Antonio J. Quesada

938 total citations
7 papers, 289 citations indexed

About

Antonio J. Quesada is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Economics and Econometrics. According to data from OpenAlex, Antonio J. Quesada has authored 7 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Economics and Econometrics. Recurrent topics in Antonio J. Quesada's work include Angiogenesis and VEGF in Cancer (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Ethics in Clinical Research (1 paper). Antonio J. Quesada is often cited by papers focused on Angiogenesis and VEGF in Cancer (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Ethics in Clinical Research (1 paper). Antonio J. Quesada collaborates with scholars based in Spain, United States and Germany. Antonio J. Quesada's co-authors include Juan Miguel Redondo, Abelardo López‐Rivas, Carmen Ruiz‐Ruiz, Antonio Rodrı́guez, Elisa Lorenzo, Arántzazu Alfranca, Stéphanie Filleur, Tetiana Zaichuk, Laura Genı́s and Olga V. Volpert and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Journal of the American College of Cardiology.

In The Last Decade

Antonio J. Quesada

6 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antonio J. Quesada Spain	5	171	72	67	40	32	7	289
Hiroo Makimoto Japan	13	161 0.9×	90 1.3×	49 0.7×	20 0.5×	25 0.8×	32	346
Bader Almuzzaini Saudi Arabia	12	303 1.8×	79 1.1×	38 0.6×	33 0.8×	15 0.5×	27	511
Tanya Khan United States	6	226 1.3×	65 0.9×	39 0.6×	10 0.3×	13 0.4×	8	350
Michael W. Rowe Denmark	7	178 1.0×	75 1.0×	37 0.6×	33 0.8×	10 0.3×	12	359
Jacklyn N. Thibert United States	7	60 0.4×	137 1.9×	71 1.1×	54 1.4×	59 1.8×	9	336
Geun-Young Kim South Korea	8	114 0.7×	45 0.6×	32 0.5×	18 0.5×	23 0.7×	11	355
Rameshraja Palaparthy United States	9	96 0.6×	68 0.9×	36 0.5×	22 0.6×	11 0.3×	16	331
Upal Kunal Basu Roy United States	8	208 1.2×	93 1.3×	45 0.7×	7 0.2×	39 1.2×	17	339
Kevin Yang United States	8	199 1.2×	54 0.8×	28 0.4×	67 1.7×	13 0.4×	12	420

Countries citing papers authored by Antonio J. Quesada

Since Specialization

Citations

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

Fields of papers citing papers by Antonio J. Quesada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio J. Quesada. 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 Antonio J. Quesada. The network helps show where Antonio J. Quesada may publish in the future.

Co-authorship network of co-authors of Antonio J. Quesada

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

All Works

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7 of 7 papers shown

Cordero, Alberto, et al.. (2025). Meta-analysis and Meta-regression for Uncertain Areas and the Estimation of Possible Benefit of Future Therapies. European Cardiology Review. 20. e25–e25.

Fuster, Valentı́n, Ana García Álvarez, Ana Devesa, et al.. (2024). Influence of Subclinical Atherosclerosis Burden and Progression on Mortality. Journal of the American College of Cardiology. 84(15). 1391–1403. 12 indexed citations

Buttgereit, Thomas, Andriko Palmowski, Maarten Boers, et al.. (2021). Barriers and potential solutions in the recruitment and retention of older patients in clinical trials—lessons learned from six large multicentre randomized controlled trials. Age and Ageing. 50(6). 1988–1996. 30 indexed citations

Alfranca, Arántzazu, Laura Genı́s, Dolores López-Maderuelo, et al.. (2008). PGE2 induces angiogenesis via MT1-MMP–mediated activation of the TGFβ/Alk5 signaling pathway. Blood. 112(4). 1120–1128. 55 indexed citations

Quesada, Antonio J., Thomas Nelius, Tetiana Zaichuk, et al.. (2005). In vivo upregulation of CD95 and CD95L causes synergistic inhibition of angiogenesis by TSP1 peptide and metronomic doxorubicin treatment. Cell Death and Differentiation. 12(6). 649–658. 48 indexed citations

Quesada, Antonio J. & Juan Miguel Redondo. (2003). [CA++/ calcineurin/NFAT signaling in endothelial activation and angiogenesis: effects od cyclosporin A ].. PubMed. 23 Suppl 3. 44–8. 3 indexed citations

Lorenzo, Elisa, Carmen Ruiz‐Ruiz, Antonio J. Quesada, et al.. (2002). Doxorubicin Induces Apoptosis and CD95 Gene Expression in Human Primary Endothelial Cells through a p53-dependent Mechanism. Journal of Biological Chemistry. 277(13). 10883–10892. 141 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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