Suk‐Hwan Baek

3.5k citations
92 papers · 3.0k · h-index 33

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune cells in cancer
    • NF-κB Signaling Pathways

Papers in

    • S100 Proteins and Annexins 8
    • Ubiquitin and proteasome pathways 7
    • Immune Response and Inflammation 20
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 18

Suk‐Hwan Baek

92 papers receiving 2.9k citations

Peers

Suk‐Hwan Baek
Comparison fields: 5 of 114
  • Immunology 836
  • Cancer Research 390
  • Molecular Biology 1.6k
  • Aging 35
  • Immunology and Allergy 113
Replace Tsuyoshi Shuto with:
Tsuyoshi Shuto Japan
Qingbo Xu Austria
Takuya Awata Japan
Charles Kunsch United States
Neus Prats Spain
Флориан Грубер Austria
Xueqing Ba China
Hui Chen China
Satoshi Fujii Japan
Carole Peyssonnaux France
Suk‐Hwan Baek relative to Tsuyoshi Shuto Japan Tsuyoshi Shuto's profile →
Citations per field
00.5×1.5×
Tsuyoshi Shuto · 1×
Citations per year

Countries citing papers authored by Suk‐Hwan Baek

Since Specialization
Citations

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

Fields of papers citing papers by Suk‐Hwan Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suk‐Hwan Baek. 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 Suk‐Hwan Baek. The network helps show where Suk‐Hwan Baek may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007153
2 2008122
3 2003120
4 2004100
5 200288
6 201081
7 200879
8 200368
9 200866
10 200362
11 200562
12 200760
13 201060
14 200459
15 201454
16 200952
17 201751
18 200449
19 199748
20 200347

About Suk‐Hwan Baek

Suk‐Hwan Baek is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Physiology, having authored 92 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune Response and Inflammation (20 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (18 papers), NF-κB Signaling Pathways (12 papers), Nitric Oxide and Endothelin Effects (8 papers), S100 Proteins and Annexins (8 papers), Protease and Inhibitor Mechanisms (8 papers), Ubiquitin and proteasome pathways (7 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Immunology (836 citations), Cancer Research (390 citations), Molecular Biology (1.6k citations), Aging (35 citations) and Immunology and Allergy (113 citations). Suk‐Hwan Baek has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Yoe‐Sik Bae, ChuHee Lee, Jae-Ryong Kim, Jin‐Gu Lee, Bin Huang, Dae‐Weon Park, Jae-Ryong Kim, Jung Hye Kim, Seong Yong Kim and Young Bae Seu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Experimental & Molecular Medicine, The Journal of Immunology, Molecular Pharmacology and Cellular Signalling.

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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