Gi‐Ok Kim

735 citations
32 papers · 636 · h-index 13

Impact in

  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Natural product bioactivities and synthesis 7
    • Genomics, phytochemicals, and oxidative stress 3
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 5

Gi‐Ok Kim

31 papers receiving 623 citations

Peers

Gi‐Ok Kim
Comparison fields: 5 of 79
  • Biochemistry 62
  • Immunology 184
  • Toxicology 19
  • Dermatology 47
  • Pharmacology 46
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Wutigri Nimlamool Thailand
Jin‐Nyoung Ho South Korea
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Gi‐Ok Kim relative to Song-Kyu Park South Korea Song-Kyu Park's profile →
Citations per field
00.5×1.5×2.3×
Song-Kyu Park · 1×
Citations per year

Countries citing papers authored by Gi‐Ok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gi‐Ok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009109
2 200258
3 199858
4 200550
5 201146
6 200136
7 201034
8 201031
9
Persistent expression of experimental autoimmune encephalomyelitis (EAE)-specific Vbeta8.2 TCR spectratype in the central nervous system of rats with chronic relapsing EAE.
199825
10 201223
11 199823
12 201618
13 201815
14 201112
15 199811
16 200011
17 201611
18 201910
19 20208
20 20228

About Gi‐Ok Kim

Gi‐Ok Kim is a scholar working on Molecular Biology, Immunology, Biochemistry, Plant Science and Cell Biology, having authored 32 papers that have together received 636 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (7 papers), T-cell and B-cell Immunology (7 papers), Phytochemicals and Antioxidant Activities (7 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), Phytochemistry and Biological Activities (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and melanin and skin pigmentation (3 papers). The work is most often cited by research in Biochemistry (62 citations), Immunology (184 citations), Toxicology (19 citations), Dermatology (47 citations) and Pharmacology (46 citations). Gi‐Ok Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Chang‐Gu Hyun, Naoyuki Tanuma, Keith B. Elkon, Jae‐Bum Jun, Eun Jin Yang, Yoh Matsumoto, Kuniko Kohyama, Youngheun Jee, Ji‐Young Moon and Nam Ho Lee. Their work appears in journals such as Journal of Neuroimmunology, Pharmaceutical Biology, The Journal of Immunology, Phytotherapy Research and Natural Product Communications.

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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