Sung‐Kwon Moon

5.0k citations
148 papers · 4.1k indexed · h-index 35

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Phytochemicals and Antioxidant Activities

Papers in

    • NF-κB Signaling Pathways 11
    • Protease and Inhibitor Mechanisms 8
    • Genomics, phytochemicals, and oxidative stress 16
    • Natural product bioactivities and synthesis 12
    • Ubiquitin and proteasome pathways 8

Sung‐Kwon Moon

145 papers receiving 4.0k citations

Peers

Sung‐Kwon Moon
Comparison fields: 5 of 132
  • Cancer Research 917
  • Biochemistry 217
  • Toxicology 108
  • Molecular Biology 2.2k
  • Pharmacology 215
Replace Yong Lin with:
Yong Lin United States
Feng Zhu China
Ammad Ahmad Farooqı Pakistan
Sung‐Hoon Kim South Korea
Hui‐Ling Chiou Taiwan
Jong‐Wook Park South Korea
Yi‐Hsien Hsieh Taiwan
Johannes M. Breuss Austria
Seong‐Su Han United States
Ming‐Hsien Chien Taiwan
Sung‐Kwon Moon relative to Yong Lin United States Yong Lin's profile →
Citations per field
00.5×1.5×
Yong Lin · 1×
Citations per year

Countries citing papers authored by Sung‐Kwon Moon

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Kwon Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung‐Kwon Moon. 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 Sung‐Kwon Moon. The network helps show where Sung‐Kwon Moon may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20240
3 20240
4 20244
5 202318
6 20233
7 202313
8 202130
9 20207
10 201753
11 201532
12 201531
13 201412
14 201321
15 201348
16 201360
17 201010
18 201040
19 200559
20 200513

About Sung‐Kwon Moon

Sung‐Kwon Moon is a scholar working on Cancer Research, Molecular Biology, Pharmacology, Aging and Oncology, having authored 148 papers that have together received 4.1k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (19 papers), Genomics, phytochemicals, and oxidative stress (16 papers), Cancer-related Molecular Pathways (13 papers), Natural product bioactivities and synthesis (12 papers), NF-κB Signaling Pathways (11 papers), Ubiquitin and proteasome pathways (8 papers), Protease and Inhibitor Mechanisms (8 papers) and Urinary and Genital Oncology Studies (8 papers). The work is most often cited by research in Cancer Research (917 citations), Biochemistry (217 citations), Toxicology (108 citations), Molecular Biology (2.2k citations) and Pharmacology (215 citations). Sung‐Kwon Moon has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Wun‐Jae Kim, Yung Hyun Choi, Cheorl‐Ho Kim, Gi‐Young Kim, Seok Joong Yun, Byung‐Yoon Cha, Eo‐Jin Lee, Pildu Jeong, Beob-Yi Lee and Se-Jung Lee. Their work appears in journals such as Oncology Reports, International Journal of Oncology, Toxicology in Vitro, PLoS ONE and Journal of Korean Medical Science.

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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