Javier Muñoz
Impact in
- Aging top 2%
- Molecular Biology top 2%
- Pluripotent Stem Cells Research
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
- Metabolomics and Mass Spectrometry Studies
Papers in
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Cell Biology 17
- Microtubule and mitosis dynamics 10
- Co-authors
- Albert J. R. HeckMaarten AltelaarShabaz MohammedDennis Van HoofJeroen KrijgsveldMartijn W. H. PinkseChristine L. MummeryStefan Braam
- Journals
- Nature Communications (9 papers)Cell Reports (7 papers)The EMBO Journal (6 papers)PROTEOMICS (5 papers)Journal of Proteome Research (4 papers)
- Partner nations
- SpainUnited StatesNetherlands
In The Last Decade
Javier Muñoz
93 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Aging 128
- Molecular Biology 2.7k
- Spectroscopy 519
- Cancer Research 464
- Oncology 778
Countries citing papers authored by Javier Muñoz
This map shows the geographic impact of Javier 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 Javier Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Muñoz more than expected).
Fields of papers citing papers by Javier Muñoz
This network shows the impact of papers produced by Javier 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 Javier Muñoz. The network helps show where Javier Muñoz may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Muñoz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 62 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 51 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 33 | |
| 15 | 2019 | 205 | |
| 16 | 2017 | 23 | |
| 17 | 2013 | 40 | |
| 18 | 2011 | 19 | |
| 19 | 2009 | 7 | |
| 20 | 2006 | 52 |
About Javier Muñoz
Javier Muñoz is a scholar working on Aging, Cell Biology, Molecular Biology, Cancer Research and Hematology, having authored 97 papers that have together received 3.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (14 papers), Pluripotent Stem Cells Research (11 papers), Microtubule and mitosis dynamics (10 papers), Ubiquitin and proteasome pathways (9 papers), Advanced Proteomics Techniques and Applications (9 papers), RNA modifications and cancer (8 papers), Epigenetics and DNA Methylation (8 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). The work is most often cited by research in Aging (128 citations), Molecular Biology (2.7k citations), Spectroscopy (519 citations), Cancer Research (464 citations) and Oncology (778 citations). Javier Muñoz has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Albert J. R. Heck, Maarten Altelaar, Shabaz Mohammed, Dennis Van Hoof, Jeroen Krijgsveld, Martijn W. H. Pinkse, Christine L. Mummery, Stefan Braam, Rune Linding and Fernando Garcı́a. Their work appears in journals such as Nature Communications, Cell Reports, The EMBO Journal, PROTEOMICS and Journal of Proteome Research.
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.