Francisco V. Álvarez

1.3k total citations
62 papers, 983 citations indexed

About

Francisco V. Álvarez is a scholar working on Pediatrics, Perinatology and Child Health, Surgery and Obstetrics and Gynecology. According to data from OpenAlex, Francisco V. Álvarez has authored 62 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pediatrics, Perinatology and Child Health, 16 papers in Surgery and 15 papers in Obstetrics and Gynecology. Recurrent topics in Francisco V. Álvarez's work include Pregnancy and preeclampsia studies (15 papers), Prenatal Screening and Diagnostics (10 papers) and Reproductive System and Pregnancy (5 papers). Francisco V. Álvarez is often cited by papers focused on Pregnancy and preeclampsia studies (15 papers), Prenatal Screening and Diagnostics (10 papers) and Reproductive System and Pregnancy (5 papers). Francisco V. Álvarez collaborates with scholars based in Spain, United States and Switzerland. Francisco V. Álvarez's co-authors include Belén Prieto García, Elías Delgado, Patricia Botas, Sergio Valdés, Eduardo Martínez‐Morillo, Yolanda Ruano, Paloma Lequerica–Fernández, Leonard D. Kohn, Carmelo Morales‐Angulo and I González-Pinto and has published in prestigious journals such as Diabetes Care, Free Radical Biology and Medicine and Annals of the New York Academy of Sciences.

In The Last Decade

Francisco V. Álvarez

58 papers receiving 948 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisco V. Álvarez Spain 19 229 222 221 187 147 62 983
Nils Bolstad Norway 19 109 0.5× 81 0.4× 78 0.4× 130 0.7× 155 1.1× 87 1.1k
Chérif Akladios France 19 140 0.6× 592 2.7× 68 0.3× 472 2.5× 195 1.3× 148 1.4k
Patrick Vexiau France 19 223 1.0× 175 0.8× 618 2.8× 282 1.5× 95 0.6× 27 1.2k
Jarkko Romppanen Finland 18 216 0.9× 185 0.8× 165 0.7× 54 0.3× 97 0.7× 40 748
N. Rizzo Italy 25 790 3.4× 479 2.2× 60 0.3× 403 2.2× 186 1.3× 69 1.7k
Veronica Resi Italy 16 185 0.8× 271 1.2× 398 1.8× 158 0.8× 141 1.0× 41 969
Ahmad Settin Egypt 19 58 0.3× 58 0.3× 89 0.4× 86 0.5× 107 0.7× 67 889
Juntao Liu China 20 693 3.0× 569 2.6× 48 0.2× 169 0.9× 112 0.8× 84 1.5k
Takashi Yagisawa Japan 20 212 0.9× 64 0.3× 131 0.6× 483 2.6× 183 1.2× 114 1.3k
Jorge Ramón Padilla‐Gutiérrez Mexico 17 635 2.8× 81 0.4× 50 0.2× 128 0.7× 219 1.5× 80 1.5k

Countries citing papers authored by Francisco V. Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Francisco V. Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco V. Álvarez. 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 Francisco V. Álvarez. The network helps show where Francisco V. Álvarez may publish in the future.

