Irene K. Moore

7.1k total citations · 4 hit papers
19 papers, 5.3k citations indexed

About

Irene K. Moore is a scholar working on Molecular Biology, Physiology and Plant Science. According to data from OpenAlex, Irene K. Moore has authored 19 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Physiology and 4 papers in Plant Science. Recurrent topics in Irene K. Moore's work include Adipose Tissue and Metabolism (9 papers), Genomics and Chromatin Dynamics (9 papers) and Metabolism, Diabetes, and Cancer (7 papers). Irene K. Moore is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Genomics and Chromatin Dynamics (9 papers) and Metabolism, Diabetes, and Cancer (7 papers). Irene K. Moore collaborates with scholars based in United States, Israel and Canada. Irene K. Moore's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Irene K. Moore

19 papers receiving 5.2k citations

Hit Papers

A genomic code for nucleosome positioning 2001 2026 2009 2017 2006 2008 2001 2001 250 500 750 1000

Peers

Irene K. Moore
Comparison fields: 5 of 115
  • Molecular Biology 4.0k
  • Physiology 1.5k
  • Epidemiology 847
  • Plant Science 467
  • Surgery 417
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Citations per field, relative to Irene K. Moore
Irene K. Moore · 1×
Citations per year, relative to Irene K. Moore
Irene K. Moore · 1×

Countries citing papers authored by Irene K. Moore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

19 of 19 papers shown
# Work Indexed citations
1 14
2 140
3 108
4 339
5
The DNA-encoded nucleosome organization of a eukaryotic genome breakdown →
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 positioning breakdown →
1134
12
A genomic code for nucleosome
18
13 135
14
Prevention of fat-induced insulin resistance by salicylate breakdown →
574
15
Tissue-specific overexpression of lipoprotein lipase causes tissue-specific insulin resistance breakdown →
593
16 59
17 446
18 9
19 5

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.

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