J.J. Acebes
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
-
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
Papers in
- Co-authors
- Carles Majós (13 shared papers)Carles Arús (13 shared papers)Carles Aguilera (9 shared papers)Marta Serrallonga (5 shared papers)Jaume Gili (4 shared papers)Juli Alonso (4 shared papers)Marta Brell (6 shared papers)Isidró Ferrer (5 shared papers)
- Journals
- Neuroradiology (3 papers)European Radiology (3 papers)Acta Neurochirurgica (3 papers)Magnetic Resonance Materials in Physics Biology and Medicine (2 papers)Neurology (2 papers)
- Partner nations
- SpainFranceUnited Kingdom
In The Last Decade
J.J. Acebes
55 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Genetics 588
- Radiology, Nuclear Medicine and Imaging 488
- Neurology 318
- Epidemiology 337
- Neurology 80
Countries citing papers authored by J.J. Acebes
This map shows the geographic impact of J.J. Acebes'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 J.J. Acebes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.J. Acebes more than expected).
Fields of papers citing papers by J.J. Acebes
This network shows the impact of papers produced by J.J. Acebes. 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 J.J. Acebes. The network helps show where J.J. Acebes may publish in the future.
Co-authors
The 25 scholars most cited alongside J.J. Acebes, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 158 | |
| 2 | Brain tumor classification by proton MR spectroscopy: comparison of diagnostic accuracy at short and long TE. | 2005 | 142 |
| 3 | 2003 | 126 | |
| 4 | 2003 | 115 | |
| 5 | 2002 | 80 | |
| 6 | 2011 | 79 | |
| 7 | 2007 | 60 | |
| 8 | 2005 | 51 | |
| 9 | 2003 | 50 | |
| 10 | 2011 | 47 | |
| 11 | 2006 | 46 | |
| 12 | 1981 | 43 | |
| 13 | 2005 | 41 | |
| 14 | 2015 | 38 | |
| 15 | 2011 | 36 | |
| 16 | 2007 | 34 | |
| 17 | 2008 | 30 | |
| 18 | 2009 | 30 | |
| 19 | 2010 | 25 | |
| 20 | 1979 | 25 |
About J.J. Acebes
J.J. Acebes is a scholar working on Genetics, Neurology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (20 papers), Meningioma and schwannoma management (14 papers), Advanced MRI Techniques and Applications (9 papers), Pituitary Gland Disorders and Treatments (7 papers), Vascular Malformations Diagnosis and Treatment (6 papers), Cerebrospinal fluid and hydrocephalus (5 papers), Advanced NMR Techniques and Applications (4 papers) and Adrenal Hormones and Disorders (4 papers). The work is most often cited by research in Genetics (588 citations), Radiology, Nuclear Medicine and Imaging (488 citations), Neurology (318 citations), Epidemiology (337 citations) and Neurology (80 citations). J.J. Acebes has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Carles Majós, Carles Arús, Carles Aguilera, Marta Serrallonga, Jaume Gili, Juli Alonso, Marta Brell, Isidró Ferrer, S. Villà and Margarida Julià‐Sapé. Their work appears in journals such as Neuroradiology, European Radiology, Acta Neurochirurgica, Magnetic Resonance Materials in Physics Biology and Medicine and Neurology.
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.