Matthew Redmann
Impact in
- Aging top 10%
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Mitochondrial Function and Pathology 5
- Genomics, phytochemicals, and oxidative stress 2
- Signaling Pathways in Disease 1
-
- Autophagy in Disease and Therapy 9
- Co-authors
- Victor Darley‐Usmar (13 shared papers)Jianhua Zhang (11 shared papers)Matthew Dodson (5 shared papers)Willayat Yousuf Wani (7 shared papers)Xiaosen Ouyang (8 shared papers)Gloria A. Benavides (8 shared papers)Michelle S. Johnson (5 shared papers)Namakkal S. Rajasekaran (1 shared paper)
- Journals
- Redox Biology (3 papers)Autophagy (2 papers)Acta Pharmaceutica Sinica B (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Molecular Brain (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Matthew Redmann
16 papers receiving 906 citations
Peers
Comparison fields: 5 of 91
- Aging 25
- Geriatrics and Gerontology 52
- Epidemiology 380
- Physiology 49
- Molecular Biology 519
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 | 203 | |
| 2 | 2015 | 163 | |
| 3 | 2014 | 118 | |
| 4 | 2017 | 78 | |
| 5 | 2016 | 75 | |
| 6 | 2017 | 63 | |
| 7 | 2013 | 51 | |
| 8 | 2018 | 39 | |
| 9 | 2014 | 39 | |
| 10 | 2017 | 32 | |
| 11 | 2018 | 28 | |
| 12 | 2020 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2023 | 2 | |
| 15 | [Initial experiences with high-dosage afterloading short-term therapy combined with hyperthermia in non-operated cervix cancer]. | 1989 | 2 |
| 16 | 2013 | 1 |
About Matthew Redmann
Matthew Redmann is a scholar working on Molecular Biology, Epidemiology, Geriatrics and Gerontology, Cell Biology and Physiology, having authored 16 papers that have together received 911 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), Genomics, phytochemicals, and oxidative stress (2 papers), Glioma Diagnosis and Treatment (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Aging (25 citations), Geriatrics and Gerontology (52 citations), Epidemiology (380 citations), Physiology (49 citations) and Molecular Biology (519 citations). Matthew Redmann has collaborated with scholars based in United States and France. Frequent co-authors include Victor Darley‐Usmar, Jianhua Zhang, Matthew Dodson, Willayat Yousuf Wani, Xiaosen Ouyang, Gloria A. Benavides, Michelle S. Johnson, Namakkal S. Rajasekaran, Saranya Ravi and Michaël Boyer‐Guittaut. Their work appears in journals such as Redox Biology, Autophagy, Acta Pharmaceutica Sinica B, The International Journal of Biochemistry & Cell Biology and Molecular Brain.
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.