Woonghee Lee

3.6k total citations · 1 hit paper
62 papers, 2.4k citations indexed

About

Woonghee Lee is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Woonghee Lee has authored 62 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 17 papers in Spectroscopy and 15 papers in Materials Chemistry. Recurrent topics in Woonghee Lee's work include Protein Structure and Dynamics (30 papers), Metabolomics and Mass Spectrometry Studies (15 papers) and Enzyme Structure and Function (13 papers). Woonghee Lee is often cited by papers focused on Protein Structure and Dynamics (30 papers), Metabolomics and Mass Spectrometry Studies (15 papers) and Enzyme Structure and Function (13 papers). Woonghee Lee collaborates with scholars based in United States, South Korea and India. Woonghee Lee's co-authors include John L. Markley, Marco Tonelli, William M. Westler, Mehdi Rahimi, Hamid R. Eghbalnia, Yeongjoon Lee, Arash Bahrami, Jaime L. Stark, Gabriel Cornilescu and Weontae Lee and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Woonghee Lee

58 papers receiving 2.4k citations

Hit Papers

NMRFAM-SPARKY: enhanced s... 2014 2026 2018 2022 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Woonghee Lee United States 18 1.9k 370 320 230 152 62 2.4k
Kenji Sugase Japan 19 1.6k 0.9× 514 1.4× 366 1.1× 234 1.0× 115 0.8× 72 2.1k
Patrick L. Wintrode United States 28 2.0k 1.1× 636 1.7× 355 1.1× 194 0.8× 184 1.2× 67 2.7k
Oliver Ohlenschläger Germany 29 1.4k 0.8× 323 0.9× 428 1.3× 145 0.6× 122 0.8× 102 2.1k
Anne Pajon United Kingdom 6 2.1k 1.1× 426 1.2× 262 0.8× 270 1.2× 248 1.6× 7 2.8k
Alex U. Singer Canada 18 2.2k 1.2× 505 1.4× 366 1.1× 358 1.6× 190 1.3× 28 3.0k
John Ionides United Kingdom 6 2.3k 1.2× 466 1.3× 292 0.9× 281 1.2× 239 1.6× 9 2.9k
Sean M. Cahill United States 24 1.7k 0.9× 281 0.8× 226 0.7× 430 1.9× 193 1.3× 65 2.4k
Anna Lobley United Kingdom 13 1.9k 1.0× 206 0.6× 496 1.6× 153 0.7× 163 1.1× 20 2.7k
Natalie K. Goto Canada 20 1.9k 1.0× 565 1.5× 432 1.4× 185 0.8× 105 0.7× 40 2.2k
Ulrich Weininger Germany 25 1.2k 0.7× 377 1.0× 270 0.8× 158 0.7× 194 1.3× 74 1.6k

