Didac Carmona‐Gutiérrez
- Molecular Biology top 2%
- Epidemiology top 2%
- Physiology top 2%
- Aging top 0.2%
- Cell Biology top 2%
- Co-authors
- Frank MadeoGuido KroemerTobias EisenbergSabrina BüttnerSebastian J. HoferNadège MinoisChristoph RuckenstuhlMaria A. Bauer
- Topics
- Autophagy in Disease and Therapy (21 papers)Fungal and yeast genetics research (15 papers)Genetics, Aging, and Longevity in Model Organisms (14 papers)
In The Last Decade
Didac Carmona‐Gutiérrez
63 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 3.2k
- Epidemiology 1.1k
- Physiology 954
- Aging 809
- Cell Biology 545
Countries citing papers authored by Didac Carmona‐Gutiérrez
This map shows the geographic impact of Didac Carmona‐Gutiérrez'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 Didac Carmona‐Gutiérrez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didac Carmona‐Gutiérrez more than expected).
Fields of papers citing papers by Didac Carmona‐Gutiérrez
This network shows the impact of papers produced by Didac Carmona‐Gutiérrez. 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 Didac Carmona‐Gutiérrez. The network helps show where Didac Carmona‐Gutiérrez may publish in the future.
Co-authorship network of co-authors of Didac Carmona‐Gutiérrez
This figure shows the co-authorship network connecting the top 25 collaborators of Didac Carmona‐Gutiérrez. A scholar is included among the top collaborators of Didac Carmona‐Gutiérrez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Didac Carmona‐Gutiérrez. Didac Carmona‐Gutiérrez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 60 | |
| 3 | 0 | |
| 4 | Caloric Restriction Mimetics against Age-Associated Disease: Targets, Mechanisms, and Therapeutic Potentialbreakdown → | 432 |
| 5 | 24 | |
| 6 | 9 | |
| 7 | 67 | |
| 8 | 179 | |
| 9 | 38 | |
| 10 | 252 | |
| 11 | 19 | |
| 12 | 106 | |
| 13 | 390 | |
| 14 | The mitochondrial ribosomal of the large subunit, afo1p, determines cellular longevity through mitochondrial back-signaling via TOR1 | 1 |
| 15 | 93 | |
| 16 | 14 | |
| 17 | 119 | |
| 18 | 70 | |
| 19 | 65 | |
| 20 | 27 |
About Didac Carmona‐Gutiérrez
Didac Carmona‐Gutiérrez is a scholar working on Aging, Geriatrics and Gerontology and Pharmacology, having authored 66 papers that have together received 5.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (21 papers), Fungal and yeast genetics research (15 papers) and Genetics, Aging, and Longevity in Model Organisms (14 papers). The work is most often cited by research in Aging (809 citations), Geriatrics and Gerontology (243 citations) and Molecular Biology (3.2k citations). Didac Carmona‐Gutiérrez has collaborated with scholars based in Austria, France and Germany. Frequent co-authors include Frank Madeo, Guido Kroemer, Tobias Eisenberg, Sabrina Büttner, Sebastian J. Hofer, Nadège Minois, Christoph Ruckenstuhl, Maria A. Bauer, Chris Meisinger and Stephan J. Sigrist. Their work appears in journals such as Cell, Journal of Biological Chemistry and The Journal of Cell Biology.
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.