Kee Hun

664 citations
26 papers · 565 · h-index 15

Impact in

Papers in

    • Macrophage Migration Inhibitory Factor 5
    • Immune Response and Inflammation 5
    • Protein Kinase Regulation and GTPase Signaling 3
    • PI3K/AKT/mTOR signaling in cancer 3

Kee Hun

26 papers receiving 554 citations

Peers

Kee Hun
Comparison fields: 5 of 91
  • Cell Biology 82
  • Immunology 98
  • Aquatic Science 30
  • Cancer Research 54
  • Molecular Biology 254
Replace Hye Jin Choi with:
Hye Jin Choi South Korea
Andrés Delgado Cañedo Brazil
Song Wu China
Zhiwen Ding China
Shujuan Liang China
Yidan Wang China
Young Geol Yoon South Korea
Rui Han China
Takenori Takahashi Japan
Kee Hun relative to Hye Jin Choi South Korea Hye Jin Choi's profile →
Citations per field
00.5×1.5×1.8×
Hye Jin Choi · 1×
Citations per year

Countries citing papers authored by Kee Hun

Since Specialization
Citations

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

Fields of papers citing papers by Kee Hun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201068
2 201252
3 200844
4 201033
5 201132
6 200929
7 200929
8 200828
9 201628
10 201227
11
Effects of seaweed Laminaria japonica extracts on skin moisturizing activity in vivo.
201326
12 201322
13 201422
14 201316
15 201114
16 201613
17 201612
18 200911
19 201011
20 201211

About Kee Hun

Kee Hun is a scholar working on Immunology, Molecular Biology, Cancer Research, Rheumatology and Physiology, having authored 26 papers that have together received 565 indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (5 papers), GDF15 and Related Biomarkers (5 papers), Immune Response and Inflammation (5 papers), NF-κB Signaling Pathways (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Nutrition and Health in Aging (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cell Biology (82 citations), Immunology (98 citations), Aquatic Science (30 citations), Cancer Research (54 citations) and Molecular Biology (254 citations). Kee Hun has collaborated with scholars based in South Korea, United States and Poland. Frequent co-authors include Yuseok Moon, Juil Kim, Hye Jin Choi, Seonghwan Park, Hyun Yang, Sun Sik Bae, Jae Ho Kim, Dong Won Lee, Sung Ji Yun and Eun Kyoung Kim. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Toxicology Letters, Infection and Immunity and Experimental & Molecular Medicine.

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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