Co-authorship network of co-authors of Francisco V. Álvarez

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco V. Álvarez. A scholar is included among the top collaborators of Francisco V. Álvarez 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 Francisco V. Álvarez. Francisco V. Álvarez 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.
Garrido‐Giménez, Carmen, M. Cruz‐Lemini, Francisco V. Álvarez, et al.. (2023). Predictive Model for Preeclampsia Combining sFlt-1, PlGF, NT-proBNP, and Uric Acid as Biomarkers. Journal of Clinical Medicine. 12(2). 431–431. 11 indexed citations
2.
Lequerica–Fernández, Paloma, et al.. (2021). Development of a Third Trimester Contingent Prognostic Prediction Scheme for Suspected Early-Onset Pre-Eclampsia. Fetal Diagnosis and Therapy. 48(7). 517–525.
3.
Lequerica–Fernández, Paloma, et al.. (2021). NT-proBNP levels in preeclampsia, intrauterine growth restriction as well as in the prediction on an imminent delivery. Clinical Chemistry and Laboratory Medicine (CCLM). 59(6). 1077–1085. 4 indexed citations
4.
García‐García, María Luz, et al.. (2020). Amino-terminal proB-type natriuretic peptide reference values in umbilical cord blood. Clinical Chemistry and Laboratory Medicine (CCLM). 58(9). e179–e181. 1 indexed citations
5.
Gil‐Peña, Helena, et al.. (2020). Urinary ammonium: Paediatric reference values. Acta Paediatrica. 110(2). 659–660. 1 indexed citations
6.
Martínez‐Morillo, Eduardo, et al.. (2019). Increased serum strontium levels and altered oxidative stress status in early-onset preeclampsia. Free Radical Biology and Medicine. 138. 1–9. 14 indexed citations
7.
Martínez‐Morillo, Eduardo, et al.. (2018). Rendimiento de las metanefrinas libres plasmáticas en el diagnóstico de los feocromocitomas y paragangliomas en la población asturiana. Endocrinología Diabetes y Nutrición. 66(5). 312–319. 2 indexed citations
8.
Martínez‐Morillo, Eduardo, et al.. (2018). Phenotyping and relative quantification of vitamin D binding protein in a paediatric population by using liquid chromatography–tandem mass spectrometry. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 56(1). 56–63. 2 indexed citations
9.
García, Belén Prieto, et al.. (2015). Interleukin-6 in cerebrospinal fluid as a biomarker of acute meningitis. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 53(1). 155–163. 21 indexed citations
10.
Fernández‐Fernández, Mario, et al.. (2014). Development of an isotope dilution GC–MS procedure for the routine determination of creatinine in complex serum samples. Clinica Chimica Acta. 431. 96–102. 9 indexed citations
11.
García, Belén Prieto, et al.. (2010). New quantitative electrochemiluminescence method (ECLIA) for interleukin-6 (IL-6) measurement. Clinical Chemistry and Laboratory Medicine (CCLM). 48(6). 835–838. 19 indexed citations
12.
Valdés, Sergio, et al.. (2010). HbA1c in the prediction of type 2 diabetes compared with fasting and 2-h post-challenge plasma glucose: The Asturias study (1998–2005). Diabetes & Metabolism. 37(1). 27–32. 26 indexed citations
13.
García, Belén Prieto, et al.. (2009). Clinical utility of NT-proBNP levels in late heart transplantation patients. Clinica Chimica Acta. 411(3-4). 161–166. 7 indexed citations
14.
García, Belén Prieto, et al.. (2009). Cell-Free DNA as a Noninvasive Acute Rejection Marker in Renal Transplantation. Clinical Chemistry. 55(11). 1958–1966. 108 indexed citations
15.
16.
Álvarez, Francisco V., et al.. (2007). Otomastoiditis colesteatomatosa crónica por estreptococo de grupo F con fistulización espontánea. Anales de Pediatría. 67(4). 378–380. 1 indexed citations
17.
Valdés, Sergio, et al.. (2007). Population-Based Incidence of Type 2 Diabetes in Northern Spain. Diabetes Care. 30(9). 2258–2263. 103 indexed citations
18.
García, Belén Prieto, et al.. (2002). Regression-Based Reference Limits for Urinary Amino Acids in a Pediatric Population. Clinical Chemistry and Laboratory Medicine (CCLM). 40(4). 383–90. 4 indexed citations
19.
Cabo, Javier, et al.. (1989). [Surgery of congenital cardiopathies without catheterization: initial experience with 141 consecutive cases].. PubMed. 42(7). 478–84. 1 indexed citations
20.
Álvarez, Francisco V.. (1988). Evaluation of two new asymmetric derivatives of thiocarbohydrazide as spectrophotometric analytical reagents. Talanta. 35(6). 493–495. 2 indexed citations

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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