Hakjoo Lee

2.6k total citations
38 papers, 2.1k citations indexed

About

Hakjoo Lee is a scholar working on Molecular Biology, Clinical Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hakjoo Lee has authored 38 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Clinical Biochemistry and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hakjoo Lee's work include Mitochondrial Function and Pathology (17 papers), Metabolism and Genetic Disorders (12 papers) and ATP Synthase and ATPases Research (10 papers). Hakjoo Lee is often cited by papers focused on Mitochondrial Function and Pathology (17 papers), Metabolism and Genetic Disorders (12 papers) and ATP Synthase and ATPases Research (10 papers). Hakjoo Lee collaborates with scholars based in United States, Japan and South Korea. Hakjoo Lee's co-authors include Yisang Yoon, Chad A. Galloway, Roman J. Giger, Sylvia B. Smith, Karthik Venkatesh, Nita J. Maihle, Peter Shrager, Christoph Rader, Jun‐ichi Abe and Kyung‐Sun Heo and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

In The Last Decade

Hakjoo Lee

38 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hakjoo Lee United States 28 1.3k 520 315 258 246 38 2.1k
Margrit Hollborn Germany 30 1.6k 1.2× 524 1.0× 113 0.4× 63 0.2× 256 1.0× 72 2.8k
Hsiang–Po Huang Taiwan 29 1.8k 1.4× 243 0.5× 96 0.3× 341 1.3× 195 0.8× 63 3.5k
Pei‐Hsin Huang Taiwan 24 893 0.7× 376 0.7× 107 0.3× 172 0.7× 438 1.8× 54 1.9k
Cecylia Zaloga United States 9 874 0.6× 472 0.9× 235 0.7× 197 0.8× 351 1.4× 9 1.9k
Dara Ditsworth United States 19 2.0k 1.5× 245 0.5× 109 0.3× 258 1.0× 242 1.0× 21 3.2k
Antonio Feliciello Italy 37 2.4k 1.8× 508 1.0× 56 0.2× 186 0.7× 351 1.4× 67 3.5k
Leonard Feiner United States 24 1.6k 1.2× 1.1k 2.0× 169 0.5× 227 0.9× 352 1.4× 33 5.3k
Sandrine Da Cruz United States 26 3.1k 2.3× 510 1.0× 76 0.2× 336 1.3× 568 2.3× 36 4.4k
Margitta Elvers Germany 27 689 0.5× 135 0.3× 118 0.4× 138 0.5× 337 1.4× 67 2.4k
Avelina Tortosa Spain 27 1.3k 0.9× 349 0.7× 149 0.5× 300 1.2× 243 1.0× 50 2.4k

