Isabel Sáez
- Molecular Biology top 10%
- Physiology top 5%
- Epidemiology top 10%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- David Vı́lchezAndrew DillinJoan J. GuinovartJordi DuránÓscar YanesSara SaminoMaría VinaixaJosé M. Delgado‐García
- Topics
- Genetics, Aging, and Longevity in Model Organisms (5 papers)Autophagy in Disease and Therapy (5 papers)Endoplasmic Reticulum Stress and Disease (4 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- GermanySpainUnited States
In The Last Decade
Isabel Sáez
22 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.0k
- Physiology 390
- Epidemiology 319
- Cell Biology 300
- Cellular and Molecular Neuroscience 280
Countries citing papers authored by Isabel Sáez
This map shows the geographic impact of Isabel Sáez'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 Isabel Sáez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Sáez more than expected).
Fields of papers citing papers by Isabel Sáez
This network shows the impact of papers produced by Isabel Sáez. 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 Isabel Sáez. The network helps show where Isabel Sáez may publish in the future.
Co-authorship network of co-authors of Isabel Sáez
This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Sáez. A scholar is included among the top collaborators of Isabel Sáez 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 Isabel Sáez. Isabel Sáez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 106 | |
| 4 | 80 | |
| 5 | 36 | |
| 6 | 1 | |
| 7 | 123 | |
| 8 | 35 | |
| 9 | 72 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 167 | |
| 14 | The role of protein clearance mechanisms in organismal ageing and age-related diseasesbreakdown → | 514 |
| 15 | 242 | |
| 16 | 119 | |
| 17 | 99 | |
| 18 | 50 | |
| 19 | 1 | |
| 20 | [The usefulness of the bcr/abl rearrangement in the diagnosis and evolution of chronic myeloid leukemia]. | 0 |
About Isabel Sáez
Isabel Sáez is a scholar working on Aging, Cell Biology and Hematology, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Autophagy in Disease and Therapy (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Aging (239 citations), Cell Biology (300 citations) and Cellular and Molecular Neuroscience (280 citations). Isabel Sáez has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include David Vı́lchez, Andrew Dillin, Joan J. Guinovart, Jordi Durán, Óscar Yanes, Sara Samino, María Vinaixa, José M. Delgado‐García, Agnès Gruart and Seda Koyuncu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.
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.