Daniel Meley
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Epidemiology top 2%
- Autophagy in Disease and Therapy
Papers in ⓘ
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- Cell death mechanisms and regulation 2
- Metabolism, Diabetes, and Cancer 1
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- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Co-authors
- Patrice Codogno (4 shared papers)Jean‐Luc Perfettini (1 shared paper)Patricia Boya (1 shared paper)Tamotsu Yoshimori (1 shared paper)Guido Kroemer (1 shared paper)Didier Métivier (1 shared paper)Nathanaël Larochette (1 shared paper)Rosa A. González‐Polo (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Journal of Translational Medicine (1 paper)The Journal of Immunology (1 paper)Cell Structure and Function (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- FranceMoroccoUnited Kingdom
In The Last Decade
Daniel Meley
12 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Physiology 231
- Epidemiology 1.4k
- Geriatrics and Gerontology 108
- Cell Biology 346
- Molecular Biology 1.0k
Countries citing papers authored by Daniel Meley
This map shows the geographic impact of Daniel Meley'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 Daniel Meley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Meley more than expected).
Fields of papers citing papers by Daniel Meley
This network shows the impact of papers produced by Daniel Meley. 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 Daniel Meley. The network helps show where Daniel Meley may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Meley, 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 | Inhibition of Macroautophagy Triggers Apoptosis Hit paper breakdown → | 2005 | 1385 |
| 2 | 2006 | 392 | |
| 3 | 2002 | 61 | |
| 4 | 2010 | 48 | |
| 5 | 2014 | 31 | |
| 6 | 2014 | 27 | |
| 7 | 2016 | 19 | |
| 8 | 2016 | 16 | |
| 9 | 2017 | 12 | |
| 10 | [PI3 kinases and the control of autophagia]. | 2006 | 6 |
| 11 | 2013 | 5 | |
| 12 | 2024 | 1 |
About Daniel Meley
Daniel Meley is a scholar working on Molecular Biology, Immunology, Epidemiology, Surgery and Cancer Research, having authored 12 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Autophagy in Disease and Therapy (4 papers), Pancreatic function and diabetes (2 papers), Cell death mechanisms and regulation (2 papers), MicroRNA in disease regulation (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Physiology (231 citations), Epidemiology (1.4k citations), Geriatrics and Gerontology (108 citations), Cell Biology (346 citations) and Molecular Biology (1.0k citations). Daniel Meley has collaborated with scholars based in France, Morocco and United Kingdom. Frequent co-authors include Patrice Codogno, Jean‐Luc Perfettini, Patricia Boya, Tamotsu Yoshimori, Guido Kroemer, Didier Métivier, Nathanaël Larochette, Rosa A. González‐Polo, Gérard Pierron and Noëlia Casares. Their work appears in journals such as Frontiers in Immunology, Journal of Translational Medicine, The Journal of Immunology, Cell Structure and Function and Cell Death and Disease.
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.