Mercè Ibarz

1.6k total citations
45 papers, 967 citations indexed

About

Mercè Ibarz is a scholar working on Physiology, Statistics, Probability and Uncertainty and General Health Professions. According to data from OpenAlex, Mercè Ibarz has authored 45 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Physiology, 19 papers in Statistics, Probability and Uncertainty and 8 papers in General Health Professions. Recurrent topics in Mercè Ibarz's work include Clinical Laboratory Practices and Quality Control (28 papers), Meta-analysis and systematic reviews (17 papers) and Healthcare cost, quality, practices (8 papers). Mercè Ibarz is often cited by papers focused on Clinical Laboratory Practices and Quality Control (28 papers), Meta-analysis and systematic reviews (17 papers) and Healthcare cost, quality, practices (8 papers). Mercè Ibarz collaborates with scholars based in Spain, United Kingdom and Italy. Mercè Ibarz's co-authors include Ana-Maria Šimundić, Michael P. Cornes, Giuseppe Lippi, Mads Nybo, Kjell Grankvist, Gunn B.B. Kristensen, José Manuel Valdivielso, Milica Božić, Mario Plebani and Petya Valcheva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nutrients and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Mercè Ibarz

40 papers receiving 909 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mercè Ibarz Spain 18 637 402 113 105 100 45 967
Zorica Šumarac Serbia 13 506 0.8× 266 0.7× 98 0.9× 55 0.5× 83 0.8× 30 705
Carmen Perich Spain 20 752 1.2× 424 1.1× 178 1.6× 166 1.6× 38 0.4× 41 1.2k
Thomas Røraas Norway 18 588 0.9× 302 0.8× 213 1.9× 135 1.3× 54 0.5× 28 1.2k
Virtudes Álvarez Spain 16 571 0.9× 330 0.8× 127 1.1× 108 1.0× 25 0.3× 30 859
Joana Minchinela Spain 16 621 1.0× 337 0.8× 147 1.3× 135 1.3× 22 0.2× 34 996
Alex Katayev United States 10 395 0.6× 290 0.7× 154 1.4× 40 0.4× 19 0.2× 17 751
Una Ørvim Sølvik Norway 11 250 0.4× 128 0.3× 99 0.9× 42 0.4× 21 0.2× 32 516
A. Uldall Denmark 11 261 0.4× 136 0.3× 96 0.8× 102 1.0× 17 0.2× 54 622
Edward T. Wong United States 12 157 0.2× 65 0.2× 62 0.5× 92 0.9× 89 0.9× 25 692
Fernando Cava Spain 16 345 0.5× 161 0.4× 154 1.4× 106 1.0× 14 0.1× 39 927

Countries citing papers authored by Mercè Ibarz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mercè Ibarz

This figure shows the co-authorship network connecting the top 25 collaborators of Mercè Ibarz. A scholar is included among the top collaborators of Mercè Ibarz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mercè Ibarz. Mercè Ibarz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Soto, Antonio Buño, Francesca Canalías, Mercè Ibarz, et al.. (2023). State of affairs and future challenges in laboratory medicine in Spain: an analysis of the Spanish Society of Laboratory Medicine (SEQCML). SHILAP Revista de lepidopterología. 4(1). 70–80.
2.
Cadamuro, Janne, Geoffrey S. Baird, Karin Bölenius, et al.. (2022). Preanalytical quality improvement – an interdisciplinary journey. Clinical Chemistry and Laboratory Medicine (CCLM). 60(5). 662–668. 10 indexed citations
3.
González, Álvaro, et al.. (2022). Efectos de la pandemia COVID-19 en la actividad asistencial de los laboratorios clínicos españoles, evolución 2019–2021. SHILAP Revista de lepidopterología. 3(4). 371–382.
4.
Caballero, Andrea, et al.. (2022). Evaluation of 18 quality indicators from the external quality assurance preanalytical programme of the Spanish Society of Laboratory Medicine (SEQCML). SHILAP Revista de lepidopterología. 3(2). 175–187. 3 indexed citations
5.
Crespo‐Masip, Maria, Ramiro Jover, Carla Guzmán, et al.. (2022). Elimination of Vitamin D Signaling Causes Increased Mortality in a Model of Overactivation of the Insulin Receptor: Role of Lipid Metabolism. Nutrients. 14(7). 1516–1516. 1 indexed citations
6.
Soto, Antonio Buño, Francesca Canalías, Mercè Ibarz, et al.. (2022). Estado actual y retos futuros de la medicina de laboratorio en España: un análisis de la Sociedad Española de Medicina de Laboratorio (SEQCML). SHILAP Revista de lepidopterología. 4(1). 81–91.
7.
8.
González, Álvaro, et al.. (2022). Effects of the COVID-19 pandemic on the activity of clinical laboratories in Spain, evolution in the 2019–2021 period. SHILAP Revista de lepidopterología. 3(4). 361–370. 1 indexed citations
9.
Rayego‐Mateos, Sandra, et al.. (2022). The Increase in FGF23 Induced by Calcium Is Partially Dependent on Vitamin D Signaling. Nutrients. 14(13). 2576–2576. 5 indexed citations
10.
Rioja, Rubén Gómez, et al.. (2021). External quality assessment of serum indices: Spanish SEQC-ML program. Clinical Chemistry and Laboratory Medicine (CCLM). 60(1). 66–73. 3 indexed citations
11.
Marco, María Paz, Marisa Martín, Natàlia Ramos, et al.. (2021). Development and Validation of a Model to Predict Severe Hospital-Acquired Acute Kidney Injury in Non-Critically Ill Patients. Journal of Clinical Medicine. 10(17). 3959–3959. 4 indexed citations
12.
Ibarz, Mercè, Janne Cadamuro, Zorica Šumarac, et al.. (2020). Clinicians’ and laboratory medicine specialists’ views on laboratory demand management: a survey in nine European countries. Diagnosis. 8(1). 111–119. 7 indexed citations
13.
14.
Cornes, Michael P., et al.. (2018). Blood sampling guidelines with focus on patient safety and identification – a review. Diagnosis. 6(1). 33–37. 13 indexed citations
15.
Rioja, Rubén Gómez, D. Martínez, Mercè Ibarz, et al.. (2018). Laboratory sample stability. Is it possible to define a consensus stability function? An example of five blood magnitudes. Clinical Chemistry and Laboratory Medicine (CCLM). 56(11). 1806–1818. 35 indexed citations
16.
Cadamuro, Janne, Mercè Ibarz, Michael P. Cornes, et al.. (2018). Managing inappropriate utilization of laboratory resources. Diagnosis. 6(1). 5–13. 40 indexed citations
17.
Cornes, Michael P., Edmée van Dongen-Lases, Kjell Grankvist, et al.. (2016). Order of blood draw: Opinion Paper by the European Federation for Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for the Preanalytical Phase (WG-PRE). Clinical Chemistry and Laboratory Medicine (CCLM). 55(1). 27–31. 48 indexed citations
18.
Parisi, Eva, Mercè Ibarz, Sara Panizo, et al.. (2009). N-methyl-d-aspartate receptors are expressed in rat parathyroid gland and regulate PTH secretion. American Journal of Physiology-Renal Physiology. 296(6). F1291–F1296. 21 indexed citations
19.
Ruiz‐González, Agustín, et al.. (2008). C‐reactive protein and other predictors of poor outcome in patients hospitalized with exacerbations of chronic obstructive pulmonary disease. Respirology. 13(7). 1028–1033. 31 indexed citations
20.
Ibarz, Mercè. (2000). El material descartado de Tierra sin pan. 21–25.

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.

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