Daniel Poveda-Huertes
Impact in
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- Metabolism and Genetic Disorders
Papers in
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- Mitochondrial Function and Pathology 7
- Fungal and yeast genetics research 4
- ATP Synthase and ATPases Research 3
- Photosynthetic Processes and Mechanisms 2
- CRISPR and Genetic Engineering 1
- Gene Regulatory Network Analysis 1
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- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- F.-Nora Vögtle (4 shared papers)Patrycja Mulica (2 shared papers)Markus Proft (4 shared papers)Amparo Pascual‐Ahuir (4 shared papers)Aslı Aras Taşkin (3 shared papers)Adinarayana Marada (2 shared papers)Sabrina Büttner (3 shared papers)Lukas Habernig (2 shared papers)
- Journals
- Molecular and Cellular Biology (2 papers)Molecular Cell (2 papers)PLoS Pathogens (1 paper)Cell and Tissue Research (1 paper)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)
- Partner nations
- GermanySpainUnited States
In The Last Decade
Daniel Poveda-Huertes
12 papers receiving 331 citations
Peers
Comparison fields: 5 of 62
- Aging 14
- Clinical Biochemistry 34
- Molecular Biology 274
- Cell Biology 56
- Epidemiology 52
Countries citing papers authored by Daniel Poveda-Huertes
This map shows the geographic impact of Daniel Poveda-Huertes'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 Daniel Poveda-Huertes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Poveda-Huertes more than expected).
Fields of papers citing papers by Daniel Poveda-Huertes
This network shows the impact of papers produced by Daniel Poveda-Huertes. 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 Daniel Poveda-Huertes. The network helps show where Daniel Poveda-Huertes may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Poveda-Huertes, 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 | 2019 | 60 | |
| 2 | 2017 | 57 | |
| 3 | 2016 | 43 | |
| 4 | 2021 | 29 | |
| 5 | 2013 | 27 | |
| 6 | 2021 | 26 | |
| 7 | 2013 | 24 | |
| 8 | 2017 | 22 | |
| 9 | 2023 | 14 | |
| 10 | 2015 | 14 | |
| 11 | 2019 | 11 | |
| 12 | 2023 | 8 | |
| 13 | 2026 | 0 |
About Daniel Poveda-Huertes
Daniel Poveda-Huertes is a scholar working on Molecular Biology, Cell Biology, Renewable Energy, Sustainability and the Environment, Geriatrics and Gerontology and Clinical Biochemistry, having authored 13 papers that have together received 335 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Fungal and yeast genetics research (4 papers), ATP Synthase and ATPases Research (3 papers), Photosynthetic Processes and Mechanisms (2 papers), Algal biology and biofuel production (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), CRISPR and Genetic Engineering (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Aging (14 citations), Clinical Biochemistry (34 citations), Molecular Biology (274 citations), Cell Biology (56 citations) and Epidemiology (52 citations). Daniel Poveda-Huertes has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include F.-Nora Vögtle, Patrycja Mulica, Markus Proft, Amparo Pascual‐Ahuir, Aslı Aras Taşkin, Adinarayana Marada, Sabrina Büttner, Lukas Habernig, Chris Meisinger and Daniel Papinski. Their work appears in journals such as Molecular and Cellular Biology, Molecular Cell, PLoS Pathogens, Cell and Tissue Research and Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms.
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.