Gina M. Warner
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine 6
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism 8
- Adenosine and Purinergic Signaling 3
- Biological Psychiatry top 5%
- Aging top 5%
- Nephrology top 5%
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- Renal and related cancers 4
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- Eicosanoids and Hypertension Pharmacology 4
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- Cholesterol and Lipid Metabolism 4
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- Renal and Vascular Pathologies 4
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- Fatty Acid Research and Health 4
- Co-authors
- Eduardo N. ChiniClaudia C.S. ChiniMariana G. TarragóJoseph P. GrandeVerónica NinAmrutesh S. PuranikAntônio GalinaCarlos Escande
- Journals
- Cell Metabolism (3 papers)Biochemical and Biophysical Research Communications (3 papers)Kidney International (1 paper)
- Partner nations
- United StatesBrazilUruguay
In The Last Decade
Gina M. Warner
29 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Geriatrics and Gerontology 501
- Physiology 514
- Biological Psychiatry 107
- Aging 74
- Nephrology 166
Countries citing papers authored by Gina M. Warner
This map shows the geographic impact of Gina M. Warner'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 Gina M. Warner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina M. Warner more than expected).
Fields of papers citing papers by Gina M. Warner
This network shows the impact of papers produced by Gina M. Warner. 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 Gina M. Warner. The network helps show where Gina M. Warner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gina M. Warner, 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 | 2024 | 5 | |
| 2 | 2022 | 49 | |
| 3 | 2022 | 13 | |
| 4 | 2022 | 59 | |
| 5 | 2022 | 15 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 60 | |
| 8 | 2020 | 22 | |
| 9 | 2019 | 91 | |
| 10 | 2018 | 271 | |
| 11 | CD38 Dictates Age-Related NAD Decline and Mitochondrial Dysfunction through an SIRT3-Dependent Mechanismbreakdown → | 2016 | 616 |
| 12 | 2015 | 37 | |
| 13 | 2013 | 47 | |
| 14 | 2008 | 20 | |
| 15 | 2005 | 59 | |
| 16 | 2004 | 26 | |
| 17 | 2003 | 31 | |
| 18 | 2000 | 50 | |
| 19 | 1998 | 44 | |
| 20 | 1998 | 37 |
About Gina M. Warner
Gina M. Warner is a scholar working on Physiology, Geriatrics and Gerontology and Biological Psychiatry, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (8 papers), Sirtuins and Resveratrol in Medicine (6 papers), Renal and related cancers (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Cholesterol and Lipid Metabolism (4 papers), Renal and Vascular Pathologies (4 papers), Fatty Acid Research and Health (4 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Geriatrics and Gerontology (501 citations), Physiology (514 citations) and Biological Psychiatry (107 citations). Gina M. Warner has collaborated with scholars based in United States, Brazil and Uruguay. Frequent co-authors include Eduardo N. Chini, Claudia C.S. Chini, Mariana G. Tarragó, Joseph P. Grande, Verónica Nin, Amrutesh S. Puranik, Antônio Galina, Carlos Escande, Joel M. Reid and Juliana Camacho-Pereira. Their work appears in journals such as Cell Metabolism, Biochemical and Biophysical Research Communications and Kidney International.
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.