Pablo Martínez-Acedo
- Molecular Biology
- Spectroscopy top 10%
- Physiology
- Biochemistry top 10%
- Oncology
- Co-authors
- Jesús VázquezEstefanía NúñezKate S. CarrollPedro NavarroJuan Miguel RedondoInmaculada JorgeVadim N. GladyshevPerry Evans
- Topics
- Advanced Proteomics Techniques and Applications (6 papers)Mass Spectrometry Techniques and Applications (5 papers)Redox biology and oxidative stress (4 papers)
- Journals
- Cardiovascular ResearchMolecular & Cellular ProteomicsJournal of Molecular and Cellular Cardiology
- Partner nations
- SpainUnited StatesAustralia
In The Last Decade
Pablo Martínez-Acedo
13 papers receiving 662 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 430
- Spectroscopy 121
- Physiology 96
- Biochemistry 71
- Oncology 62
Countries citing papers authored by Pablo Martínez-Acedo
This map shows the geographic impact of Pablo Martínez-Acedo'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 Pablo Martínez-Acedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Martínez-Acedo more than expected).
Fields of papers citing papers by Pablo Martínez-Acedo
This network shows the impact of papers produced by Pablo Martínez-Acedo. 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 Pablo Martínez-Acedo. The network helps show where Pablo Martínez-Acedo may publish in the future.
Co-authorship network of co-authors of Pablo Martínez-Acedo
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Martínez-Acedo. A scholar is included among the top collaborators of Pablo Martínez-Acedo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pablo Martínez-Acedo. Pablo Martínez-Acedo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 26 | |
| 3 | 108 | |
| 4 | 2 | |
| 5 | 45 | |
| 6 | 143 | |
| 7 | 27 | |
| 8 | 17 | |
| 9 | 62 | |
| 10 | 85 | |
| 11 | 56 | |
| 12 | 58 | |
| 13 | Quantitative proteomics of mitochondrial membrane proteins by sodium dodecyl sulphate polyacrylamide gel electrophoresis, 16O/18O stable isotope labeling and linear ion trap mass spectrometry | 4 |
About Pablo Martínez-Acedo
Pablo Martínez-Acedo is a scholar working on Spectroscopy, Biochemistry and Clinical Biochemistry, having authored 13 papers that have together received 666 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (5 papers) and Redox biology and oxidative stress (4 papers). The work is most often cited by research in Biochemistry (71 citations), Spectroscopy (121 citations) and Molecular Biology (430 citations). Pablo Martínez-Acedo has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Jesús Vázquez, Estefanía Núñez, Kate S. Carroll, Pedro Navarro, Juan Miguel Redondo, Inmaculada Jorge, Vadim N. Gladyshev, Perry Evans, Harry Ischiropoulos and Neal S. Gould. Their work appears in journals such as Cardiovascular Research, Molecular & Cellular Proteomics and Journal of Molecular and Cellular Cardiology.
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.