Minje Han

407 total citations
27 papers, 320 citations indexed

About

Minje Han is a scholar working on Epidemiology, Infectious Diseases and Clinical Biochemistry. According to data from OpenAlex, Minje Han has authored 27 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 6 papers in Infectious Diseases and 6 papers in Clinical Biochemistry. Recurrent topics in Minje Han's work include Metabolism and Genetic Disorders (3 papers), Lysosomal Storage Disorders Research (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Minje Han is often cited by papers focused on Metabolism and Genetic Disorders (3 papers), Lysosomal Storage Disorders Research (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Minje Han collaborates with scholars based in South Korea and United Arab Emirates. Minje Han's co-authors include Junghan Song, Sang Hoon Song, Kyoung Un Park, Jae‐Seok Kim, Yousun Chung, Jae Ho Lee, Jung‐Min Kim, Kyunghoon Lee, Sung Hee Chung and Myoung Hee Park and has published in prestigious journals such as Journal of Antimicrobial Chemotherapy, BioMed Research International and The Journal of Steroid Biochemistry and Molecular Biology.

In The Last Decade

Minje Han

27 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minje Han South Korea 12 102 91 74 62 57 27 320
Avinash Singh India 12 140 1.4× 170 1.9× 76 1.0× 114 1.8× 9 0.2× 57 608
Junichi Kitazawa Japan 11 60 0.6× 43 0.5× 36 0.5× 120 1.9× 18 0.3× 51 408
James Song United States 11 62 0.6× 123 1.4× 61 0.8× 119 1.9× 62 1.1× 13 566
Markus Mueller Austria 9 40 0.4× 98 1.1× 47 0.6× 71 1.1× 162 2.8× 26 432
Ilka Steiner Austria 11 34 0.3× 49 0.5× 29 0.4× 73 1.2× 97 1.7× 18 350
Kai van Hateren Netherlands 11 174 1.7× 106 1.2× 40 0.5× 53 0.9× 165 2.9× 21 401
Seonghae Yoon South Korea 11 66 0.6× 69 0.8× 12 0.2× 118 1.9× 39 0.7× 30 419
Julia Tonini France 11 186 1.8× 135 1.5× 13 0.2× 34 0.5× 76 1.3× 20 348
Ashima Bhatia India 9 67 0.7× 72 0.8× 28 0.4× 69 1.1× 116 2.0× 22 362
Kay Cherian United States 10 38 0.4× 83 0.9× 26 0.4× 184 3.0× 21 0.4× 12 483

Countries citing papers authored by Minje Han

Since Specialization
Citations

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

Fields of papers citing papers by Minje Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minje Han

