David Olmeda
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Oncology top 1%
- Cancer Cells and Metastasis
Papers in
-
- Wnt/β-catenin signaling in development and cancer 6
- Angiogenesis and VEGF in Cancer 4
- Kruppel-like factors research 3
- RNA Research and Splicing 2
- TGF-β signaling in diseases 2
- Oncology 14
- Cancer Cells and Metastasis 7
- Lymphatic System and Diseases 5
- Co-authors
- Amparo Cano (11 shared papers)Héctor Peinado (5 shared papers)Francisco Portillo (5 shared papers)Àngels Fabra (4 shared papers)Mireia Jordà (3 shared papers)Gema Moreno‐Bueno (4 shared papers)Eva Cubillo (4 shared papers)Juana M. Flores (2 shared papers)
- Journals
- Cancer Cell (2 papers)Cancer Research (2 papers)Oncogene (2 papers)Molecular Biology of the Cell (1 paper)Nature Cancer (1 paper)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
David Olmeda
25 papers receiving 4.8k citations
David Olmeda's Hit Papers
Peers
Comparison fields: 5 of 117
- Cancer Research 1.1k
- Oncology 2.0k
- Molecular Biology 3.1k
- Cell Biology 426
- Immunology and Allergy 101
Countries citing papers authored by David Olmeda
This map shows the geographic impact of David Olmeda'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 David Olmeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Olmeda more than expected).
Fields of papers citing papers by David Olmeda
This network shows the impact of papers produced by David Olmeda. 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 David Olmeda. The network helps show where David Olmeda may publish in the future.
Co-authors
The 25 scholars most cited alongside David Olmeda, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Snail, Zeb and bHLH factors in tumour progression: an alliance against the epithelial phenotype? Hit paper breakdown → | 2007 | 2619 |
| 2 | 2005 | 372 | |
| 3 | 2006 | 218 | |
| 4 | 2005 | 192 | |
| 5 | 2007 | 186 | |
| 6 | 2009 | 180 | |
| 7 | 2003 | 173 | |
| 8 | 2004 | 112 | |
| 9 | 2016 | 112 | |
| 10 | 2012 | 98 | |
| 11 | 2012 | 93 | |
| 12 | 2008 | 91 | |
| 13 | 2010 | 65 | |
| 14 | 2014 | 54 | |
| 15 | 2018 | 49 | |
| 16 | 2016 | 44 | |
| 17 | 2007 | 33 | |
| 18 | 2016 | 27 | |
| 19 | 2010 | 26 | |
| 20 | 2015 | 25 |
About David Olmeda
David Olmeda is a scholar working on Molecular Biology, Oncology, Cell Biology, Surgery and Physiology, having authored 25 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Lymphatic System and Diseases (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Kruppel-like factors research (3 papers), RNA Research and Splicing (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (2.0k citations), Molecular Biology (3.1k citations), Cell Biology (426 citations) and Immunology and Allergy (101 citations). David Olmeda has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Amparo Cano, Héctor Peinado, Francisco Portillo, Àngels Fabra, Mireia Jordà, Gema Moreno‐Bueno, Eva Cubillo, Juana M. Flores, Senén Vilaró and Susanna Castel. Their work appears in journals such as Cancer Cell, Cancer Research, Oncogene, Molecular Biology of the Cell and Nature Cancer.
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.