Han Sung Lee

632 total citations
37 papers, 415 citations indexed

About

Han Sung Lee is a scholar working on Infectious Diseases, Genetics and Epidemiology. According to data from OpenAlex, Han Sung Lee has authored 37 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 11 papers in Genetics and 10 papers in Epidemiology. Recurrent topics in Han Sung Lee's work include Glioma Diagnosis and Treatment (11 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Han Sung Lee is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Han Sung Lee collaborates with scholars based in United States, South Korea and Palestinian Territory. Han Sung Lee's co-authors include Young Goo Song, Sang Hoon Han, Bum Sik Chin, June Myung Kim, Chang Oh Kim, Jun Yong Choi, Hee Kyoung Choi, Su Jin Jeong, Myoung Soo Kim and Kyungwon Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Metabolism.

In The Last Decade

Han Sung Lee

34 papers receiving 406 citations

Peers

Han Sung Lee
Seok Lae Chae South Korea
Jung Hee Yoon South Korea
Yaël Gernez United States
Jan Hrbáček Switzerland
Jun Hyung Lee South Korea
Ronald Jackups United States
Seok Lae Chae South Korea
Han Sung Lee
Citations per year, relative to Han Sung Lee Han Sung Lee (= 1×) peers Seok Lae Chae

Countries citing papers authored by Han Sung Lee

Since Specialization
Citations

This map shows the geographic impact of Han Sung 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 Sung 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 Sung Lee more than expected).

Fields of papers citing papers by Han Sung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Sung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Han Sung Lee. A scholar is included among the top collaborators of Han Sung 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 Sung Lee. Han Sung 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.
Fiehn, Oliver, Lina A. Dahabiyeh, Rubén Fragoso, et al.. (2025). Longitudinal Plasma Lipidomics Reveals Distinct Signatures Following Surgery in Patients with Glioblastoma. Metabolites. 15(10). 673–673.
2.
3.
Aboud, Orwa, Yin Liu, Oliver Fiehn, et al.. (2023). Application of Machine Learning to Metabolomic Profile Characterization in Glioblastoma Patients Undergoing Concurrent Chemoradiation. Metabolites. 13(2). 299–299. 13 indexed citations
4.
Shin, Dong‐Ho, Nak‐Hyun Kim, Eun Sun Kim, et al.. (2023). Nationwide survey of internal medicine hospitalists in Korea: motivation and sustainability of a hospitalist career. The Korean Journal of Internal Medicine. 38(3). 434–443. 2 indexed citations
5.
Alfonso‐García, Alba, Julien Bec, Han Sung Lee, et al.. (2023). In vivo characterization of the human glioblastoma infiltrative edge with label-free intraoperative fluorescence lifetime imaging. Biomedical Optics Express. 14(5). 2196–2196. 7 indexed citations
6.
Abu‐Asab, Mones, et al.. (2023). Comparative survey of mitochondrial ultrastructure in IDH1-mutant astrocytoma and IDH1-wildtype glioblastoma (GBM). Ultrastructural Pathology. 47(2). 116–121. 6 indexed citations
7.
Bai, Bijie, Hongda Wang, Yuzhu Li, et al.. (2022). Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue using Deep Learning. SHILAP Revista de lepidopterología. 2022. 9786242–9786242. 39 indexed citations
8.
Moon, Sung Woo, et al.. (2022). Low muscle mass, low muscle function, and sarcopenia in the urban and rural elderly. Scientific Reports. 12(1). 14314–14314. 11 indexed citations
9.
Alfonso‐García, Alba, Xiangnan Zhou, Julien Bec, et al.. (2022). Intraoperative detection ofIDH‐mutant glioma using fluorescence lifetime imaging. Journal of Biophotonics. 16(4). e202200291–e202200291. 5 indexed citations
10.
Pekmezci, Melike, et al.. (2016). Pitfalls in the use of whole slide imaging for the diagnosis of central nervous system tumors: A pilot study in surgical neuropathology. Journal of Pathology Informatics. 7(1). 25–25. 9 indexed citations
11.
Lee, Hyo‐Pyo, Soo‐Ok Kim, Tae Sook Hwang, et al.. (2011). Analytical and clinical performances of a restriction fragment mass polymorphism assay for detection and genotyping of a wide spectrum of human papillomaviruses. Journal of Medical Virology. 83(3). 471–482. 9 indexed citations
12.
Chin, Bum Sik, Sang Hoon Han, Han Sung Lee, et al.. (2011). The Characteristics of Metallo-β-Lactamase-Producing Gram-Negative Bacilli Isolated from Sputum and Urine: A Single Center Experience in Korea. Yonsei Medical Journal. 52(2). 351–351. 11 indexed citations
13.
Han, Sang Hoon, Bum Sik Chin, Han Sung Lee, et al.. (2009). Recovery of Both Vancomycin-Resistant Enterococci and Methicillin-ResistantStaphylococcus aureusFrom Culture of a Single Clinical Specimen From Colonized or Infected Patients. Infection Control and Hospital Epidemiology. 30(2). 130–138. 13 indexed citations
14.
Han, Sang Hoon, Bum Sik Chin, Han Sung Lee, et al.. (2009). Serum retinol-binding protein 4 correlates with obesity, insulin resistance, and dyslipidemia in HIV-infected subjects receiving highly active antiretroviral therapy. Metabolism. 58(11). 1523–1529. 6 indexed citations
15.
Chin, Bum Sik, Sang Hoon Han, Han Sung Lee, et al.. (2009). Risk factors for recurrent catheter-related infections after catheter-related bloodstream infections. International Journal of Infectious Diseases. 14(1). e16–e21. 13 indexed citations
16.
Layzer, Robert B., Han Sung Lee, Donald C. Iverson, & Marta Margeta. (2009). Dermatomyositis with inclusion body myositis pathology. Muscle & Nerve. 40(3). 469–471. 9 indexed citations
17.
Choi, Hee Kyoung, Su Jin Jeong, Han Sung Lee, et al.. (2009). Blood Stream Infections by Candida glabrata and Candida krusei: A Single-Center Experience. The Korean Journal of Internal Medicine. 24(3). 263–263. 27 indexed citations
18.
Jeong, Su Jin, Hee Kyoung Choi, Han Sung Lee, et al.. (2009). Incidence and risk factors of infection in a single cohort of 110 adults with systemic lupus erythematosus. Scandinavian Journal of Infectious Diseases. 41(4). 268–274. 58 indexed citations
19.
Han, Sang Hoon, Bum Sik Chin, Han Sung Lee, et al.. (2009). Diagnosis and Species Identification of Mycobacterial Infections by Polymerase Chain Reaction-Restriction Fragment Length Polymorphism Analysis of Sterile Body Fluids. The Korean Journal of Internal Medicine. 24(2). 135–135. 10 indexed citations
20.
Choi, Jun Yong, Chang Ki Kim, Chang Oh Kim, et al.. (2008). Risk factors and outcomes of bloodstream infections with metallo-β-lactamase-producing Acinetobacter. Scandinavian Journal of Infectious Diseases. 40(3). 234–240. 25 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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