Hye Lim Noh
- Physiology top 2%
- Adipose Tissue and Metabolism 18
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- Diet, Metabolism, and Disease 6
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
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- Regulation of Appetite and Obesity 4
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases 11
- Rehabilitation top 5%
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- Pancreatic function and diabetes 9
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- Metabolism, Diabetes, and Cancer 5
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- Immune Cell Function and Interaction 3
- Co-authors
- Jason K. KimIra J. GoldbergYun Joong KimTae‐Sik ParkKazue OkajimaShunichi HommaJonathan BuchananE. Dale Abel
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Hye Lim Noh
40 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 112
- Physiology 1.1k
- Endocrinology, Diabetes and Metabolism 445
- Endocrine and Autonomic Systems 176
- Epidemiology 839
- Rehabilitation 157
Countries citing papers authored by Hye Lim Noh
This map shows the geographic impact of Hye Lim Noh'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 Hye Lim Noh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hye Lim Noh more than expected).
Fields of papers citing papers by Hye Lim Noh
This network shows the impact of papers produced by Hye Lim Noh. 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 Hye Lim Noh. The network helps show where Hye Lim Noh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hye Lim Noh, 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 | 2024 | 2 | |
| 2 | 2021 | 14 | |
| 3 | 2021 | 70 | |
| 4 | 2020 | 9 | |
| 5 | 2020 | 142 | |
| 6 | 2020 | 7 | |
| 7 | 2019 | 38 | |
| 8 | 2019 | 18 | |
| 9 | 2019 | 42 | |
| 10 | 2019 | 63 | |
| 11 | 2017 | 64 | |
| 12 | 2017 | 31 | |
| 13 | 2016 | 49 | |
| 14 | 2016 | 117 | |
| 15 | 2015 | 119 | |
| 16 | 2014 | 81 | |
| 17 | 2008 | 14 | |
| 18 | 2008 | 332 | |
| 19 | 2006 | 9 | |
| 20 | 2006 | 40 |
About Hye Lim Noh
Hye Lim Noh is a scholar working on Physiology, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 40 papers that have together received 2.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (18 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Pancreatic function and diabetes (9 papers), Diet, Metabolism, and Disease (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Regulation of Appetite and Obesity (4 papers), Immune Cell Function and Interaction (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Physiology (1.1k citations), Endocrinology, Diabetes and Metabolism (445 citations) and Endocrine and Autonomic Systems (176 citations). Hye Lim Noh has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Jason K. Kim, Ira J. Goldberg, Yun Joong Kim, Tae‐Sik Park, Kazue Okajima, Shunichi Homma, Jonathan Buchanan, E. Dale Abel, Yunying Hu and You-Ree Cho. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.