Karen Inouye
- Molecular Biology top 2%
- Epidemiology top 1%
- Physiology top 0.5%
- Immunology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Hang ShiJeffrey S. FlierMaia V. KokoevaHuali YinIphigenia TzameliGökhan S. HotamışlıgilAna Paula ArrudaGüneş Parlakgül
- Topics
- Adipose Tissue and Metabolism (13 papers)Regulation of Appetite and Obesity (9 papers)Adipokines, Inflammation, and Metabolic Diseases (9 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Karen Inouye
39 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 2.5k
- Epidemiology 2.3k
- Physiology 2.2k
- Immunology 1.3k
- Endocrinology, Diabetes and Metabolism 744
Countries citing papers authored by Karen Inouye
This map shows the geographic impact of Karen Inouye'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 Karen Inouye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Inouye more than expected).
Fields of papers citing papers by Karen Inouye
This network shows the impact of papers produced by Karen Inouye. 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 Karen Inouye. The network helps show where Karen Inouye may publish in the future.
Co-authorship network of co-authors of Karen Inouye
This figure shows the co-authorship network connecting the top 25 collaborators of Karen Inouye. A scholar is included among the top collaborators of Karen Inouye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karen Inouye. Karen Inouye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 65 | |
| 5 | 13 | |
| 6 | 139 | |
| 7 | 73 | |
| 8 | Chronic enrichment of hepatic endoplasmic reticulum–mitochondria contact leads to mitochondrial dysfunction in obesitybreakdown → | 559 |
| 9 | 214 | |
| 10 | 180 | |
| 11 | 113 | |
| 12 | Novel role of PKR in inflammasome activation and HMGB1 releasebreakdown → | 632 |
| 13 | 8 | |
| 14 | 189 | |
| 15 | TLR4 links innate immunity and fatty acid–induced insulin resistancebreakdown → | 2863 |
| 16 | 35 | |
| 17 | 50 | |
| 18 | 20 | |
| 19 | 80 | |
| 20 | Mutant insulin syndrome: identification of two families with [LeuA3]insulin and determination of its biological activity. | 5 |
About Karen Inouye
Karen Inouye is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 39 papers that have together received 6.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Regulation of Appetite and Obesity (9 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). The work is most often cited by research in Physiology (2.2k citations), Endocrine and Autonomic Systems (489 citations) and Epidemiology (2.3k citations). Karen Inouye has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Hang Shi, Jeffrey S. Flier, Maia V. Kokoeva, Huali Yin, Iphigenia Tzameli, Gökhan S. Hotamışlıgil, Ana Paula Arruda, Güneş Parlakgül, Stephen G. Matthews and Owen Chan. Their work appears in journals such as Nature, Journal of Clinical Investigation and Nature Medicine.
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.