So Mee Kwon

1.7k citations
29 papers · 892 indexed · h-index 18

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Cancer Genomics and Diagnostics 7
    • MicroRNA in disease regulation 5
    • Cancer, Hypoxia, and Metabolism 3

So Mee Kwon

29 papers receiving 883 citations

Peers

So Mee Kwon
Comparison fields: 5 of 80
  • Cancer Research 337
  • Hepatology 141
  • Aging 19
  • Molecular Biology 510
  • Oncology 199
Replace Zhangqian Chen with:
Zhangqian Chen China
Marcella Sini Italy
Romain Riscal United States
Shengguang Yuan China
Serena De Matteis Italy
Mitsuhiko Abe Japan
Angélique Gougèlet France
Laura Antonucci Italy
Yung-Sheng Chang Taiwan
Insa S. Schroeder Germany
So Mee Kwon relative to Zhangqian Chen China Zhangqian Chen's profile →
Citations per field
00.5×1.5×2.4×
Zhangqian Chen · 1×
Citations per year

Countries citing papers authored by So Mee Kwon

Since Specialization
Citations

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

Fields of papers citing papers by So Mee Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by So Mee Kwon. 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 So Mee Kwon. The network helps show where So Mee Kwon may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202219
3 202220
4 202120
5 202112
6 20213
7 202020
8 202016
9 201914
10 201937
11 201935
12 201768
13 201750
14 201531
15 201551
16 201421
17 201312
18 2012103
19 2010110
20 20104

About So Mee Kwon

So Mee Kwon is a scholar working on Aging, Cancer Research, Molecular Biology, Geriatrics and Gerontology and Hepatology, having authored 29 papers that have together received 892 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer Genomics and Diagnostics (7 papers), Mitochondrial Function and Pathology (6 papers), MicroRNA in disease regulation (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), ATP Synthase and ATPases Research (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Cancer Research (337 citations), Hepatology (141 citations), Aging (19 citations), Molecular Biology (510 citations) and Oncology (199 citations). So Mee Kwon has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Hyun Goo Woo, Gyesoon Yoon, Young‐Kyoung Lee, Seongki Min, Xin Wei Wang, Sun Mi Hong, Snorri S. Thorgeirsson, Young Nyun Park, Jeong Eun Yoo and Byul A Jee. Their work appears in journals such as Hepatology, Journal of Biological Chemistry, Liver International, Carcinogenesis 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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