Han S. Lee

2.0k total citations
32 papers, 1.5k citations indexed

About

Han S. Lee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Han S. Lee has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Genetics. Recurrent topics in Han S. Lee's work include Estrogen and related hormone effects (5 papers), Glioma Diagnosis and Treatment (4 papers) and RNA and protein synthesis mechanisms (3 papers). Han S. Lee is often cited by papers focused on Estrogen and related hormone effects (5 papers), Glioma Diagnosis and Treatment (4 papers) and RNA and protein synthesis mechanisms (3 papers). Han S. Lee collaborates with scholars based in United States, Canada and South Korea. Han S. Lee's co-authors include John H. White, Michael N. Lehman, S. Andrew Josephson, Jonathan Aumais, Nahum Sonenberg, Marta Margeta, Brianne H. Daniels, Emily Ho, Wade S. Smith and Rae Silver and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Neuroscience.

In The Last Decade

Han S. Lee

32 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han S. Lee United States 22 716 320 288 214 207 32 1.5k
Sheena Lee United Kingdom 20 1.4k 1.9× 217 0.7× 369 1.3× 128 0.6× 89 0.4× 27 2.0k
Tiemo J. Klisch United States 21 1.1k 1.5× 128 0.4× 185 0.6× 757 3.5× 142 0.7× 35 2.2k
Virginia Barone Italy 24 1.3k 1.8× 377 1.2× 425 1.5× 136 0.6× 109 0.5× 49 2.5k
Derviş A. Salih United Kingdom 18 1.3k 1.9× 218 0.7× 172 0.6× 142 0.7× 51 0.2× 29 2.2k
Elio Messi Italy 23 723 1.0× 281 0.9× 148 0.5× 371 1.7× 126 0.6× 45 1.7k
J Flament-Durand Belgium 27 763 1.1× 516 1.6× 161 0.6× 210 1.0× 103 0.5× 122 2.4k
Kevin A. Kelley United States 28 1.2k 1.6× 381 1.2× 348 1.2× 118 0.6× 158 0.8× 50 2.3k
Carl E.G. Bruder Sweden 19 2.2k 3.1× 244 0.8× 526 1.8× 389 1.8× 79 0.4× 33 3.2k
Saida Ortolano Spain 22 824 1.2× 178 0.6× 135 0.5× 157 0.7× 94 0.5× 41 1.8k
Erich F. Greiner Germany 17 1.2k 1.6× 230 0.7× 428 1.5× 80 0.4× 181 0.9× 22 2.3k

Countries citing papers authored by Han S. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Han S. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han S. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Han S. Lee. A scholar is included among the top collaborators of Han S. 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 Han S. Lee. Han S. 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, Han S., et al.. (2025). Ocular Manifestations of Giant Cell Arteritis. PubMed. 10(1). 297–311. 1 indexed citations
2.
Imber, Brandon S., Han S. Lee, Sandeep Kunwar, Lewis S. Blevins, & Manish K. Aghi. (2014). Hypophysitis: a single-center case series. Pituitary. 18(5). 630–641. 56 indexed citations
3.
Lee, Han S. & Tarık Tihan. (2014). The Basics of Intraoperative Diagnosis in Neuropathology. Surgical pathology clinics. 8(1). 27–47. 14 indexed citations
4.
Hiniker, Annie, Brianne H. Daniels, Han S. Lee, & Marta Margeta. (2013). Comparative utility of LC3, p62 and TDP-43 immunohistochemistry in differentiation of inclusion body myositis from polymyositis and related inflammatory myopathies. Acta Neuropathologica Communications. 1(1). 29–29. 62 indexed citations
5.
Daniels, Brianne H., Rodney D. McComb, Bret C. Mobley, et al.. (2013). LC3 and p62 as Diagnostic Markers of Drug-induced Autophagic Vacuolar Cardiomyopathy. The American Journal of Surgical Pathology. 37(7). 1014–1021. 17 indexed citations
6.
Hiniker, Annie, et al.. (2013). Cortical ependymoma with unusual histologic features. Clinical Neuropathology. 32(7). 318–323. 8 indexed citations
7.
Lee, Han S., Brianne H. Daniels, Eduardo Salas, et al.. (2012). Clinical Utility of LC3 and p62 Immunohistochemistry in Diagnosis of Drug-Induced Autophagic Vacuolar Myopathies: A Case-Control Study. PLoS ONE. 7(4). e36221–e36221. 60 indexed citations
8.
Tidyman, William E., Han S. Lee, & Katherine A. Rauen. (2011). Skeletal muscle pathology in Costello and cardio‐facio‐cutaneous syndromes: Developmental consequences of germline Ras/MAPK activation on myogenesis. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 157(2). 104–114. 28 indexed citations
9.
Ho, Emily, S. Andrew Josephson, Han S. Lee, & Wade S. Smith. (2009). Cerebrovascular Complications of Methamphetamine Abuse. Neurocritical Care. 10(3). 295–305. 104 indexed citations
10.
Lee, Han S., et al.. (2009). Adult nemaline myopathy with trabecular muscle fibers. Muscle & Nerve. 39(6). 871–875. 13 indexed citations
11.
Dominguez, Juan M., et al.. (2007). Mating activates NMDA receptors in the medial preoptic area of male rats.. Behavioral Neuroscience. 121(5). 1023–1031. 34 indexed citations
12.
Lee, Han S., et al.. (2003). The eye is necessary for a circadian rhythm in the suprachiasmatic nucleus. Nature Neuroscience. 6(2). 111–112. 123 indexed citations
13.
Lee, Han S., Heather J. Billings, & Michael N. Lehman. (2003). The Suprachiasmatic Nucleus: A Clock of Multiple Components. Journal of Biological Rhythms. 18(6). 435–449. 69 indexed citations
14.
Fernandes, Isabelle, Yolande Bastien, Timothy Wai, et al.. (2003). Ligand-Dependent Nuclear Receptor Corepressor LCoR Functions by Histone Deacetylase-Dependent and -Independent Mechanisms. Molecular Cell. 11(1). 139–150. 203 indexed citations
15.
Lee, Han S., et al.. (2000). DNA fragmentation factor 45 deficient mice exhibit enhanced spatial learning and memory compared to wild-type control mice. Brain Research. 867(1-2). 70–79. 28 indexed citations
16.
Aumais, Jonathan, Han S. Lee, Roberto Lin, & John H. White. (1997). Selective Interaction of hsp90 with an Estrogen Receptor Ligand-binding Domain Containing a Point Mutation. Journal of Biological Chemistry. 272(18). 12229–12235. 32 indexed citations
17.
Aumais, Jonathan, et al.. (1996). Function of Directly Repeated Half-sites as Response Elements for Steroid Hormone Receptors. Journal of Biological Chemistry. 271(21). 12568–12577. 71 indexed citations
18.
McCuaig, K, et al.. (1995). Parathyroid hormone/parathyroid hormone related peptide receptor gene transcripts are expressed from tissue-specific and ubiquitous promoters. Nucleic Acids Research. 23(11). 1948–1955. 61 indexed citations
19.
20.
Goyer, C, Han S. Lee, Danielle Malo, & Nahum Sonenberg. (1992). Isolation of a Yeast Gene Encoding a Protein Homologous to the Human Tat-Binding Protein TBP-1. DNA and Cell Biology. 11(8). 579–585. 26 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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