Carmen Biosca

818 citations
33 papers · 690 · h-index 12

Impact in

Papers in

Carmen Biosca

31 papers receiving 642 citations

Peers

Carmen Biosca
Comparison fields: 5 of 72
  • Statistics, Probability and Uncertainty 181
  • Physiology 423
  • Medical Laboratory Technology 20
  • Statistics and Probability 88
  • Nephrology 55
Replace Virtudes Álvarez with:
Virtudes Álvarez Spain
Joana Minchinela Spain
Margarita Sánchez Simón Spain
Gunn B.B. Kristensen Sweden
Alex Katayev United States
Una Ørvim Sølvik Norway
Janice Gill Australia
Marit Sverresdotter Sylte Norway
Rodney W Forsman United States
C G Fraser United Kingdom
Carmen Biosca relative to Virtudes Álvarez Spain Virtudes Álvarez's profile →
Citations per field
00.5×1.5×
Virtudes Álvarez · 1×
Citations per year

Countries citing papers authored by Carmen Biosca

Since Specialization
Citations

This map shows the geographic impact of Carmen Biosca'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 Carmen Biosca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Biosca more than expected).

Fields of papers citing papers by Carmen Biosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmen Biosca. 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 Carmen Biosca. The network helps show where Carmen Biosca may publish in the future.

Co-authors

The 25 scholars most cited alongside Carmen Biosca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Carmen Biosca Line = papers co-authored together Carmen Biosca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007166
2 201486
3 200781
4 200954
5 201152
6 201542
7 201428
8 201325
9 200121
10 200820
11 199717
12 201616
13 200012
14 20179
15 20067
16
Potential interfering substances on Falcor-600 and Dax-48 analytical systems.
19977
17 19937
18 20106
19 20106
20 20175

About Carmen Biosca

Carmen Biosca is a scholar working on Physiology, Statistics, Probability and Uncertainty, Statistics and Probability, Nephrology and Clinical Biochemistry, having authored 33 papers that have together received 690 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (23 papers), Meta-analysis and systematic reviews (10 papers), Statistical Methods in Clinical Trials (9 papers), Dialysis and Renal Disease Management (3 papers), Renal function and acid-base balance (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Body Composition Measurement Techniques (2 papers) and Health and Medical Research Impacts (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (181 citations), Physiology (423 citations), Medical Laboratory Technology (20 citations), Statistics and Probability (88 citations) and Nephrology (55 citations). Carmen Biosca has collaborated with scholars based in Spain, Denmark and Italy. Frequent co-authors include Carmen Ricós, Carmen Perich, Virtudes Álvarez, Margarita Sánchez Simón, Fernando Cava, Joana Minchinela, José Vicente Garcı́a-Lario, Román Galimany, Beatriz Boned and Pilar Fernández–Calle. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Clinical Chemistry, Biochemia Medica and Annals of Translational Medicine.

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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