Edward Fielder
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 5%
Papers in
-
- Telomeres, Telomerase, and Senescence 6
- Alzheimer's disease research and treatments 1
-
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
- Mitochondrial Function and Pathology 1
- Co-authors
- João F. Passos (4 shared papers)James Chapman (2 shared papers)Thomas von Zglinicki (7 shared papers)Diana Jurk (4 shared papers)Satomi Miwa (6 shared papers)Susan Short (2 shared papers)Alfonso Ang (1 shared paper)Carol M. Mangione (1 shared paper)
- Journals
- Aging Cell (2 papers)Neuropathology and Applied Neurobiology (1 paper)Nature Communications (1 paper)Journal of Alzheimer s Disease (1 paper)FEBS Letters (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Edward Fielder
12 papers receiving 855 citations
Peers
Comparison fields: 5 of 89
- Aging 100
- Geriatrics and Gerontology 47
- Physiology 332
- Health 91
- Neurology 59
Countries citing papers authored by Edward Fielder
This map shows the geographic impact of Edward Fielder'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 Edward Fielder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Fielder more than expected).
Fields of papers citing papers by Edward Fielder
This network shows the impact of papers produced by Edward Fielder. 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 Edward Fielder. The network helps show where Edward Fielder may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Fielder, 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 | 2019 | 243 | |
| 2 | 2008 | 159 | |
| 3 | 2019 | 147 | |
| 4 | 2017 | 99 | |
| 5 | 2020 | 78 | |
| 6 | 2018 | 61 | |
| 7 | 2020 | 55 | |
| 8 | 2019 | 25 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | Tissue microarray in the quantification of hyper-phosphorylated tau, amyloid-beta and alpha-synuclein | 2013 | 1 |
| 12 | 2024 | 1 |
About Edward Fielder
Edward Fielder is a scholar working on Physiology, Molecular Biology, Immunology, Endocrine and Autonomic Systems and Genetics, having authored 12 papers that have together received 873 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (6 papers), Circadian rhythm and melatonin (2 papers), Alzheimer's disease research and treatments (1 paper), Epigenetics and DNA Methylation (1 paper), Gene expression and cancer classification (1 paper), Radiation Therapy and Dosimetry (1 paper), Immunotherapy and Immune Responses (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Aging (100 citations), Geriatrics and Gerontology (47 citations), Physiology (332 citations), Health (91 citations) and Neurology (59 citations). Edward Fielder has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include João F. Passos, James Chapman, Thomas von Zglinicki, Diana Jurk, Satomi Miwa, Susan Short, Alfonso Ang, Carol M. Mangione, Michael Rodríguez and MarySue V. Heilemann. Their work appears in journals such as Aging Cell, Neuropathology and Applied Neurobiology, Nature Communications, Journal of Alzheimer s Disease and FEBS Letters.
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.