Noemí de Luna
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Rheumatology top 5%
- Glycogen Storage Diseases and Myoclonus
Papers in
-
- Muscle Physiology and Disorders 17
- Mitochondrial Function and Pathology 3
- Rheumatology 12
- Glycogen Storage Diseases and Myoclonus 11
- Co-authors
- Isabel Illa (22 shared papers)Eduard Gallardo (22 shared papers)Jordi Díaz‐Manera (16 shared papers)Tomàs Pinós (11 shared papers)Alejandro Lucía (10 shared papers)Ricardo Rojas‐García (9 shared papers)Astrid Brull (9 shared papers)Antoni L. Andreu (9 shared papers)
- Journals
- Scientific Reports (3 papers)Neuromuscular Disorders (2 papers)American Journal Of Pathology (2 papers)Disease Models & Mechanisms (2 papers)Human Mutation (2 papers)
- Partner nations
- SpainUnited StatesDenmark
In The Last Decade
Noemí de Luna
39 papers receiving 961 citations
Peers
Comparison fields: 5 of 70
- Neurology 227
- Rheumatology 203
- Genetics 140
- Molecular Biology 531
- Physiology 168
Countries citing papers authored by Noemí de Luna
This map shows the geographic impact of Noemí de Luna'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 Noemí de Luna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noemí de Luna more than expected).
Fields of papers citing papers by Noemí de Luna
This network shows the impact of papers produced by Noemí de Luna. 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 Noemí de Luna. The network helps show where Noemí de Luna may publish in the future.
Co-authors
The 25 scholars most cited alongside Noemí de Luna, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 84 | |
| 2 | 2001 | 80 | |
| 3 | 2018 | 65 | |
| 4 | 2015 | 52 | |
| 5 | 2017 | 43 | |
| 6 | 2012 | 42 | |
| 7 | 2014 | 38 | |
| 8 | 2011 | 35 | |
| 9 | 2018 | 34 | |
| 10 | 2017 | 33 | |
| 11 | 2020 | 32 | |
| 12 | 2004 | 32 | |
| 13 | 2017 | 31 | |
| 14 | 2017 | 31 | |
| 15 | 2012 | 27 | |
| 16 | 2016 | 23 | |
| 17 | 2014 | 21 | |
| 18 | 2019 | 21 | |
| 19 | 2022 | 20 | |
| 20 | 2015 | 19 |
About Noemí de Luna
Noemí de Luna is a scholar working on Molecular Biology, Rheumatology, Neurology, Physiology and Genetics, having authored 40 papers that have together received 969 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (17 papers), Glycogen Storage Diseases and Myoclonus (11 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Genetic Neurodegenerative Diseases (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), Lysosomal Storage Disorders Research (4 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Neurology (227 citations), Rheumatology (203 citations), Genetics (140 citations), Molecular Biology (531 citations) and Physiology (168 citations). Noemí de Luna has collaborated with scholars based in Spain, United States and Denmark. Frequent co-authors include Isabel Illa, Eduard Gallardo, Jordi Díaz‐Manera, Tomàs Pinós, Alejandro Lucía, Ricardo Rojas‐García, Astrid Brull, Antoni L. Andreu, Gisela Nogales‐Gadea and Xavier Suárez‐Calvet. Their work appears in journals such as Scientific Reports, Neuromuscular Disorders, American Journal Of Pathology, Disease Models & Mechanisms and Human Mutation.
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.