Sona Kang

3.2k citations
40 papers · 2.5k · h-index 23

Impact in

  • Physiology top 2%
    • Adipose Tissue and Metabolism
    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • Bone Metabolism and Diseases

Papers in

    • Epigenetics and DNA Methylation 7
    • Metabolism, Diabetes, and Cancer 5
    • Wnt/β-catenin signaling in development and cancer 4
    • Cancer-related gene regulation 3
    • Adipose Tissue and Metabolism 22

Sona Kang

39 papers receiving 2.5k citations

Peers

Sona Kang
Comparison fields: 5 of 108
  • Physiology 938
  • Molecular Biology 1.4k
  • Biochemistry 129
  • Epidemiology 613
  • Cancer Research 262
Replace Kazuishi Kubota with:
Kazuishi Kubota Japan
Weiyi Liu China
Toshiya Tanaka Japan
Niven R. Narain United States
Divya Vats Switzerland
Zheng‐Gen Jin United States
Satoshi Ishii Japan
P H Pekala United States
Mireille Cormont France
Donghai Wu China
Sona Kang relative to Kazuishi Kubota Japan Kazuishi Kubota's profile →
Citations per field
00.5×
Kazuishi Kubota · 1×
Citations per year

Countries citing papers authored by Sona Kang

Since Specialization
Citations

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

Fields of papers citing papers by Sona Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007339
2 2004300
3 2014225
4 2016149
5 2007145
6 2005128
7 2005117
8 2016111
9 2012108
10 2013106
11 2010102
12 201798
13 201663
14 202063
15 200857
16 201456
17 202041
18 201940
19 201336
20 201430

About Sona Kang

Sona Kang is a scholar working on Molecular Biology, Physiology, Epidemiology, Biochemistry and Immunology, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (22 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Epigenetics and DNA Methylation (7 papers), Lipid metabolism and biosynthesis (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Muscle metabolism and nutrition (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Physiology (938 citations), Molecular Biology (1.4k citations), Biochemistry (129 citations), Epidemiology (613 citations) and Cancer Research (262 citations). Sona Kang has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Ormond A. MacDougald, Evan D. Rosen, Isabelle Gerin, Christina N. Bennett, Kenneth Longo, Kurt D. Hankenson, Xingxing Kong, Wendy S. Wright, Shian-Huey Chiang and Xiao Han. Their work appears in journals such as Diabetes, Journal of Biological Chemistry, Journal of Cellular Biochemistry, Nature Communications and Cell Reports.

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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