Daniel Monleón
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Virology top 5%
Papers in
-
- Metabolomics and Mass Spectrometry Studies 19
- Protein Structure and Dynamics 7
- Gut microbiota and health 6
- Physiology 19
- Diet and metabolism studies 13
- Adipose Tissue and Metabolism 6
- Co-authors
- Bernardo Celda (26 shared papers)José Manuel Morales (28 shared papers)G.T. Montelione (7 shared papers)Juan J. Calvete (6 shared papers)Vannina G. Marrachelli (23 shared papers)Cezary Marcinkiewicz (5 shared papers)Hunter Moseley (3 shared papers)Vicent Esteve (5 shared papers)
- Journals
- PLoS ONE (9 papers)Proteins Structure Function and Bioinformatics (4 papers)Antioxidants (4 papers)Scientific Reports (3 papers)NMR in Biomedicine (3 papers)
- Partner nations
- SpainUnited StatesBelgium
In The Last Decade
Daniel Monleón
102 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 139
- Immunology and Allergy 197
- Virology 153
- Molecular Biology 1.7k
- Biological Psychiatry 53
- Cancer Research 276
Countries citing papers authored by Daniel Monleón
This map shows the geographic impact of Daniel Monleón'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 Daniel Monleón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Monleón more than expected).
Fields of papers citing papers by Daniel Monleón
This network shows the impact of papers produced by Daniel Monleón. 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 Daniel Monleón. The network helps show where Daniel Monleón may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Monleón, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 257 | |
| 2 | 2005 | 247 | |
| 3 | 2008 | 164 | |
| 4 | 2016 | 139 | |
| 5 | 2010 | 137 | |
| 6 | 2001 | 136 | |
| 7 | 2018 | 92 | |
| 8 | 2010 | 90 | |
| 9 | 2018 | 87 | |
| 10 | 2022 | 85 | |
| 11 | 2006 | 72 | |
| 12 | 2012 | 72 | |
| 13 | 2019 | 70 | |
| 14 | 2017 | 69 | |
| 15 | 2018 | 68 | |
| 16 | 2015 | 65 | |
| 17 | 2012 | 64 | |
| 18 | 2001 | 61 | |
| 19 | 2013 | 60 | |
| 20 | 2008 | 53 |
About Daniel Monleón
Daniel Monleón is a scholar working on Molecular Biology, Physiology, Epidemiology, Cancer Research and Genetics, having authored 109 papers that have together received 3.4k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (19 papers), Diet and metabolism studies (13 papers), Advanced MRI Techniques and Applications (7 papers), Enzyme Structure and Function (7 papers), Protein Structure and Dynamics (7 papers), Gut microbiota and health (6 papers), Adipose Tissue and Metabolism (6 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Immunology and Allergy (197 citations), Virology (153 citations), Molecular Biology (1.7k citations), Biological Psychiatry (53 citations) and Cancer Research (276 citations). Daniel Monleón has collaborated with scholars based in Spain, United States and Belgium. Frequent co-authors include Bernardo Celda, José Manuel Morales, G.T. Montelione, Juan J. Calvete, Vannina G. Marrachelli, Cezary Marcinkiewicz, Hunter Moseley, Vicent Esteve, Líbia Sanz and Paula Juárez. Their work appears in journals such as PLoS ONE, Proteins Structure Function and Bioinformatics, Antioxidants, Scientific Reports and NMR in Biomedicine.
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.