Irene K. Moore
- Molecular Biology top 1%
- Physiology top 1%
- Epidemiology top 5%
- Plant Science top 5%
- Surgery top 10%
- Co-authors
- Yair FieldYvonne Fondufe‐MittendorfJonathan WidomEran SegalGerald I. ShulmanN. KaplanLingyi ChenMarc Pypaert
- Topics
- Adipose Tissue and Metabolism (9 papers)Genomics and Chromatin Dynamics (9 papers)Metabolism, Diabetes, and Cancer (7 papers)
- Cited by
- Molecular BiologyPhysiologyAging
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Irene K. Moore
19 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 4.0k
- Physiology 1.5k
- Epidemiology 847
- Plant Science 467
- Surgery 417
Countries citing papers authored by Irene K. Moore
This map shows the geographic impact of Irene K. Moore'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 Irene K. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene K. Moore more than expected).
Fields of papers citing papers by Irene K. Moore
This network shows the impact of papers produced by Irene K. Moore. 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 Irene K. Moore. The network helps show where Irene K. Moore may publish in the future.
Co-authorship network of co-authors of Irene K. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Irene K. Moore. A scholar is included among the top collaborators of Irene K. Moore 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 Irene K. Moore. Irene K. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 140 | |
| 3 | 108 | |
| 4 | 339 | |
| 5 | The DNA-encoded nucleosome organization of a eukaryotic genomebreakdown → | 908 |
| 6 | 81 | |
| 7 | 161 | |
| 8 | N-3 Fatty Acids Preserve Insulin Sensitivity In Vivo in a PPARα-Dependent Manner | 2 |
| 9 | 427 | |
| 10 | 192 | |
| 11 | A genomic code for nucleosome positioningbreakdown → | 1134 |
| 12 | A genomic code for nucleosome | 18 |
| 13 | 135 | |
| 14 | Prevention of fat-induced insulin resistance by salicylatebreakdown → | 574 |
| 15 | Tissue-specific overexpression of lipoprotein lipase causes tissue-specific insulin resistancebreakdown → | 593 |
| 16 | 59 | |
| 17 | 446 | |
| 18 | 9 | |
| 19 | 5 |
About Irene K. Moore
Irene K. Moore is a scholar working on Physiology, Molecular Biology and Biochemistry, having authored 19 papers that have together received 5.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Genomics and Chromatin Dynamics (9 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Physiology (1.5k citations) and Aging (93 citations). Irene K. Moore has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Yair Field, Yvonne Fondufe‐Mittendorf, Jonathan Widom, Eran Segal, Gerald I. Shulman, N. Kaplan, Lingyi Chen, Marc Pypaert, Jason K. Kim and Jonathan J. Fillmore. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.