Verónica M. Dardé
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Protease and Inhibitor Mechanisms
Papers in
- Spectroscopy 10
- Advanced Proteomics Techniques and Applications 10
- Mass Spectrometry Techniques and Applications 2
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- Advanced Biosensing Techniques and Applications 2
- Co-authors
- María G. Barderas (21 shared papers)Fernando Vivanco (21 shared papers)Fernando de la Cuesta (12 shared papers)Gloria Álvarez‐Llamas (8 shared papers)Jesús Egido (6 shared papers)Ma Carmen Durán-Ruiz (5 shared papers)Félix Gil-Dones (9 shared papers)José Tuñón (4 shared papers)
In The Last Decade
Verónica M. Dardé
26 papers receiving 538 citations
Peers
Comparison fields: 5 of 73
- Spectroscopy 202
- Cancer Research 100
- Cardiology and Cardiovascular Medicine 85
- Immunology 82
- Immunology and Allergy 18
Countries citing papers authored by Verónica M. Dardé
This map shows the geographic impact of Verónica M. Dardé'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 Verónica M. Dardé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verónica M. Dardé more than expected).
Fields of papers citing papers by Verónica M. Dardé
This network shows the impact of papers produced by Verónica M. Dardé. 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 Verónica M. Dardé. The network helps show where Verónica M. Dardé may publish in the future.
Co-authors
The 25 scholars most cited alongside Verónica M. Dardé, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 73 | |
| 2 | 2011 | 48 | |
| 3 | 2006 | 44 | |
| 4 | 2006 | 43 | |
| 5 | 2007 | 42 | |
| 6 | 2010 | 37 | |
| 7 | 2008 | 33 | |
| 8 | 2011 | 26 | |
| 9 | 2008 | 25 | |
| 10 | 2013 | 21 | |
| 11 | 2006 | 21 | |
| 12 | 2009 | 19 | |
| 13 | 2010 | 19 | |
| 14 | 2009 | 17 | |
| 15 | 2007 | 14 | |
| 16 | 2009 | 12 | |
| 17 | 2006 | 12 | |
| 18 | 2016 | 12 | |
| 19 | 2019 | 9 | |
| 20 | 2013 | 6 |
About Verónica M. Dardé
Verónica M. Dardé is a scholar working on Spectroscopy, Molecular Biology, Cancer Research, Surgery and Epidemiology, having authored 26 papers that have together received 550 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (10 papers), Protease and Inhibitor Mechanisms (7 papers), Lipoproteins and Cardiovascular Health (5 papers), Cardiac Valve Diseases and Treatments (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Advanced Biosensing Techniques and Applications (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Spectroscopy (202 citations), Cancer Research (100 citations), Cardiology and Cardiovascular Medicine (85 citations), Immunology (82 citations) and Immunology and Allergy (18 citations). Verónica M. Dardé has collaborated with scholars based in Spain, Denmark and Colombia. Frequent co-authors include María G. Barderas, Fernando Vivanco, Fernando de la Cuesta, Gloria Álvarez‐Llamas, Jesús Egido, Ma Carmen Durán-Ruiz, Félix Gil-Dones, José Tuñón, Luis Rodrı́guez Padial and Sebastián Mas. Their work appears in journals such as Journal of Proteome Research, Journal of Proteomics, Biomarker Insights, PROTEOMICS - CLINICAL APPLICATIONS and Neuroscience.
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.