Mi‐Ok Sim

467 citations
22 papers · 412 · h-index 11

Impact in

  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities
  • Pharmacology top 10%
    • Pharmacological Effects of Natural Compounds

Papers in

Mi‐Ok Sim

18 papers receiving 405 citations

Peers

Mi‐Ok Sim
Comparison fields: 5 of 76
  • Biochemistry 60
  • Pharmacology 54
  • Complementary and alternative medicine 49
  • Endocrinology, Diabetes and Metabolism 48
  • Toxicology 9
Replace Hassan Madkhali with:
Hassan Madkhali Saudi Arabia
Weronika Wojnar Poland
Heba M. I. Abdallah Egypt
Andrea Kapinová Slovakia
Rayeesa Ali India
Xiaolin Dai China
Youdan Liang China
Duong Thi Bich Thuan Vietnam
Wen-Huang Peng Taiwan
Bashir Ahmad Pakistan
Mi‐Ok Sim relative to Hassan Madkhali Saudi Arabia Hassan Madkhali's profile →
Citations per field
00.5×5×10×15×20×23×
Hassan Madkhali · 1×
Citations per year

Countries citing papers authored by Mi‐Ok Sim

Since Specialization
Citations

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

Fields of papers citing papers by Mi‐Ok Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mi‐Ok Sim, 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 Mi‐Ok Sim Line = papers co-authored together Mi‐Ok Sim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016112
2 201448
3 201537
4 201835
5 201428
6 201528
7 201621
8 201720
9 201619
10 201915
11 201912
12 20178
13 20178
14 20177
15 20166
16 20163
17
The Anti-osteoporosis Effects of Cassia tora L. Seed Ethanol Extract in Ovariectomixed Rats
20162
18 20162
19 20161
20 20190

About Mi‐Ok Sim

Mi‐Ok Sim is a scholar working on Molecular Biology, Epidemiology, Physiology, Food Science and Plant Science, having authored 22 papers that have together received 412 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (4 papers), Food Quality and Safety Studies (4 papers), melanin and skin pigmentation (3 papers), Skin Protection and Aging (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Biopolymer Synthesis and Applications (2 papers). The work is most often cited by research in Biochemistry (60 citations), Pharmacology (54 citations), Complementary and alternative medicine (49 citations), Endocrinology, Diabetes and Metabolism (48 citations) and Toxicology (9 citations). Mi‐Ok Sim has collaborated with scholars based in South Korea and Brazil. Frequent co-authors include Ju Ri Ham, Mi‐Kyung Lee, Hae-In Lee, Kwon‐Il Seo, Ra‐Yeong Choi, Hyun-Woo Cho, Ji-Hun Jang, Myung‐Joo Kim, Mi Kyung Lee and Jong-Choon Kim. Their work appears in journals such as Chemico-Biological Interactions, Toxicological Research, Journal of Functional Foods, Alcohol and The FASEB Journal.

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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