Sona Kang
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Bone Metabolism and Diseases
Papers in
- Physiology 22
- Adipose Tissue and Metabolism 21
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- Lipid metabolism and biosynthesis 6
- Co-authors
- Ormond A. MacDougald (8 shared papers)Evan D. Rosen (12 shared papers)Isabelle Gerin (3 shared papers)Christina N. Bennett (2 shared papers)Kenneth A. Longo (3 shared papers)Kurt David Hankenson (1 shared paper)Xingxing Kong (4 shared papers)Shian-Huey Chiang (2 shared papers)
- Journals
- Diabetes (8 papers)Journal of Biological Chemistry (5 papers)iScience (1 paper)Frontiers in Genetics (1 paper)Molecular Endocrinology (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Sona Kang
41 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 107
- Physiology 891
- Molecular Biology 1.3k
- Epidemiology 589
- Cancer Research 235
- Biochemistry 118
Countries citing papers authored by Sona Kang
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
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.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 358 | |
| 2 | 2004 | 312 | |
| 3 | 2014 | 259 | |
| 4 | 2016 | 157 | |
| 5 | 2007 | 147 | |
| 6 | 2005 | 140 | |
| 7 | 2016 | 119 | |
| 8 | 2005 | 115 | |
| 9 | 2013 | 112 | |
| 10 | 2010 | 110 | |
| 11 | 2017 | 110 | |
| 12 | 2012 | 109 | |
| 13 | 2020 | 68 | |
| 14 | 2016 | 67 | |
| 15 | 2014 | 63 | |
| 16 | 2008 | 60 | |
| 17 | 2019 | 45 | |
| 18 | 2020 | 45 | |
| 19 | 2013 | 38 | |
| 20 | 2021 | 35 |
About Sona Kang
Sona Kang is a scholar working on Physiology, Biochemistry, Epidemiology, Molecular Biology and Immunology, having authored 42 papers that have together received 2.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (21 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers), Epigenetics and DNA Methylation (8 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 (891 citations), Molecular Biology (1.3k citations), Epidemiology (589 citations), Cancer Research (235 citations) and Biochemistry (118 citations). Sona Kang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Ormond A. MacDougald, Evan D. Rosen, Isabelle Gerin, Christina N. Bennett, Kenneth A. Longo, Kurt David Hankenson, Xingxing Kong, Shian-Huey Chiang, Wendy S. Wright and Xiao Han. Their work appears in journals such as Diabetes, Journal of Biological Chemistry, iScience, Frontiers in Genetics and Molecular Endocrinology.
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.