Danielle Murashige
Impact in
- Physiology top 5%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
- Clinical Biochemistry top 5%
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- Mitochondrial Function and Pathology 2
- Protein Degradation and Inhibitors 1
- Protein Kinase Regulation and GTPase Signaling 1
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- Adipose Tissue and Metabolism 3
- Co-authors
- Zoltàn Arany (5 shared papers)Michael D. Neinast (3 shared papers)Cholsoon Jang (3 shared papers)Joshua D. Rabinowitz (3 shared papers)Sean J. Humphrey (2 shared papers)David E. James (2 shared papers)Guang Yang (2 shared papers)Alexis J. Cowan (1 shared paper)
- Journals
- Cell Metabolism (1 paper)The EMBO Journal (1 paper)Frontiers in Cardiovascular Medicine (1 paper)Annual Review of Physiology (1 paper)Science (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Danielle Murashige
7 papers receiving 1.5k citations
Danielle Murashige's Hit Papers
Peers
Comparison fields: 5 of 104
- Physiology 510
- Clinical Biochemistry 99
- Molecular Biology 891
- Cardiology and Cardiovascular Medicine 263
- Cancer Research 162
Countries citing papers authored by Danielle Murashige
This map shows the geographic impact of Danielle Murashige'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 Danielle Murashige with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Murashige more than expected).
Fields of papers citing papers by Danielle Murashige
This network shows the impact of papers produced by Danielle Murashige. 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 Danielle Murashige. The network helps show where Danielle Murashige may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Murashige, 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 | Branched Chain Amino Acids Hit paper breakdown → | 2018 | 479 |
| 2 | Comprehensive quantification of fuel use by the failing and nonfailing human heart Hit paper breakdown → | 2020 | 367 |
| 3 | Quantitative Analysis of the Whole-Body Metabolic Fate of Branched-Chain Amino Acids Hit paper breakdown → | 2018 | 342 |
| 4 | 2015 | 237 | |
| 5 | 2022 | 57 | |
| 6 | 2018 | 25 | |
| 7 | 2020 | 8 |
About Danielle Murashige
Danielle Murashige is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Surgery and Epidemiology, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (3 papers), Adipose Tissue and Metabolism (3 papers), Mitochondrial Function and Pathology (2 papers), Mast cells and histamine (1 paper), Protein Degradation and Inhibitors (1 paper), Mechanical Circulatory Support Devices (1 paper), Cardiovascular Effects of Exercise (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Physiology (510 citations), Clinical Biochemistry (99 citations), Molecular Biology (891 citations), Cardiology and Cardiovascular Medicine (263 citations) and Cancer Research (162 citations). Danielle Murashige has collaborated with scholars based in United States and Australia. Frequent co-authors include Zoltàn Arany, Michael D. Neinast, Cholsoon Jang, Joshua D. Rabinowitz, Sean J. Humphrey, David E. James, Guang Yang, Alexis J. Cowan, David S. Frankel and Matthew C. Hyman. Their work appears in journals such as Cell Metabolism, The EMBO Journal, Frontiers in Cardiovascular Medicine, Annual Review of Physiology and Science.
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.