Marta Artal‐Sanz
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- Metabolomics and Mass Spectrometry Studies
Papers in
- Aging 21
- Genetics, Aging, and Longevity in Model Organisms 21
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- Circadian rhythm and melatonin 7
- Co-authors
- Nektarios Tavernarakis (5 shared papers)Leo G.J. Nijtmans (5 shared papers)Les A. Grivell (3 shared papers)Philip John Coates (1 shared paper)Hans van der Spek (3 shared papers)Ronald H.A. Plasterk (1 shared paper)René F. Ketting (1 shared paper)Tokameh Mahmoudi (1 shared paper)
In The Last Decade
Marta Artal‐Sanz
38 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 116
- Aging 474
- Molecular Biology 1.6k
- Clinical Biochemistry 124
- Spectroscopy 293
- Endocrine and Autonomic Systems 105
Countries citing papers authored by Marta Artal‐Sanz
This map shows the geographic impact of Marta Artal‐Sanz'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 Marta Artal‐Sanz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Artal‐Sanz more than expected).
Fields of papers citing papers by Marta Artal‐Sanz
This network shows the impact of papers produced by Marta Artal‐Sanz. 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 Marta Artal‐Sanz. The network helps show where Marta Artal‐Sanz may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Artal‐Sanz, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 343 | |
| 2 | 2002 | 257 | |
| 3 | 2009 | 242 | |
| 4 | 2003 | 184 | |
| 5 | 2009 | 171 | |
| 6 | 2002 | 145 | |
| 7 | 2006 | 139 | |
| 8 | 2005 | 111 | |
| 9 | 2006 | 90 | |
| 10 | 1999 | 66 | |
| 11 | 2018 | 63 | |
| 12 | 2001 | 62 | |
| 13 | 2019 | 54 | |
| 14 | 2015 | 36 | |
| 15 | 2021 | 32 | |
| 16 | 2019 | 31 | |
| 17 | 2018 | 31 | |
| 18 | 2014 | 30 | |
| 19 | 2019 | 29 | |
| 20 | 2015 | 22 |
About Marta Artal‐Sanz
Marta Artal‐Sanz is a scholar working on Aging, Endocrine and Autonomic Systems, Molecular Biology, Biochemistry and Cell Biology, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (21 papers), Mitochondrial Function and Pathology (17 papers), Circadian rhythm and melatonin (7 papers), ATP Synthase and ATPases Research (6 papers), Biochemical Acid Research Studies (5 papers), Photosynthetic Processes and Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (474 citations), Molecular Biology (1.6k citations), Clinical Biochemistry (124 citations), Spectroscopy (293 citations) and Endocrine and Autonomic Systems (105 citations). Marta Artal‐Sanz has collaborated with scholars based in Spain, Germany and Greece. Frequent co-authors include Nektarios Tavernarakis, Leo G.J. Nijtmans, Les A. Grivell, Philip John Coates, Hans van der Spek, Ronald H.A. Plasterk, René F. Ketting, Tokameh Mahmoudi, Jeroen Krijgsveld and C. Peter Verrijzer. Their work appears in journals such as Genetics, FEBS Letters, Cells, Aging Cell and iScience.
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.