Mi‐Hwa Oh

3.6k total citations · 2 hit papers
149 papers, 3.0k citations indexed

About

Mi‐Hwa Oh is a scholar working on Food Science, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Mi‐Hwa Oh has authored 149 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Food Science, 54 papers in Molecular Biology and 28 papers in Animal Science and Zoology. Recurrent topics in Mi‐Hwa Oh's work include Probiotics and Fermented Foods (29 papers), Meat and Animal Product Quality (22 papers) and Intermetallics and Advanced Alloy Properties (21 papers). Mi‐Hwa Oh is often cited by papers focused on Probiotics and Fermented Foods (29 papers), Meat and Animal Product Quality (22 papers) and Intermetallics and Advanced Alloy Properties (21 papers). Mi‐Hwa Oh collaborates with scholars based in South Korea, United States and Japan. Mi‐Hwa Oh's co-authors include H. Inui, M. Yamaguchi, Dang-Moon Wee, Yun Suk Huh, A. Nakamura, Jun-Sang Ham, Eun‐Seon Lee, Reddicherla Umapathi, Gokana Mohana Rani and Young‐Rok Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and The Journal of Immunology.

In The Last Decade

Mi‐Hwa Oh

143 papers receiving 2.9k citations

Hit Papers

Colorimetric based on-site sensing strategies for the rap... 2021 2026 2022 2024 2021 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mi‐Hwa Oh South Korea 27 969 917 864 550 520 149 3.0k
Xi Xia China 34 510 0.5× 816 0.9× 352 0.4× 1.4k 2.5× 579 1.1× 114 4.0k
Mingqiang Qiao China 38 773 0.8× 1.7k 1.8× 266 0.3× 995 1.8× 907 1.7× 151 4.9k
Ye Han China 32 1.1k 1.2× 334 0.4× 787 0.9× 296 0.5× 234 0.5× 117 2.7k
Fang Zhang China 31 583 0.6× 1.2k 1.3× 155 0.2× 1.1k 1.9× 372 0.7× 116 3.2k
Zhengwei Cui China 28 685 0.7× 225 0.2× 547 0.6× 217 0.4× 1.0k 1.9× 101 3.1k
Francesco Berti Italy 37 2.3k 2.3× 1.4k 1.5× 1.1k 1.3× 121 0.2× 202 0.4× 114 5.7k
Shuyu Xie China 26 347 0.4× 801 0.9× 102 0.1× 354 0.6× 488 0.9× 83 3.0k
Reza Karimi Iran 26 172 0.2× 791 0.9× 381 0.4× 441 0.8× 537 1.0× 71 2.2k
Marie Wahlgren Sweden 36 1.0k 1.1× 1.1k 1.2× 100 0.1× 798 1.5× 1.5k 2.8× 148 5.8k
Guangxing Li China 35 639 0.7× 649 0.7× 273 0.3× 537 1.0× 119 0.2× 137 3.8k

Countries citing papers authored by Mi‐Hwa Oh

Since Specialization
Citations

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

Fields of papers citing papers by Mi‐Hwa Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi‐Hwa Oh. 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 Mi‐Hwa Oh. The network helps show where Mi‐Hwa Oh may publish in the future.

