A Molina

582 total citations
12 papers, 433 citations indexed

About

A Molina is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, A Molina has authored 12 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in A Molina's work include Thyroid Disorders and Treatments (2 papers), Dialysis and Renal Disease Management (2 papers) and Iron Metabolism and Disorders (2 papers). A Molina is often cited by papers focused on Thyroid Disorders and Treatments (2 papers), Dialysis and Renal Disease Management (2 papers) and Iron Metabolism and Disorders (2 papers). A Molina collaborates with scholars based in Spain and Italy. A Molina's co-authors include R. W. Hunsperger, M. Kuno, Edward R. Perl, Joan Soler, Luciano López-Jiménez, María José Fernández‐Reyes, Manuel Heras, Oscar A. M. Wyss, F Álvarez-Ude and Pedro Iglesias and has published in prestigious journals such as Diabetes Care, The Journal of Physiology and Clinical Nephrology.

In The Last Decade

A Molina

11 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A Molina Spain	8	143	138	127	80	55	12	433
F. Laczi Hungary	16	94 0.7×	367 2.7×	108 0.9×	183 2.3×	54 1.0×	45	589
Elisabeth Arnauld France	12	60 0.4×	253 1.8×	220 1.7×	125 1.6×	22 0.4×	13	571
K. Koizumi United States	14	110 0.8×	109 0.8×	119 0.9×	239 3.0×	16 0.3×	23	538
Miguel R. Covian Brazil	16	86 0.6×	125 0.9×	174 1.4×	145 1.8×	37 0.7×	35	524
Tatsuya Kanai Japan	7	143 1.0×	69 0.5×	190 1.5×	57 0.7×	5 0.1×	11	410
S Sanders United States	9	251 1.8×	175 1.3×	346 2.7×	46 0.6×	24 0.4×	11	657
Edward M. Stricker United States	11	32 0.2×	254 1.8×	187 1.5×	288 3.6×	58 1.1×	15	652
Young‐Beom Kim South Korea	12	50 0.3×	174 1.3×	99 0.8×	110 1.4×	12 0.2×	17	415
Shabrine S. Daftary United States	11	87 0.6×	277 2.0×	186 1.5×	255 3.2×	137 2.5×	12	738
Rodrigo Pascual Chile	13	45 0.3×	148 1.1×	207 1.6×	69 0.9×	9 0.2×	39	569

Countries citing papers authored by A Molina

Since Specialization

Citations

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

Fields of papers citing papers by A Molina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Molina

This figure shows the co-authorship network connecting the top 25 collaborators of A Molina. A scholar is included among the top collaborators of A Molina 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 A Molina. A Molina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Heras, Manuel, et al.. (2012). Serum uric acid as a marker of all-cause mortality in an elderly patient cohort.. PubMed. 32(1). 67–72. 8 indexed citations

2.

Fernández‐Reyes, María José, Juan J. Díez, Pedro Iglesias, et al.. (2010). Are low concentrations of serum triiodothyronine a good marker for long-term mortality in hemodialysis patients?. Clinical Nephrology. 73(3). 238–240. 17 indexed citations

3.

Heras, Manuel, et al.. (2009). Fracaso renal agudo en un paciente con carcinoma renal tratado con Temsirolimus. Nefrología. 29(6). 612–612. 1 indexed citations

4.

Fernández‐Reyes, María José, Rosario Sánchez‐Martínez, Manuel Heras, et al.. (2009). [Can FT3 levels facilitate the detection of inflammation or catabolism and malnutrition in dialysis patients?].. PubMed. 29(4). 304–10. 14 indexed citations

5.

Molina, A, et al.. (2008). [Spontaneous intestinal hematoma as anticoagulant treatment complication].. PubMed. 29(10). 421–3.

6.

Molina, A. (2006). Variabilidad clínica del síndrome de Gitelman. Nefrología. 26(4). 504–506. 1 indexed citations

7.

Molina, A, Carmen Mon, Aniana Oliet, & Martín Ortiz. (2006). [Clinical variability of Gitelman's syndrome].. PubMed. 26(4). 504–6. 2 indexed citations

8.

Martı́n-Escudero, Juan Carlos, et al.. (2004). [Prevalence of mild to moderate chronic kidney disease in the general population of Spain. Hortega study].. PubMed. 24(4). 329–32, 334, 336. 17 indexed citations

9.

Molina, A, et al.. (1999). Clinical presentation and early course of type 1 diabetes in patients with and without thyroid autoimmunity.. Diabetes Care. 22(3). 377–381. 30 indexed citations

10.

Molina, A, M. Kuno, & Edward R. Perl. (1965). Antidromically evoked responses from sympathetic preganglionic neurones.. The Journal of Physiology. 180(2). 321–335. 63 indexed citations

11.

Molina, A & R. W. Hunsperger. (1962). Organization of the subcortical system governing defence and flight reactions in the cat. The Journal of Physiology. 160(2). 200–213. 269 indexed citations

12.

Molina, A, et al.. (1953). Respiratory and vasomotor responses to stimulation of afferent fibres in somatic nerves.. PubMed. 11(1). 1–19. 11 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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