Mónica Muñoz
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Molecular Biology
- Co-authors
- Ricardo InsaustiAlicia Mohedano‐MorianoFaraneh Vargha‐KhademEmilio Artacho‐PérulaAna María Insausti SerranoSebastian JentschkeMortimer MishkinTina Banks
- Topics
- Memory and Neural Mechanisms (17 papers)Neuroscience and Neuropharmacology Research (14 papers)Neonatal and fetal brain pathology (4 papers)
- Journals
- The LancetNature NeuroscienceBrain
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Mónica Muñoz
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Cognitive Neuroscience 670
- Cellular and Molecular Neuroscience 286
- Radiology, Nuclear Medicine and Imaging 174
- Pediatrics, Perinatology and Child Health 136
- Molecular Biology 101
Countries citing papers authored by Mónica Muñoz
This map shows the geographic impact of Mónica Muñoz'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 Mónica Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Muñoz more than expected).
Fields of papers citing papers by Mónica Muñoz
This network shows the impact of papers produced by Mónica Muñoz. 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 Mónica Muñoz. The network helps show where Mónica Muñoz may publish in the future.
Co-authorship network of co-authors of Mónica Muñoz
This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Muñoz. A scholar is included among the top collaborators of Mónica Muñoz 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 Mónica Muñoz. Mónica Muñoz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 24 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 13 | |
| 8 | 19 | |
| 9 | 32 | |
| 10 | 36 | |
| 11 | 72 | |
| 12 | 81 | |
| 13 | 24 | |
| 14 | 90 | |
| 15 | 61 | |
| 16 | 109 | |
| 17 | 101 | |
| 18 | 27 | |
| 19 | 50 | |
| 20 | Prevention of graft failure by an anti human leukocyte functional antigen 1 monoclonal antibody in hla mismatched bone marrow transplantation | 48 |
About Mónica Muñoz
Mónica Muñoz is a scholar working on Computational Mathematics, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (17 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neonatal and fetal brain pathology (4 papers). The work is most often cited by research in Cognitive Neuroscience (670 citations), Developmental Biology (43 citations) and Sensory Systems (82 citations). Mónica Muñoz has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Ricardo Insausti, Alicia Mohedano‐Moriano, Faraneh Vargha‐Khadem, Emilio Artacho‐Pérula, Ana María Insausti Serrano, Sebastian Jentschke, Mortimer Mishkin, Tina Banks, Allen R. Braun and Jonathan B. Fritz. Their work appears in journals such as The Lancet, Nature Neuroscience and Brain.
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.