David Barneda
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in ⓘ
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- Lipid metabolism and biosynthesis 7
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- Adipose Tissue and Metabolism 5
- Co-authors
- Patricia Sancho (3 shared papers)Christopher Heeschen (3 shared papers)Mark Christian (4 shared papers)Petra Jagušt (2 shared papers)Alejandra Tavera-Tapia (1 shared paper)Emma Burgos‐Ramos (1 shared paper)Matthieu Schoenhals (1 shared paper)Bruno Sáinz (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)The EMBO Journal (2 papers)Cell Metabolism (1 paper)Journal of Clinical Oncology (1 paper)Chemical Science (1 paper)
- Partner nations
- United KingdomSpainSingapore
In The Last Decade
David Barneda
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 648
- Biochemistry 284
- Oncology 413
- Molecular Biology 1.0k
- Physiology 279
Countries citing papers authored by David Barneda
This map shows the geographic impact of David Barneda'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 Barneda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Barneda more than expected).
Fields of papers citing papers by David Barneda
This network shows the impact of papers produced by David Barneda. 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 Barneda. The network helps show where David Barneda may publish in the future.
Co-authors
The 25 scholars most cited alongside David Barneda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | MYC/PGC-1α Balance Determines the Metabolic Phenotype and Plasticity of Pancreatic Cancer Stem Cells Hit paper breakdown → | 2015 | 555 |
| 2 | Hallmarks of cancer stem cell metabolism Hit paper breakdown → | 2016 | 410 |
| 3 | 2015 | 111 | |
| 4 | 2013 | 94 | |
| 5 | 2008 | 82 | |
| 6 | 2009 | 80 | |
| 7 | 2017 | 52 | |
| 8 | 2009 | 47 | |
| 9 | 2019 | 45 | |
| 10 | 2011 | 23 | |
| 11 | 2022 | 20 | |
| 12 | 2022 | 17 | |
| 13 | 2024 | 16 | |
| 14 | 2020 | 4 | |
| 15 | 2023 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 1 |
About David Barneda
David Barneda is a scholar working on Biochemistry, Physiology, Cell Biology, Physiology and Molecular Biology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (7 papers), Adipose Tissue and Metabolism (5 papers), Cellular transport and secretion (4 papers), Pancreatic function and diabetes (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (648 citations), Biochemistry (284 citations), Oncology (413 citations), Molecular Biology (1.0k citations) and Physiology (279 citations). David Barneda has collaborated with scholars based in United Kingdom, Spain and Singapore. Frequent co-authors include Patricia Sancho, Christopher Heeschen, Mark Christian, Petra Jagušt, Alejandra Tavera-Tapia, Emma Burgos‐Ramos, Matthieu Schoenhals, Bruno Sáinz, Mariia Yuneva and Katherine Sellers. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal, Cell Metabolism, Journal of Clinical Oncology and Chemical Science.
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.