Daniel Meley
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Epidemiology top 1%
- Autophagy in Disease and Therapy
Papers in
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- Cell death mechanisms and regulation 2
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- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 3
- Co-authors
- Patrice Codogno (4 shared papers)Nathanaël Larochette (1 shared paper)Guido Kroemer (1 shared paper)Noëlia Casares (1 shared paper)Tamotsu Yoshimori (1 shared paper)Philippe Dessen (1 shared paper)Sylvie Souquère (1 shared paper)Gérard Pierron (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)PLoS ONE (1 paper)International Immunology (1 paper)Cell Structure and Function (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- FranceUnited KingdomMorocco
In The Last Decade
Daniel Meley
13 papers receiving 2.0k citations
Daniel Meley's Hit Papers
Peers
Comparison fields: 5 of 101
- Physiology 217
- Epidemiology 1.4k
- Geriatrics and Gerontology 106
- Cell Biology 336
- Molecular Biology 963
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 | 1429 |
| 2 | 2006 | 395 | |
| 3 | 2002 | 64 | |
| 4 | 2010 | 51 | |
| 5 | 2014 | 32 | |
| 6 | 2014 | 28 | |
| 7 | 2016 | 20 | |
| 8 | 2016 | 17 | |
| 9 | 2017 | 12 | |
| 10 | [PI3 kinases and the control of autophagia]. | 2006 | 6 |
| 11 | 2013 | 5 | |
| 12 | 2024 | 2 | |
| 13 | 2012 | 1 |
About Daniel Meley
Daniel Meley is a scholar working on Molecular Biology, Immunology, Epidemiology, Surgery and Cancer Research, having authored 13 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers), Autophagy in Disease and Therapy (4 papers), Immune Cell Function and Interaction (3 papers), Cell death mechanisms and regulation (2 papers), Pancreatic function and diabetes (2 papers), Cancer Mechanisms and Therapy (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Physiology (217 citations), Epidemiology (1.4k citations), Geriatrics and Gerontology (106 citations), Cell Biology (336 citations) and Molecular Biology (963 citations). Daniel Meley has collaborated with scholars based in France, United Kingdom and Morocco. Frequent co-authors include Patrice Codogno, Nathanaël Larochette, Guido Kroemer, Noëlia Casares, Tamotsu Yoshimori, Philippe Dessen, Sylvie Souquère, Gérard Pierron, Patricia Boya and Rosa A. González‐Polo. Their work appears in journals such as Frontiers in Immunology, PLoS ONE, International Immunology, Cell Structure and Function and The Journal of Immunology.
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.