Javier Apfeld
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms 17
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine 2
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin 12
- Physiology top 1%
- Spaceflight effects on biology 6
- Adipose Tissue and Metabolism 3
- Dietary Effects on Health 2
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- Neurobiology and Insect Physiology Research 1
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- Autophagy in Disease and Therapy 1
- Co-authors
- Cynthia KenyonWalter FontanaPeter S. DiStefanoGreg O’ConnorRory CurtisNuno Arantes-OliveiraAndrew DillinS. Elizabeth Hulme
- Partner nations
- United StatesSpainCanada
In The Last Decade
Javier Apfeld
23 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Aging 2.0k
- Geriatrics and Gerontology 536
- Endocrine and Autonomic Systems 831
- Physiology 1.6k
- Neuropsychology and Physiological Psychology 37
Countries citing papers authored by Javier Apfeld
This map shows the geographic impact of Javier Apfeld'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 Javier Apfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Apfeld more than expected).
Fields of papers citing papers by Javier Apfeld
This network shows the impact of papers produced by Javier Apfeld. 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 Javier Apfeld. The network helps show where Javier Apfeld may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javier Apfeld, 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 | 2022 | 13 | |
| 2 | 2021 | 6 | |
| 3 | 2020 | 17 | |
| 4 | 2020 | 5 | |
| 5 | 2018 | 70 | |
| 6 | 2016 | 125 | |
| 7 | 2014 | 29 | |
| 8 | 2013 | 160 | |
| 9 | 2009 | 57 | |
| 10 | 2009 | 167 | |
| 11 | 2006 | 68 | |
| 12 | Sirt1 Regulates Insulin Secretion by Repressing UCP2 in Pancreatic b Cells | 2006 | 16 |
| 13 | Sirt1 Regulates Insulin Secretion by Repressing UCP2 in Pancreatic β Cellsbreakdown → | 2005 | 585 |
| 14 | The AMP-activated protein kinase AAK-2 links energy levels and insulin-like signals to lifespan in C. elegansbreakdown → | 2004 | 508 |
| 15 | 2002 | 403 | |
| 16 | aph-1 and pen-2 Are Required for Notch Pathway Signaling, γ-Secretase Cleavage of βAPP, and Presenilin Protein Accumulationbreakdown → | 2002 | 655 |
| 17 | 1999 | 439 | |
| 18 | 1998 | 15 | |
| 19 | 1998 | 280 | |
| 20 | 1995 | 85 |
About Javier Apfeld
Javier Apfeld is a scholar working on Aging, Endocrine and Autonomic Systems, Neuropsychology and Physiological Psychology, Geriatrics and Gerontology and Physiology, having authored 23 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (17 papers), Circadian rhythm and melatonin (12 papers), Spaceflight effects on biology (6 papers), Adipose Tissue and Metabolism (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Dietary Effects on Health (2 papers), Neurobiology and Insect Physiology Research (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Aging (2.0k citations), Geriatrics and Gerontology (536 citations), Endocrine and Autonomic Systems (831 citations), Physiology (1.6k citations) and Neuropsychology and Physiological Psychology (37 citations). Javier Apfeld has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Cynthia Kenyon, Walter Fontana, Peter S. DiStefano, Greg O’Connor, Rory Curtis, Nuno Arantes-Oliveira, Andrew Dillin, S. Elizabeth Hulme, Sergey S. Shevkoplyas and George M. Whitesides. Their work appears in journals such as Nature, PLoS Biology, eLife, Lab on a Chip and Nature Methods.
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.