733 1.6×	190 0.9×	59 0.6×	13 0.2×	78 1.6×	52	976

Countries citing papers authored by Gui‐in Lee

Since Specialization

Citations

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

Fields of papers citing papers by Gui‐in Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gui‐in Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Gui‐in Lee. A scholar is included among the top collaborators of Gui‐in 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 Gui‐in Lee. Gui‐in 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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10 of 10 papers shown

Rodriguez, Johanna M., Laura Nevola, Nathan T. Ross, Gui‐in Lee, & Andrew D. Hamilton. (2009). Synthetic Inhibitors of Extended Helix–Protein Interactions Based on a Biphenyl 4,4′‐Dicarboxamide Scaffold. ChemBioChem. 10(5). 829–833. 33 indexed citations

Slivka, Peter F., Gui‐in Lee, Deanne W. Sammond, et al.. (2009). A Peptide Antagonist of the TLR4–MD2 Interaction. ChemBioChem. 10(4). 645–649. 39 indexed citations

Rodriguez, Johanna M., et al.. (2009). Structure and Function of Benzoylurea‐Derived α‐Helix Mimetics Targeting the Bcl‐x_L/Bak Binding Interface. ChemMedChem. 4(4). 649–656. 40 indexed citations

Liang, Xiangyang, Gui‐in Lee, & Steven R. Van Doren. (2006). Partially Unfolded Forms and Non-two-state Folding of a β-Sandwich: FHA Domain from Arabidopsis Receptor Kinase-associated Protein Phosphatase. Journal of Molecular Biology. 364(2). 225–240. 6 indexed citations

Yin, Hang, Gui‐in Lee, Hyung Soon Park, et al.. (2005). Terphenyl‐Based Helical Mimetics That Disrupt the p53/HDM2 Interaction. Angewandte Chemie International Edition. 44(18). 2704–2707. 204 indexed citations

Ding, Zhaofeng, et al.. (2005). PhosphoThr Peptide Binding Globally Rigidifies Much of the FHA Domain from Arabidopsis Receptor Kinase-Associated Protein Phosphatase^,. Biochemistry. 44(30). 10119–10134. 17 indexed citations

Yin, Hang, Gui‐in Lee, Hyung Soon Park, et al.. (2005). Terphenyl‐Based Helical Mimetics That Disrupt the p53/HDM2 Interaction. Angewandte Chemie. 117(18). 2764–2767. 57 indexed citations

Lee, Gui‐in, Zhaofeng Ding, John C. Walker, & Steven R. Van Doren. (2003). NMR structure of the forkhead-associated domain from the Arabidopsis receptor kinase-associated protein phosphatase. Proceedings of the National Academy of Sciences. 100(20). 11261–11266. 31 indexed citations

Wu, Bin, Sengodagounder Arumugam, Guanghua Gao, et al.. (2000). NMR structure of tissue inhibitor of metalloproteinases-1 implicates localized induced fit in recognition of matrix metalloproteinases. Journal of Molecular Biology. 295(2). 257–268. 33 indexed citations

10.

Li, Jia, Gui‐in Lee, Steven R. Van Doren, & John C. Walker. (2000). The FHA domain mediates phosphoprotein interactions. Journal of Cell Science. 113(23). 4143–4149. 140 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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