Alberto C. Taquini

120 total papers · 1.3k total citations
71 papers, 672 citations indexed

About

Alberto C. Taquini is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alberto C. Taquini has authored 71 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cardiology and Cardiovascular Medicine, 16 papers in Endocrinology, Diabetes and Metabolism and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alberto C. Taquini's work include Renin-Angiotensin System Studies (20 papers), Hormonal Regulation and Hypertension (15 papers) and Blood Pressure and Hypertension Studies (11 papers). Alberto C. Taquini is often cited by papers focused on Renin-Angiotensin System Studies (20 papers), Hormonal Regulation and Hypertension (15 papers) and Blood Pressure and Hypertension Studies (11 papers). Alberto C. Taquini collaborates with scholars based in Argentina, United States and Russia. Alberto C. Taquini's co-authors include David F. Bohr, N Basso, Patricia Ruíz, Pedro F. Aramendı́a, Lidia E. Costa, A Boveris, Osvaldo R. Koch, Nidia Basso, Elsa I. Mangiarua and Miguel A. Cannata and has published in prestigious journals such as Nature, Circulation and Circulation Research.

In The Last Decade

Alberto C. Taquini

64 papers receiving 588 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Alberto C. Taquini	294	166	141	117	115	71	672
Masao Hiwatari	377 1.3×	164 1.0×	105 0.7×	64 0.5×	101 0.9×	55	727
M. B. Vallotton	180 0.6×	319 1.9×	116 0.8×	165 1.4×	203 1.8×	41	723
H. Dahlheim	322 1.1×	241 1.5×	115 0.8×	75 0.6×	139 1.2×	41	717
U. Gottstein	189 0.6×	184 1.1×	194 1.4×	69 0.6×	63 0.5×	72	779
G Inglis	190 0.6×	150 0.9×	112 0.8×	86 0.7×	204 1.8×	55	672
Kristy L. Jackson	213 0.7×	180 1.1×	102 0.7×	99 0.8×	145 1.3×	57	780
D. Ratge	150 0.5×	162 1.0×	92 0.7×	58 0.5×	74 0.6×	57	679
K Glänzer	265 0.9×	153 0.9×	88 0.6×	200 1.7×	126 1.1×	43	774
J. C. Fray	358 1.2×	350 2.1×	168 1.2×	83 0.7×	144 1.3×	39	768
M Faßhauer	278 0.9×	168 1.0×	185 1.3×	71 0.6×	116 1.0×	33	750

Countries citing papers authored by Alberto C. Taquini

Since Specialization

Citations

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

Fields of papers citing papers by Alberto C. Taquini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto C. Taquini. 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 Alberto C. Taquini. The network helps show where Alberto C. Taquini may publish in the future.

Co-authorship network of co-authors of Alberto C. Taquini

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

All Works

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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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