Ignacio Vega‐Naredo
- Molecular Biology
- Physiology top 5%
- Endocrine and Autonomic Systems top 2%
- Epidemiology top 10%
- Cell Biology top 10%
- Co-authors
- Ana Coto‐MontesBeatriz CaballeroYaiza PotesMarı́a Josefa Rodrı́guez-ColungaVerónica SierraPaulo J. OliveiraJosé Antonio BogaDavid de Gonzalo‐Calvo
- Topics
- Autophagy in Disease and Therapy (16 papers)Circadian rhythm and melatonin (15 papers)Mitochondrial Function and Pathology (12 papers)
- Journals
- The FASEB JournalFree Radical Biology and MedicineInternational Journal of Molecular Sciences
- Partner nations
- SpainPortugalUnited States
In The Last Decade
Ignacio Vega‐Naredo
61 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 662
- Physiology 560
- Endocrine and Autonomic Systems 382
- Epidemiology 300
- Cell Biology 153
Countries citing papers authored by Ignacio Vega‐Naredo
This map shows the geographic impact of Ignacio Vega‐Naredo'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 Ignacio Vega‐Naredo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Vega‐Naredo more than expected).
Fields of papers citing papers by Ignacio Vega‐Naredo
This network shows the impact of papers produced by Ignacio Vega‐Naredo. 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 Ignacio Vega‐Naredo. The network helps show where Ignacio Vega‐Naredo may publish in the future.
Co-authorship network of co-authors of Ignacio Vega‐Naredo
This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Vega‐Naredo. A scholar is included among the top collaborators of Ignacio Vega‐Naredo 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 Ignacio Vega‐Naredo. Ignacio Vega‐Naredo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 115 | |
| 6 | 16 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 41 | |
| 10 | 11 | |
| 11 | 27 | |
| 12 | 33 | |
| 13 | 13 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 20 | |
| 17 | 83 | |
| 18 | 14 | |
| 19 | 64 | |
| 20 | 36 |
About Ignacio Vega‐Naredo
Ignacio Vega‐Naredo is a scholar working on Aging, Endocrine and Autonomic Systems and Physiology, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (16 papers), Circadian rhythm and melatonin (15 papers) and Mitochondrial Function and Pathology (12 papers). The work is most often cited by research in Endocrine and Autonomic Systems (382 citations), Aging (84 citations) and Biological Psychiatry (85 citations). Ignacio Vega‐Naredo has collaborated with scholars based in Spain, Portugal and United States. Frequent co-authors include Ana Coto‐Montes, Beatriz Caballero, Yaiza Potes, Marı́a Josefa Rodrı́guez-Colunga, Verónica Sierra, Paulo J. Oliveira, José Antonio Boga, David de Gonzalo‐Calvo, Juan J. Pérez-Solano and Delio Tolivia. Their work appears in journals such as The FASEB Journal, Free Radical Biology and Medicine and International Journal of Molecular Sciences.
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.