Mun-Han Lee

659 citations
16 papers · 539 · h-index 11

Impact in

  • Food Science top 10%
    • Potato Plant Research
    • Advanced biosensing and bioanalysis techniques
    • Identification and Quantification in Food
    • Redox biology and oxidative stress

Papers in

    • Identification and Quantification in Food 2
    • Genetic and phenotypic traits in livestock 3
    • Genetic diversity and population structure 3
    • Human-Animal Interaction Studies 2

Mun-Han Lee

16 papers receiving 518 citations

Peers

Mun-Han Lee
Comparison fields: 5 of 87
  • Food Science 87
  • Molecular Biology 268
  • Genetics 96
  • Microbiology 21
  • Clinical Biochemistry 20
Replace Xiang-He Lei with:
Xiang-He Lei United States
Andrew T. Carter United Kingdom
Brian V. Tsu United States
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Reza Rezaei Iran
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Citations per field
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Citations per year

Countries citing papers authored by Mun-Han Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mun-Han Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mun-Han Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mun-Han Lee Line = papers co-authored together Mun-Han Lee links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2011105
2 200572
3 200569
4 200554
5 200649
6 200648
7 199837
8 200426
9
Molecular phylogenetic status of the Korean goral and Japanese serow based on partial sequences of the mitochondrial cytochrome b gene.
200426
10 200924
11 199811
12 20018
13 20024
14 20053
15
Attitudes toward animals and decision making on veterinary ethical issues in Korean veterinary students.
20102
16
Application of ELISA and immunochromatographic assay to dairy research.
20061

About Mun-Han Lee

Mun-Han Lee is a scholar working on Molecular Biology, Genetics, Pharmacology, Ecology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 539 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (3 papers), Genetic diversity and population structure (3 papers), Human-Animal Interaction Studies (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Identification and Quantification in Food (2 papers), Potato Plant Research (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Food Science (87 citations), Molecular Biology (268 citations), Genetics (96 citations), Microbiology (21 citations) and Clinical Biochemistry (20 citations). Mun-Han Lee has collaborated with scholars based in South Korea, Ethiopia and Japan. Frequent co-authors include Chang‐Hoon Han, Yong Jin, Jin‐Wook Jang, Hang Lee, Junghwa An, Mi‐Sook Min, Mu‐Yeong Lee, Sanghyun Lee, Chanhee Chae and Hyejin Yang. Their work appears in journals such as Clinica Chimica Acta, Genes & Genetic Systems, Molecules and Cells, Reproductive Toxicology and Journal of Agricultural and Food Chemistry.

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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