Hahn-Jun Lee

2.1k total citations · 2 hit papers
13 papers, 1.7k citations indexed

About

Hahn-Jun Lee is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Hahn-Jun Lee has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Hahn-Jun Lee's work include Calpain Protease Function and Regulation (6 papers), Peptidase Inhibition and Analysis (3 papers) and Alzheimer's disease research and treatments (3 papers). Hahn-Jun Lee is often cited by papers focused on Calpain Protease Function and Regulation (6 papers), Peptidase Inhibition and Analysis (3 papers) and Alzheimer's disease research and treatments (3 papers). Hahn-Jun Lee collaborates with scholars based in Japan, United States and Netherlands. Hahn-Jun Lee's co-authors include Takaomi C. Saido, Yoshie Takaki, Satoshi Tsubuki, Nobuhisa Iwata, Emi Hama, Keiro Shirotani, Bao Lu, Norma P. Gerard, Craig Gérard and Kaori Watanabe and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Hahn-Jun Lee

13 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Metabolic Regulation of Brain Aβ by Neprilysin

2001 772 citations Nobuhisa Iwata, Satoshi Tsubuki et al. Science profile →
Identification of the major Aβ1–42-degrading catabolic pathway in brain parenchyma: Suppression leads to biochemical and pathological deposition

2000 714 citations Nobuhisa Iwata, Satoshi Tsubuki et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hahn-Jun Lee Japan	10	1.2k	706	448	351	231	13	1.7k
Vicki Olm United States	8	1.2k 1.0×	704 1.0×	395 0.9×	291 0.8×	182 0.8×	8	1.7k
Emi Hama Japan	8	1.6k 1.3×	794 1.1×	568 1.3×	458 1.3×	310 1.3×	8	2.1k
Elizabeth Brigham United States	14	1.1k 0.9×	652 0.9×	240 0.5×	297 0.8×	351 1.5×	22	1.6k
Jenny Apelt Germany	20	1.1k 0.9×	654 0.9×	321 0.7×	315 0.9×	416 1.8×	28	2.0k
Raphaëlle Pardossi‐Piquard France	19	1.3k 1.0×	837 1.2×	348 0.8×	369 1.1×	104 0.5×	29	1.7k
Kaori Yasutake Japan	20	1.3k 1.1×	1.3k 1.8×	566 1.3×	366 1.0×	183 0.8×	28	2.3k
Celina Zerbinatti United States	17	976 0.8×	619 0.9×	393 0.9×	173 0.5×	158 0.7×	24	1.5k
Misaki Sekiguchi Japan	11	964 0.8×	531 0.8×	272 0.6×	262 0.7×	206 0.9×	19	1.4k
David Walker United States	20	940 0.8×	1.4k 1.9×	564 1.3×	185 0.5×	308 1.3×	24	2.5k
Xiangyou Hu United States	30	1.5k 1.2×	926 1.3×	789 1.8×	518 1.5×	333 1.4×	56	2.6k

Countries citing papers authored by Hahn-Jun Lee

Since Specialization

Citations

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

Fields of papers citing papers by Hahn-Jun Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hahn-Jun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hahn-Jun Lee. A scholar is included among the top collaborators of Hahn-Jun 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 Hahn-Jun Lee. Hahn-Jun Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Kim, Kyeongsoon, Hynda K. Kleinman, Hahn-Jun Lee, & Kalipada Pahan. (2017). Safety and potential efficacy of gemfibrozil as a supportive treatment for children with late infantile neuronal ceroid lipofuscinosis and other lipid storage disorders. Orphanet Journal of Rare Diseases. 12(1). 113–113. 20 indexed citations

Kim, Dae Won, et al.. (2006). Mechanical Loading Differentially Regulates Membrane‐Bound and Soluble RANKL Availability in MC3T3‐E1 Cells. Annals of the New York Academy of Sciences. 1068(1). 568–572. 8 indexed citations

Lee, Francis Young‐In, Dae Won Kim, Daewha Hong, et al.. (2005). μ-Calpain Regulates Receptor Activator of NF-κB Ligand (RANKL)-supported Osteoclastogenesis via NF-κB Activation in RAW 264.7 Cells. Journal of Biological Chemistry. 280(33). 29929–29936. 30 indexed citations

Tomioka, Masanori, Keiro Shirotani, Nobuhisa Iwata, et al.. (2002). In vivo role of caspases in excitotoxic neuronal death: generation and analysis of transgenic mice expressing baculoviral caspase inhibitor, p35, in postnatal neurons. Molecular Brain Research. 108(1-2). 18–32. 22 indexed citations

Shirotani, Keiro, Satoshi Tsubuki, Hahn-Jun Lee, Kei Maruyama, & Takaomi C. Saido. (2002). Generation of amyloid β peptide with pyroglutamate at position 3 in primary cortical neurons. Neuroscience Letters. 327(1). 25–28. 25 indexed citations

Hata, Shoji, Kazunori Nishi, Tomohiro Kawamoto, et al.. (2001). Both the Conserved and the Unique Gene Structure of Stomach-Specific Calpains Reveal Processes of Calpain Gene Evolution. Journal of Molecular Evolution. 53(3). 191–203. 16 indexed citations

Iwata, Nobuhisa, Satoshi Tsubuki, Yoshie Takaki, et al.. (2001). Metabolic Regulation of Brain Aβ by Neprilysin. Science. 292(5521). 1550–1552. 772 indexed citations breakdown →

Iwata, Nobuhisa, Satoshi Tsubuki, Yoshie Takaki, et al.. (2000). Identification of the major Aβ1–42-degrading catabolic pathway in brain parenchyma: Suppression leads to biochemical and pathological deposition. Nature Medicine. 6(2). 143–150. 714 indexed citations breakdown →

Lee, Hahn-Jun, Masanori Tomioka, Yoshie Takaki, Hajime Masumoto, & Takaomi C. Saido. (2000). Molecular cloning and expression of aminopeptidase A isoforms from rat hippocampus. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1493(1-2). 273–278. 23 indexed citations

10.

Lee, Hahn-Jun, Shigeo Tomioka, Kayoko Kinbara, et al.. (1999). Characterization of a Human Digestive Tract-Specific Calpain, nCL-4, Expressed in the Baculovirus System. Archives of Biochemistry and Biophysics. 362(1). 22–31. 35 indexed citations

11.

Lee, Hahn-Jun, et al.. (1998). Molecular Cloning and Characterization of a Novel Tissue-Specific Calpain Predominantly Expressed in the Digestive Tract. Biological Chemistry. 379(2). 175–184. 51 indexed citations

12.

Sorimachi, Hiroyuki, et al.. (1997). Molecular Cloning and Characterization of cDNAs for the μ-Type Large Subunit and the Small Subunit of Chicken Calpain. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 118(3). 539–547. 4 indexed citations

13.

Henskens, Yvonne, Wim van’t Hof, Enno C.I. Veerman, et al.. (1996). Short Communication. Biological Chemistry Hoppe-Seyler. 377(12). 847–864. 3 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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