Countries citing papers authored by Hakjoo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hakjoo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakjoo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hakjoo Lee. A scholar is included among the top collaborators of Hakjoo 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 Hakjoo Lee. Hakjoo 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.
Lee, Changhyeong, et al.. (2023). Ultra-Wideband Electromagnetic Composite Absorber Based on Pixelated Metasurface with Optimization Algorithm. Materials. 16(17). 5916–5916. 6 indexed citations
2.
Yoon, Yisang, et al.. (2022). Non-conventional mitochondrial permeability transition: Its regulation by mitochondrial dynamics. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1864(1). 148914–148914. 6 indexed citations
3.
Zhou, Hongyi, Cheng Xu, Hakjoo Lee, Yisang Yoon, & Weiqin Chen. (2020). Berardinelli–Seip congenital lipodystrophy 2/SEIPIN determines brown adipose tissue maintenance and thermogenic programing. Molecular Metabolism. 36. 100971–100971. 13 indexed citations
4.
Lee, Hakjoo, Sylvia B. Smith, Shey‐Shing Sheu, & Yisang Yoon. (2020). The short variant of optic atrophy 1 (OPA1) improves cell survival under oxidative stress. Journal of Biological Chemistry. 295(19). 6543–6560. 50 indexed citations
5.
Lee, Hakjoo, Sylvia B. Smith, & Yisang Yoon. (2017). The short variant of the mitochondrial dynamin OPA1 maintains mitochondrial energetics and cristae structure. Journal of Biological Chemistry. 292(17). 7115–7130. 149 indexed citations
6.
Lee, Hakjoo & Yisang Yoon. (2014). Transient Contraction of Mitochondria Induces Depolarization through the Inner Membrane Dynamin OPA1 Protein. Journal of Biological Chemistry. 289(17). 11862–11872. 41 indexed citations
7.
Yu, Tianzheng, Li Wang, Hakjoo Lee, et al.. (2014). Decreasing Mitochondrial Fission Prevents Cholestatic Liver Injury. Journal of Biological Chemistry. 289(49). 34074–34088. 34 indexed citations
8.
Lee, Hakjoo & Yisang Yoon. (2014). Mitochondrial Fission: Regulation and ER Connection. Molecules and Cells. 37(2). 89–94. 41 indexed citations
9.
Lee, Hakjoo, Bong Sook Jhun, & Yisang Yoon. (2013). Role of Mitochondrial Morphology in Bioenergetics. Biophysical Journal. 104(2). 302a–302a. 1 indexed citations
10.
Galloway, Chad A., Hakjoo Lee, Bong Sook Jhun, et al.. (2012). Transgenic Control of Mitochondrial Fission Induces Mitochondrial Uncoupling and Relieves Diabetic Oxidative Stress. Diabetes. 61(8). 2093–2104. 72 indexed citations
11.
Galloway, Chad A., Hakjoo Lee, & Yisang Yoon. (2012). Mitochondrial morphology—emerging role in bioenergetics. Free Radical Biology and Medicine. 53(12). 2218–2228. 119 indexed citations
12.
Le, Nhat‐Tu, Yuichiro Takei, Tetsuro Shishido, et al.. (2012). p90RSK Targets the ERK5-CHIP Ubiquitin E3 Ligase Activity in Diabetic Hearts and Promotes Cardiac Apoptosis and Dysfunction. Circulation Research. 110(4). 536–550. 46 indexed citations
14.
Lee, Hakjoo, et al.. (2010). Oligodendrocyte-Myelin Glycoprotein and Nogo Negatively Regulate Activity-Dependent Synaptic Plasticity. Journal of Neuroscience. 30(37). 12432–12445. 118 indexed citations
15.
Giger, Roman J., Karthik Venkatesh, Onanong Chivatakarn, et al.. (2008). Mechanisms of CNS myelin inhibition: Evidence for distinct and neuronal cell type specific receptor systems. Restorative Neurology and Neuroscience. 26(2-3). 97–115. 61 indexed citations
16.
Lee, Hakjoo, Karthik Venkatesh, Rebecca Geary, et al.. (2008). Synaptic Function for the Nogo-66 Receptor NgR1: Regulation of Dendritic Spine Morphology and Activity-Dependent Synaptic Strength. Journal of Neuroscience. 28(11). 2753–2765. 144 indexed citations
17.
Höfer, Thomas, Michael G. Kennedy, Rose G. Mage, et al.. (2006). Chimeric rabbit/human Fab and IgG specific for members of the Nogo-66 receptor family selected for species cross-reactivity with an improved phage display vector. Journal of Immunological Methods. 318(1-2). 75–87. 33 indexed citations
18.
Venkatesh, Karthik, Onanong Chivatakarn, Hakjoo Lee, et al.. (2005). The Nogo-66 Receptor Homolog NgR2 Is a Sialic Acid-Dependent Receptor Selective for Myelin-Associated Glycoprotein. Journal of Neuroscience. 25(4). 808–822. 178 indexed citations
19.
Lee, Hakjoo, et al.. (2001). A naturally occurring secreted human ErbB3 receptor isoform inhibits heregulin-stimulated activation of ErbB2, ErbB3, and ErbB4.. PubMed. 61(11). 4467–73. 72 indexed citations
20.

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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