Ulises Novoa

611 citations
21 papers · 460 · h-index 11

Impact in

Papers in

Ulises Novoa

20 papers receiving 457 citations

Peers

Ulises Novoa
Comparison fields: 5 of 70
  • Cardiology and Cardiovascular Medicine 249
  • Endocrinology, Diabetes and Metabolism 139
  • Genetics 46
  • Pharmacology 60
  • Molecular Biology 178
Replace Franziska Rompe with:
Franziska Rompe Germany
Atsushi Shiota Japan
Che Ping Cheng United States
F. Ravandi Kashani Germany
Anna Di Martino Italy
Jiqian Huang United States
Ying‐Le Xu China
Gaetana Albanese Italy
Zhen-Zhou Zhang China
Maurice E. Fabiani Australia
Ulises Novoa relative to Franziska Rompe Germany Franziska Rompe's profile →
Citations per field
00.5×3.6×
Franziska Rompe · 1×
Citations per year

Countries citing papers authored by Ulises Novoa

Since Specialization
Citations

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

Fields of papers citing papers by Ulises Novoa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ulises Novoa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ulises Novoa Line = papers co-authored together Ulises Novoa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201075
2 201474
3 201752
4 201148
5 200142
6 201836
7 201332
8 201131
9 201614
10 202013
11 199710
12 20168
13 20226
14 20215
15 19964
16 20124
17 20193
18 20101
19 20121
20 20121

About Ulises Novoa

Ulises Novoa is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology and Genetics, having authored 21 papers that have together received 460 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (9 papers), Renin-Angiotensin System Studies (8 papers), Apelin-related biomedical research (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Cardiovascular Function and Risk Factors (3 papers), Blood Pressure and Hypertension Studies (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (249 citations), Endocrinology, Diabetes and Metabolism (139 citations), Genetics (46 citations), Pharmacology (60 citations) and Molecular Biology (178 citations). Ulises Novoa has collaborated with scholars based in Chile, United States and Germany. Frequent co-authors include María Paz Ocaranza, Jorge Jalil, Mario Chiong, Sergio Lavandero, Iván Godoy, Leticia González, Lorena Garcı́a, Luigi Gabrielli, Carlos D. Figueroa and Werner Müller‐Esterl. Their work appears in journals such as Journal of Hypertension, Biochemical Pharmacology, International Journal of Cardiology, Hypertension and Biomedicines.

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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