Eva Muñoz
Impact in
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
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- Glycosylation and Glycoproteins Research
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
Papers in
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- Glycosylation and Glycoproteins Research 9
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- Proteoglycans and glycosaminoglycans research 6
- Co-authors
- Robert J. Linhardt (5 shared papers)Ricardo Riguera (4 shared papers)Juan Correa (3 shared papers)Eduardo Fernández-Megía (3 shared papers)Toshihiko Toida (3 shared papers)Fuming Zhang (2 shared papers)Peilong Sun (2 shared papers)Juan Sabín (4 shared papers)
- Journals
- Analytical Biochemistry (3 papers)Journal of the American Chemical Society (2 papers)Biosensors and Bioelectronics (1 paper)Carbohydrate Research (1 paper)Journal of AOAC International (1 paper)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Eva Muñoz
26 papers receiving 765 citations
Peers
Comparison fields: 5 of 124
- Cell Biology 179
- Molecular Biology 417
- Organic Chemistry 147
- Physical and Theoretical Chemistry 41
- Transportation 28
Countries citing papers authored by Eva Muñoz
This map shows the geographic impact of Eva 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 Eva Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Muñoz more than expected).
Fields of papers citing papers by Eva Muñoz
This network shows the impact of papers produced by Eva 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 Eva Muñoz. The network helps show where Eva Muñoz may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 174 | |
| 2 | 2013 | 89 | |
| 3 | 2009 | 79 | |
| 4 | 2006 | 64 | |
| 5 | 2019 | 62 | |
| 6 | 2015 | 49 | |
| 7 | Crowd Density Estimation for Public Transport Vehicles | 2014 | 40 |
| 8 | 2006 | 31 | |
| 9 | 2015 | 29 | |
| 10 | 2005 | 28 | |
| 11 | 2011 | 26 | |
| 12 | 2012 | 22 | |
| 13 | 2012 | 16 | |
| 14 | 2016 | 14 | |
| 15 | 2006 | 13 | |
| 16 | 2016 | 9 | |
| 17 | 2019 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2006 | 5 |
About Eva Muñoz
Eva Muñoz is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Physical and Theoretical Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 779 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Proteoglycans and glycosaminoglycans research (6 papers), thermodynamics and calorimetric analyses (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Pesticide Residue Analysis and Safety (3 papers), Platelet Disorders and Treatments (3 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Chemical Thermodynamics and Molecular Structure (2 papers). The work is most often cited by research in Cell Biology (179 citations), Molecular Biology (417 citations), Organic Chemistry (147 citations), Physical and Theoretical Chemistry (41 citations) and Transportation (28 citations). Eva Muñoz has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Robert J. Linhardt, Ricardo Riguera, Juan Correa, Eduardo Fernández-Megía, Toshihiko Toida, Fuming Zhang, Peilong Sun, Juan Sabín, Ángel Piñeiro and Philippe Dumas. Their work appears in journals such as Analytical Biochemistry, Journal of the American Chemical Society, Biosensors and Bioelectronics, Carbohydrate Research and Journal of AOAC International.
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.