Gemma Olmos
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Nephrology top 5%
- Parathyroid Disorders and Treatments
Papers in
-
- TGF-β signaling in diseases 3
- Physiology 15
- Erythrocyte Function and Pathophysiology 7
- Telomeres, Telomerase, and Senescence 3
- Co-authors
- Manuel O. Landázuri (6 shared papers)Silvia Martı́n-Puig (4 shared papers)María Piedad Ruiz‐Torres (16 shared papers)María C. Castellanos (2 shared papers)Susana López‐Ongil (13 shared papers)Luis del Peso (2 shared papers)Patricia Sosa (10 shared papers)Yolanda Cuevas (1 shared paper)
- Journals
- Bioscience Reports (3 papers)Journal of Biological Chemistry (3 papers)Journal of Cachexia Sarcopenia and Muscle (2 papers)Nephrology Dialysis Transplantation (2 papers)Oncogene (1 paper)
- Partner nations
- SpainUnited KingdomBangladesh
In The Last Decade
Gemma Olmos
37 papers receiving 724 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 243
- Nephrology 102
- Physiology 179
- Aging 9
- Molecular Biology 305
Countries citing papers authored by Gemma Olmos
This map shows the geographic impact of Gemma Olmos'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 Gemma Olmos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma Olmos more than expected).
Fields of papers citing papers by Gemma Olmos
This network shows the impact of papers produced by Gemma Olmos. 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 Gemma Olmos. The network helps show where Gemma Olmos may publish in the future.
Co-authors
The 25 scholars most cited alongside Gemma Olmos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 167 | |
| 2 | 2005 | 52 | |
| 3 | 2017 | 43 | |
| 4 | 2018 | 41 | |
| 5 | 2021 | 32 | |
| 6 | 2004 | 32 | |
| 7 | 2020 | 27 | |
| 8 | 2003 | 26 | |
| 9 | 2012 | 23 | |
| 10 | 2017 | 23 | |
| 11 | 2013 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2015 | 21 | |
| 14 | 2023 | 20 | |
| 15 | 2012 | 17 | |
| 16 | 2009 | 17 | |
| 17 | 2021 | 15 | |
| 18 | 2017 | 15 | |
| 19 | 2014 | 14 | |
| 20 | 2007 | 14 |
About Gemma Olmos
Gemma Olmos is a scholar working on Molecular Biology, Physiology, Nephrology, Immunology and Cancer Research, having authored 38 papers that have together received 739 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Parathyroid Disorders and Treatments (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Neonatal Health and Biochemistry (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Cancer Research (243 citations), Nephrology (102 citations), Physiology (179 citations), Aging (9 citations) and Molecular Biology (305 citations). Gemma Olmos has collaborated with scholars based in Spain, United Kingdom and Bangladesh. Frequent co-authors include Manuel O. Landázuri, Silvia Martı́n-Puig, María Piedad Ruiz‐Torres, María C. Castellanos, Susana López‐Ongil, Luis del Peso, Patricia Sosa, Yolanda Cuevas, Diego Rodrı́guez-Puyol and Elena Alcalde‐Estévez. Their work appears in journals such as Bioscience Reports, Journal of Biological Chemistry, Journal of Cachexia Sarcopenia and Muscle, Nephrology Dialysis Transplantation and Oncogene.
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.