Mercè Ibarz
Impact in
-
- Meta-analysis and systematic reviews
- Reliability and Agreement in Measurement
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills
Papers in
- Physiology 29
- Clinical Laboratory Practices and Quality Control 28
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- Meta-analysis and systematic reviews 17
- Reliability and Agreement in Measurement 8
- Co-authors
- Ana-Maria Šimundić (10 shared papers)Michael P. Cornes (10 shared papers)Giuseppe Lippi (9 shared papers)Mads Nybo (8 shared papers)Kjell Grankvist (7 shared papers)Gunn B.B. Kristensen (6 shared papers)José Manuel Valdivielso (6 shared papers)Milica Božić (3 shared papers)
- Journals
- Clinical Chemistry and Laboratory Medicine (CCLM) (15 papers)Biochemia Medica (3 papers)Diagnosis (3 papers)Nutrients (3 papers)Clinical Kidney Journal (2 papers)
- Partner nations
- SpainUnited KingdomItaly
In The Last Decade
Mercè Ibarz
40 papers receiving 909 citations
Peers
Comparison fields: 5 of 104
- Statistics, Probability and Uncertainty 402
- Family Practice 59
- Physiology 637
- Medical Laboratory Technology 35
- Nephrology 105
Countries citing papers authored by Mercè Ibarz
This map shows the geographic impact of Mercè Ibarz'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 Mercè Ibarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercè Ibarz more than expected).
Fields of papers citing papers by Mercè Ibarz
This network shows the impact of papers produced by Mercè Ibarz. 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 Mercè Ibarz. The network helps show where Mercè Ibarz may publish in the future.
Co-authors
The 25 scholars most cited alongside Mercè Ibarz, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 142 | |
| 2 | 2014 | 105 | |
| 3 | 2014 | 99 | |
| 4 | 2007 | 81 | |
| 5 | 2016 | 48 | |
| 6 | 2011 | 47 | |
| 7 | 2016 | 42 | |
| 8 | 2018 | 40 | |
| 9 | 2019 | 37 | |
| 10 | 2018 | 35 | |
| 11 | 2008 | 31 | |
| 12 | 2016 | 27 | |
| 13 | 2014 | 25 | |
| 14 | 2009 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2016 | 20 | |
| 17 | 2008 | 19 | |
| 18 | 2010 | 18 | |
| 19 | 2013 | 16 | |
| 20 | 2018 | 13 |
About Mercè Ibarz
Mercè Ibarz is a scholar working on Physiology, Statistics, Probability and Uncertainty, General Health Professions, Nephrology and Surgery, having authored 45 papers that have together received 967 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (28 papers), Meta-analysis and systematic reviews (17 papers), Healthcare cost, quality, practices (8 papers), Reliability and Agreement in Measurement (8 papers), Hemodynamic Monitoring and Therapy (5 papers), Parathyroid Disorders and Treatments (3 papers), Acute Kidney Injury Research (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (402 citations), Family Practice (59 citations), Physiology (637 citations), Medical Laboratory Technology (35 citations) and Nephrology (105 citations). Mercè Ibarz has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Ana-Maria Šimundić, Michael P. Cornes, Giuseppe Lippi, Mads Nybo, Kjell Grankvist, Gunn B.B. Kristensen, José Manuel Valdivielso, Milica Božić, Petya Valcheva and Mario Plebani. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Biochemia Medica, Diagnosis, Nutrients and Clinical Kidney Journal.
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.