Gyda Beeson
Impact in
- Geriatrics and Gerontology top 5%
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Mitochondrial Function and Pathology 9
- Metabolomics and Mass Spectrometry Studies 3
- ATP Synthase and ATPases Research 3
- Sphingolipid Metabolism and Signaling 3
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- Adipose Tissue and Metabolism 3
- Co-authors
- Craig C. Beeson (19 shared papers)Rick G. Schnellmann (7 shared papers)Marcelo R. Vargas (2 shared papers)Mariana Pehar (2 shared papers)Lauren Wills (3 shared papers)Brooke J. Damon (2 shared papers)Ying Mei (1 shared paper)Gary Hardiman (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Cell Reports (2 papers)Analytical Biochemistry (2 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesFranceRussia
In The Last Decade
Gyda Beeson
29 papers receiving 1.3k citations
Gyda Beeson's Hit Papers
Peers
Comparison fields: 5 of 104
- Geriatrics and Gerontology 41
- Cancer Research 138
- Molecular Biology 677
- Clinical Biochemistry 59
- Aging 13
Countries citing papers authored by Gyda Beeson
This map shows the geographic impact of Gyda Beeson'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 Gyda Beeson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyda Beeson more than expected).
Fields of papers citing papers by Gyda Beeson
This network shows the impact of papers produced by Gyda Beeson. 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 Gyda Beeson. The network helps show where Gyda Beeson may publish in the future.
Co-authors
The 25 scholars most cited alongside Gyda Beeson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human cardiac organoids for the modelling of myocardial infarction and drug cardiotoxicity Hit paper breakdown → | 2020 | 311 |
| 2 | 2010 | 115 | |
| 3 | 2019 | 84 | |
| 4 | 2012 | 78 | |
| 5 | 2016 | 77 | |
| 6 | 2012 | 76 | |
| 7 | 2021 | 62 | |
| 8 | 2013 | 58 | |
| 9 | 2012 | 44 | |
| 10 | 2021 | 41 | |
| 11 | 2014 | 39 | |
| 12 | 2014 | 38 | |
| 13 | 2018 | 37 | |
| 14 | 2019 | 33 | |
| 15 | 2015 | 26 | |
| 16 | 2020 | 26 | |
| 17 | 2020 | 23 | |
| 18 | 2013 | 19 | |
| 19 | 2021 | 18 | |
| 20 | 2012 | 14 |
About Gyda Beeson
Gyda Beeson is a scholar working on Molecular Biology, Physiology, Immunology, Pathology and Forensic Medicine and Clinical Biochemistry, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Metabolism and Genetic Disorders (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cardiac Ischemia and Reperfusion (3 papers), ATP Synthase and ATPases Research (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Adipose Tissue and Metabolism (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Geriatrics and Gerontology (41 citations), Cancer Research (138 citations), Molecular Biology (677 citations), Clinical Biochemistry (59 citations) and Aging (13 citations). Gyda Beeson has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Craig C. Beeson, Rick G. Schnellmann, Marcelo R. Vargas, Mariana Pehar, Lauren Wills, Brooke J. Damon, Ying Mei, Gary Hardiman, Jia Jia and Hai Yao. Their work appears in journals such as Journal of Biological Chemistry, Cell Reports, Analytical Biochemistry, Journal of Pharmacology and Experimental Therapeutics and Nature Communications.
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.