Daniela Valdez‐Jasso

57 total papers · 999 total citations
27 papers, 530 citations indexed

About

Daniela Valdez‐Jasso is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Daniela Valdez‐Jasso has authored 27 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 18 papers in Pulmonary and Respiratory Medicine and 12 papers in Surgery. Recurrent topics in Daniela Valdez‐Jasso's work include Pulmonary Hypertension Research and Treatments (16 papers), Cardiovascular Function and Risk Factors (11 papers) and Elasticity and Material Modeling (8 papers). Daniela Valdez‐Jasso is often cited by papers focused on Pulmonary Hypertension Research and Treatments (16 papers), Cardiovascular Function and Risk Factors (11 papers) and Elasticity and Material Modeling (8 papers). Daniela Valdez‐Jasso collaborates with scholars based in United States, Uruguay and China. Daniela Valdez‐Jasso's co-authors include Mansoor A. Haider, Mette S. Olufsen, Yanina Zócalo, Ricardo L. Armentano, Hunter C. Champion, Marc A. Simon, Daniel Bia, Will Zhang, Michael S. Sacks and Michael R. Hill and has published in prestigious journals such as The Journal of Physiology, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Daniela Valdez‐Jasso

27 papers receiving 513 citations

Author Peers

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

Author						Papers	Cites
Daniela Valdez‐Jasso	323	229	155	152	54	27	530
Yifan Liu	90 0.3×	239 1.0×	61 0.4×	76 0.5×	175 3.2×	46	596
Christopher C. Hanger	136 0.4×	271 1.2×	88 0.6×	51 0.3×	63 1.2×	20	573
Abhay B. Ramachandra	193 0.6×	137 0.6×	266 1.7×	167 1.1×	45 0.8×	41	532
R. D. Bauer	245 0.8×	49 0.2×	95 0.6×	154 1.0×	88 1.6×	38	491
Timothy N. Bachman	231 0.7×	217 0.9×	124 0.8×	119 0.8×	57 1.1×	25	494
Koji Todaka	273 0.8×	36 0.2×	89 0.6×	86 0.6×	134 2.5×	34	494
Nobuoki Tabayashi	287 0.9×	250 1.1×	135 0.9×	22 0.1×	84 1.6×	36	514
Angèle Boët	213 0.7×	282 1.2×	103 0.7×	26 0.2×	166 3.1×	25	489
Jen-Kuang Lee	330 1.0×	71 0.3×	90 0.6×	22 0.1×	108 2.0×	17	522
H Wayland	97 0.3×	193 0.8×	89 0.6×	51 0.3×	43 0.8×	19	525

Countries citing papers authored by Daniela Valdez‐Jasso

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Valdez‐Jasso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Valdez‐Jasso. 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 Daniela Valdez‐Jasso. The network helps show where Daniela Valdez‐Jasso may publish in the future.

Co-authorship network of co-authors of Daniela Valdez‐Jasso

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Valdez‐Jasso. A scholar is included among the top collaborators of Daniela Valdez‐Jasso 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 Daniela Valdez‐Jasso. Daniela Valdez‐Jasso 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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