Countries citing papers authored by Woonghee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Woonghee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Woonghee Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Woonghee Lee. A scholar is included among the top collaborators of Woonghee 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 Woonghee Lee. Woonghee 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
1.
Giraldo, A., Mehdi Rahimi, & Woonghee Lee. (2025). Automated Chemical Shift Assignments of MAS Solid-State NMR Spectra of Complex Protein Systems by ssPINE/ssPINE-POKY. Applied Sciences. 15(12). 6563–6563.
2.
Rahimi, Mehdi, et al.. (2024). A-SIMA/A-MAP: a comprehensive toolkit for NMR-based metabolomics analysis. Metabolomics. 21(1). 10–10.
3.
Seong, Honggyu, et al.. (2024). Redox‐active Co(II) and Zn(II) Pincer Complexes as High‐Capacity Anode Materials for Lithium‐Ion Batteries. Advanced Science. 12(9). e2413656–e2413656. 3 indexed citations
4.
Jin, Youngho, Honggyu Seong, Yoon Myung, et al.. (2024). Cubic Cu3SnS4@CNT for stable and high-temperature sodium-ion batteries: Simple colloidal synthesis and enhanced cycle performance. Chemical Engineering Journal. 503. 158461–158461. 2 indexed citations
5.
Lee, Woonghee, Gwonhwa Song, & Hyocheol Bae. (2024). Alpinumisoflavone ameliorates H2O2-induced intracellular damages through SIRT1 activation in pre-eclampsia cell models. Bioorganic Chemistry. 152. 107720–107720. 2 indexed citations
6.
Rahimi, Mehdi, et al.. (2023). REDEN: Interactive multi-fitting decomposition-based NMR peak picking assistant. Journal of Magnetic Resonance. 358. 107600–107600. 1 indexed citations
7.
8.
Kim, Jinwoo, et al.. (2022). NMR Structure and Biophysical Characterization of Thermophilic Single-Stranded DNA Binding Protein from Sulfolobus Solfataricus. International Journal of Molecular Sciences. 23(6). 3099–3099. 2 indexed citations
9.
Lee, Woonghee, Marco Tonelli, Yeongjoon Lee, et al.. (2022). Solution structure and dynamics of the mitochondrial‐targeted GTPase‐activating protein (GAP) VopE by an integrated NMR/SAXS approach. Protein Science. 31(5). e4282–e4282. 1 indexed citations
10.
Lee, Woonghee, et al.. (2021). At sixes and sevens: cryptic domain in the metal binding chain of the human copper transporter ATP7A. Biophysical Journal. 120(20). 4600–4607. 4 indexed citations
11.
12.
Lee, Woonghee, et al.. (2021). POKY: a software suite for multidimensional NMR and 3D structure calculation of biomolecules. Bioinformatics. 37(18). 3041–3042. 112 indexed citations
13.
Lee, Woonghee, Ronnie O. Frederick, Marco Tonelli, & Ann C. Palmenberg. (2021). Solution NMR Determination of the CDHR3 Rhinovirus-C Binding Domain, EC1. Viruses. 13(2). 159–159. 1 indexed citations
14.
Boulton, Stephen, Cristina Olivieri, Madoka Akimoto, et al.. (2020). CHESPA/CHESCA-SPARKY: automated NMR data analysis plugins for SPARKY to map protein allostery. Bioinformatics. 37(8). 1176–1177. 11 indexed citations
15.
Weber, Daniel K., Songlin Wang, John L. Markley, Gianluigi Veglia, & Woonghee Lee. (2020). PISA-SPARKY: an interactive SPARKY plugin to analyze oriented solid-state NMR spectra of helical membrane proteins. Bioinformatics. 36(9). 2915–2916. 8 indexed citations
16.
Sharma, Ruchika, Bartłomiej Tomiczek, Woonghee Lee, et al.. (2019). Structure and evolution of the 4-helix bundle domain of Zuotin, a J-domain protein co-chaperone of Hsp70. PLoS ONE. 14(5). e0217098–e0217098. 9 indexed citations
17.
Tonelli, Marco, Woonghee Lee, Ziqing Lin, et al.. (2019). Solution structure of human myeloid-derived growth factor suggests a conserved function in the endoplasmic reticulum. Nature Communications. 10(1). 5612–5612. 14 indexed citations
18.
Lee, Woonghee, et al.. (2017). Investigation of the effect of Lithospermi Radix on tight-junction related genes in HaCaT cells. The Korea Journal of Herbology. 32(3). 55–61.
19.
Lee, Woonghee, Jaime L. Stark, & John L. Markley. (2014). PONDEROSA-C/S: client–server based software package for automated protein 3D structure determination. Journal of Biomolecular NMR. 60(2-3). 73–75. 46 indexed citations
20.
Kwon, O‐Yu, Soo-Jung Park, Woonghee Lee, et al.. (2000). TSH regulates a gene expression encoding ERp29, an endoplasmic reticulum stress protein, in the thyrocytes of FRTL‐5 cells. FEBS Letters. 475(1). 27–30. 17 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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