Co-authorship network of co-authors of Mi‐Hwa Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Mi‐Hwa Oh. A scholar is included among the top collaborators of Mi‐Hwa Oh 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 Mi‐Hwa Oh. Mi‐Hwa Oh 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.
Ranjith, Kugalur Shanmugam, Ali Mohammadi, Ganji Seeta Rama Raju, et al.. (2024). Imparting hydrophobicity to a MOF on layered MXene for the selective, rapid, and ppb level humidity-independent detection of NH3 at room temperature. Journal of Materials Chemistry A. 12(38). 26132–26146. 16 indexed citations
2.
Lee, Eun‐Seon, et al.. (2024). Antifungal Efficacy of Clove Extract in Fermented Sausage Production: A Practical Approach for Microbial Control and Maintaining Quality Properties. Food Science of Animal Resources. 45(3). 727–743. 1 indexed citations
3.
Kim, Yeonhoo, Jae Hyun Kim, Seung Ju Kim, et al.. (2024). Highly Selective Ammonia Detection in NiO‐Functionalized Graphene Micropatterns for Beef Quality Monitoring. Advanced Functional Materials. 34(46). 20 indexed citations
5.
Aliya, Sheik, et al.. (2023). A simultaneous qualitative and quantitative lateral flow immunoassay for on-site and rapid detection of streptomycin in pig blood serum and urine. Microchemical Journal. 195. 109427–109427. 20 indexed citations
6.
Lee, Eun‐Seon, et al.. (2022). Inhibitory effects of ultraviolet-C light and thermal treatment on four fungi isolated from pig slaughterhouses in Korea. Journal of Animal Science and Technology. 64(2). 343–352. 2 indexed citations
7.
Kandasamy, Sujatha, Jayeon Yoo, Jeonghee Yun, et al.. (2022). Probiogenomic In-Silico Analysis and Safety Assessment of Lactiplantibacillus plantarum DJF10 Strain Isolated from Korean Raw Milk. International Journal of Molecular Sciences. 23(22). 14494–14494. 30 indexed citations
8.
9.
Park, Bum Jun, Sonam Sonwal, Eunsu Kim, et al.. (2022). Highly Specific Peptide-Mediated Cuvette-Form Localized Surface Plasmon Resonance (LSPR)-Based Fipronil Detection in Egg. Biosensors. 12(11). 914–914. 7 indexed citations
10.
Seol, Kuk‐Hwan, et al.. (2021). Gut Microbiome and Alzheimer’s Disease. 39(3). 94–103. 1 indexed citations
11.
Yoo, Jayeon, Jeonghee Yun, Kuk‐Hwan Seol, Mi‐Hwa Oh, & Jun-Sang Ham. (2020). Oxidative Stress and Alzheimer’s Disease. 38(3). 134–141. 1 indexed citations
12.
Ryu, Hyunil, Eun‐Seon Lee, Mi‐Hwa Oh, et al.. (2020). Aptamer-Conjugated Polydiacetylene Colorimetric Paper Chip for the Detection of Bacillus thuringiensis Spores. Sensors. 20(11). 3124–3124. 28 indexed citations
13.
Yun, Bohyun, Sangdon Ryu, Mi‐Hwa Oh, et al.. (2019). Simple Evaluation of Listeria monocytogenes Pathogenesis Using Caenorhabditis elegans Animal Model. Food Science of Animal Resources. 39(1). 84–92. 11 indexed citations
14.
Seol, Kuk‐Hwan, et al.. (2019). Inhibitory Activity of Lactic Acid Bacteria against Fungal Spoilage. 37(2). 83–93. 1 indexed citations
15.
Kandasamy, Sujatha, et al.. (2019). Characterisation of fungal contamination sources for use in quality management of cheese production farms in Korea. Asian-Australasian Journal of Animal Sciences. 33(6). 1002–1011. 18 indexed citations
16.
Oh, Mi‐Hwa. (2018). Mediating Effect of Therapeutic Relationship with Mental Health Professionals in the Relation between Empowerment and Recovery of Community Dwelling Patients with a Mental Illnesst. Journal of the Korea Academia-Industrial cooperation Society. 19(4). 211–220. 2 indexed citations
17.
Jang, Aera, Dongwook Kim, Geun-Ho Kang, et al.. (2011). Effect of Hen Egg Supplementation on Blood Lipid Profile and Fecal Bile Acid of C57BL/6 Mouse Fed Normal and High Cholesterol Diet. Korean Journal for Food Science of Animal Resources. 31(2). 250–256. 4 indexed citations
18.
Oh, Mi‐Hwa & J.M. Cox. (2009). Toxigenic Bacilli Associated with Food Poisoning. Food Science and Biotechnology. 18(3). 594–603. 8 indexed citations
19.
Oh, Mi‐Hwa, et al.. (2008). Analysis of Major Foodborne Pathogens in Various Foods in Korea. Food Science and Biotechnology. 17(3). 483–488. 14 indexed citations
20.
Oh, Mi‐Hwa, et al.. (1998). Freeze Drying of Fermented Milk Prepared from Milk and Fruit Juices. Korean Journal of Food Science and Technology. 30(6). 1448–1455. 1 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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