This figure shows the co-authorship network connecting the top 25 collaborators of Minje Han. A scholar is included among the top collaborators of Minje Han 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 Minje Han. Minje Han 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
2.
Cho, Jooyoung, Tae‐Dong Jeong, Soo Young Moon, et al.. (2022). Current Status of Reporting Units and Unit Sizes of Quantitative Test Results of Clinical Chemistry in Korea. Laboratory Medicine Online. 12(4). 292–303. 1 indexed citations
4.
Chung, Yousun, Minje Han, & Jae‐Seok Kim. (2021). Comparative Evaluation of Bruker Biotyper and ASTA MicroIDSys for Species Identification in a Clinical Microbiology Laboratory. Diagnostics. 11(9). 1683–1683. 7 indexed citations
5.
Ko, Dae‐Hyun, Sang Hoon Song, Minje Han, et al.. (2020). Multiplex LC–MS/MS for simultaneous determination of 25-hydroxyvitamin D, 24,25-dihydroxyvitamin D3, albumin, and vitamin D-binding protein with its isoforms: One-step estimation of bioavailable vitamin D and vitamin D metabolite ratio. The Journal of Steroid Biochemistry and Molecular Biology. 206. 105796–105796. 14 indexed citations
6.
Chung, Yousun, et al.. (2020). Characterization of Chlamydia trachomatis ompA Genotypes Among Sexually Transmitted Disease Patients in Korea. Clinical Laboratory. 66(05/2020). 2 indexed citations
7.
Chung, Yousun, Minje Han, Hyun Soo Kim, et al.. (2019). A comparative evaluation of BACT/ALERT FA PLUS and FN PLUS blood culture bottles and BD BACTEC Plus Aerobic and Anaerobic blood culture bottles for antimicrobial neutralization. European Journal of Clinical Microbiology & Infectious Diseases. 38(12). 2229–2233. 11 indexed citations
9.
Han, Minje, et al.. (2017). Performance evaluation of enzyme immunoassay for voriconazole therapeutic drug monitoring with automated clinical chemistry analyzers. Practical Laboratory Medicine. 8. 86–94. 9 indexed citations
10.
Lee, Kyunghoon, et al.. (2015). Performance evaluation of SD A1cCare as a HbA1c analyzer for point-of-care testing. Clinical Biochemistry. 48(9). 625–627. 7 indexed citations
11.
Han, Minje, Yun‐Jin Lee, Baik‐Lin Eun, et al.. (2015). Biochemical and Genetic Analysis of Seven Korean Individuals With Suspected Metachromatic Leukodystrophy. Annals of Laboratory Medicine. 35(4). 458–462. 5 indexed citations
12.
Han, Minje, et al.. (2014). Ultra‐performance liquid chromatography/tandem mass spectrometry for determination of sulfatides in dried blood spots from patients with metachromatic leukodystrophy. Rapid Communications in Mass Spectrometry. 28(6). 587–594. 18 indexed citations
13.
Chang, Ho Eun, Sang Mee Hwang, Yun Ji Hong, et al.. (2014). Genotyping for RhD and RhCEce Antigens Using Free Circulating Nucleic Acids in Plasma and Serum. The Korean Journal of Blood Transfusion. 25(3). 249–259. 1 indexed citations
14.
Moon, Soo Young, Minje Han, Sang Hoon Song, et al.. (2014). Quantification of Human Plasma-Busulfan Concentration by Liquid Chromatography-Tandem Mass Spectrometry. Annals of Laboratory Medicine. 34(1). 7–14. 23 indexed citations
15.
Lee, Kyunghoon, Kwang Woo Lee, Minje Han, et al.. (2014). Evaluation of the T-KB-H and 3-HB Kits for the Measurement of Serum Ketone and β-Hydroxybutyric Acid. Laboratory Medicine Online. 4(1). 22–22. 2 indexed citations
16.
Han, Minje, et al.. (2013). Method for simultaneous analysis of nine second-line anti-tuberculosis drugs using UPLC-MS/MS. Journal of Antimicrobial Chemotherapy. 68(9). 2066–2073. 39 indexed citations
17.
Han, Minje, et al.. (2013). Performance Evaluation of the CAPILLARYS 2 FLEX Piercing Analyzer for HbA1cDetermination. Laboratory Medicine Online. 3(4). 221–221. 1 indexed citations
18.
Han, Minje, Ho Eun Chang, Kyoung Un Park, Junghan Song, & Kyou Sup Han. (2011). Serum Ferritin Levels for Normal Hemoglobin Blood Donors in a Korean Population. The Korean Journal of Blood Transfusion. 22(2). 127–133. 2 indexed citations
19.
Kim, Ji‐Eun, et al.. (2011). Vitamin E inhibition on platelet procoagulant activity: Involvement of aminophospholipid translocase activity. Thrombosis Research. 127(5). 435–442. 10 indexed citations
20.
Han, Minje, et al.. (2011). Use of Tandem Mass Spectrometry for Newborn Screening of 6 Lysosomal Storage Disorders in a Korean Population. Annals of Laboratory Medicine. 31(4). 250–256. 23 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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