Matthew Redmann
Impact in
- Aging top 10%
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
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- Sirtuins and Resveratrol in Medicine 4
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- Autophagy in Disease and Therapy 9
- Co-authors
- Victor M. Darley-Usmar (13 shared papers)Jianhua Zhang (11 shared papers)Matthew B. Dodson (5 shared papers)Willayat Yousuf Wani (7 shared papers)Xiaosen Ouyang (8 shared papers)Gloria A. Benavides (8 shared papers)Michelle Smith Johnson (5 shared papers)Namakkal Soorappan Rajasekaran (1 shared paper)
- Journals
- Redox Biology (3 papers)Autophagy (2 papers)Free Radical Biology and Medicine (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)ACS Chemical Biology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Matthew Redmann
15 papers receiving 959 citations
Peers
Comparison fields: 5 of 90
- Aging 29
- Geriatrics and Gerontology 52
- Epidemiology 364
- Physiology 48
- Neurology 108
Countries citing papers authored by Matthew Redmann
This map shows the geographic impact of Matthew Redmann'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 Matthew Redmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Redmann more than expected).
Fields of papers citing papers by Matthew Redmann
This network shows the impact of papers produced by Matthew Redmann. 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 Matthew Redmann. The network helps show where Matthew Redmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Redmann, 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 | 2016 | 218 | |
| 2 | 2015 | 170 | |
| 3 | 2014 | 123 | |
| 4 | 2017 | 80 | |
| 5 | 2016 | 79 | |
| 6 | 2017 | 72 | |
| 7 | 2013 | 53 | |
| 8 | 2014 | 43 | |
| 9 | 2018 | 42 | |
| 10 | 2017 | 35 | |
| 11 | 2018 | 31 | |
| 12 | 2020 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2023 | 4 | |
| 15 | 2013 | 1 |
About Matthew Redmann
Matthew Redmann is a scholar working on Geriatrics and Gerontology, Epidemiology, Molecular Biology, Cell Biology and Genetics, having authored 15 papers that have together received 969 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Mitochondrial Function and Pathology (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), Lysosomal Storage Disorders Research (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Glioma Diagnosis and Treatment (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Coenzyme Q10 studies and effects (1 paper). The work is most often cited by research in Aging (29 citations), Geriatrics and Gerontology (52 citations), Epidemiology (364 citations), Physiology (48 citations) and Neurology (108 citations). Matthew Redmann has collaborated with scholars based in United States and France. Frequent co-authors include Victor M. Darley-Usmar, Jianhua Zhang, Matthew B. Dodson, Willayat Yousuf Wani, Xiaosen Ouyang, Gloria A. Benavides, Michelle Smith Johnson, Namakkal Soorappan Rajasekaran, Saranya Ravi and Stephen H. Barnes. Their work appears in journals such as Redox Biology, Autophagy, Free Radical Biology and Medicine, The International Journal of Biochemistry & Cell Biology and ACS Chemical Biology.
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.