Kee Hun

656 citations
25 papers · 560 · h-index 15

Impact in

Papers in

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

Kee Hun

25 papers receiving 548 citations

Peers

Kee Hun
Comparison fields: 5 of 92
  • Cell Biology 88
  • Immunology 111
  • Molecular Biology 282
  • Cancer Research 61
  • Aquatic Science 29
Replace Hye Jin Choi with:
Hye Jin Choi South Korea
Andrés Delgado Cañedo Brazil
Yi Yan China
Song Wu China
Shujuan Liang China
Young Geol Yoon South Korea
Zhiwen Ding China
Takenori Takahashi Japan
Eun‐Chung Jhee South Korea
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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201068
2 201249
3 200844
4 201033
5 201131
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 201422
13 201322
14 201316
15 201114
16 201613
17 201612
18 201011
19 201211
20 200911

About Kee Hun

Kee Hun is a scholar working on Immunology, Molecular Biology, Cancer Research, Rheumatology and Physiology, having authored 25 papers that have together received 560 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), GDF15 and Related Biomarkers (5 papers), Macrophage Migration Inhibitory Factor (5 papers), NF-κB Signaling Pathways (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Nutrition and Health in Aging (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cell Biology (88 citations), Immunology (111 citations), Molecular Biology (282 citations), Cancer Research (61 citations) and Aquatic Science (29 citations). Kee Hun has collaborated with scholars based in South Korea, United States and Poland. Frequent co-authors include Juil Kim, Yuseok Moon, 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, Infection and Immunity, Journal of Biological Chemistry, Toxicology Letters and Oncotarget.

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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