Rina Yu
- Sensory Systems top 0.5%
- Ion Channels and Receptors 10
- Biochemistry top 0.5%
- Physiology top 0.5%
- Adipose Tissue and Metabolism 52
-
- Regulation of Appetite and Obesity 11
- Nutrition and Dietetics top 1%
-
- Adipokines, Inflammation, and Metabolic Diseases 56
-
- Peroxisome Proliferator-Activated Receptors 16
- Genomics, phytochemicals, and oxidative stress 7
-
- Immune Cell Function and Interaction 11
-
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Co-authors
- Teruo KawadaHye Soon ParkJung Yul ParkTsuyoshi GotoChu-Sook KimIn‐Seob HanJi‐Hye KangNobuyuki Takahashi
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Rina Yu
136 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Sensory Systems 513
- Biochemistry 538
- Physiology 2.2k
- Endocrine and Autonomic Systems 419
- Nutrition and Dietetics 883
Countries citing papers authored by Rina Yu
This map shows the geographic impact of Rina Yu'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 Rina Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rina Yu more than expected).
Fields of papers citing papers by Rina Yu
This network shows the impact of papers produced by Rina Yu. 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 Rina Yu. The network helps show where Rina Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rina Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 5 | |
| 4 | 2017 | 19 | |
| 5 | 2016 | 41 | |
| 6 | 2015 | 60 | |
| 7 | 2015 | 98 | |
| 8 | 2014 | 41 | |
| 9 | 2013 | 16 | |
| 10 | 2013 | 250 | |
| 11 | 2013 | 32 | |
| 12 | 2012 | 32 | |
| 13 | 2009 | 34 | |
| 14 | [P10-192] Mesenteric Adipose Tissue-derived MCP-l Plays a Crucial Role in Adipose Tissue Macrophage Migration and Activation in Obese Mice | 2006 | 1 |
| 15 | 2004 | 45 | |
| 16 | Relationship of obesity and visceral adiposity with serum concentrations of CRP, TNF-α and IL-6breakdown → | 2004 | 774 |
| 17 | 2004 | 27 | |
| 18 | 2003 | 5 | |
| 19 | 1997 | 80 | |
| 20 | Biosynthesis of L - Ascorbic Acid by Microorganisms in Kimchi Fermentation Process | 1996 | 3 |
About Rina Yu
Rina Yu is a scholar working on Physiology, Sensory Systems and Epidemiology, having authored 138 papers that have together received 6.9k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (56 papers), Adipose Tissue and Metabolism (52 papers), Peroxisome Proliferator-Activated Receptors (16 papers), Immune Cell Function and Interaction (11 papers), Regulation of Appetite and Obesity (11 papers), Ion Channels and Receptors (10 papers), Genomics, phytochemicals, and oxidative stress (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Sensory Systems (513 citations), Biochemistry (538 citations) and Physiology (2.2k citations). Rina Yu has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Teruo Kawada, Hye Soon Park, Jung Yul Park, Tsuyoshi Goto, Chu-Sook Kim, In‐Seob Han, Ji‐Hye Kang, Nobuyuki Takahashi, Mi‐Kyung Sung and Hye‐Seon Choi. Their work appears in journals such as FEBS Letters, Obesity, Cancer Letters, Biochemical and Biophysical Research Communications and Molecular Nutrition & Food Research.
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.