J. Roblero

40 papers receiving 433 citations

Peers

J. Roblero
Comparison fields: 5 of 70
  • Genetics 236
  • Cardiology and Cardiovascular Medicine 104
  • Cellular and Molecular Neuroscience 70
  • Endocrinology, Diabetes and Metabolism 62
  • Pulmonary and Respiratory Medicine 102
Replace H. Croxatto with:
H. Croxatto Chile
T. Viganò Italy
Michael S. LaPointe United States
Margittá Albinus Germany
L K Kwong United States
Barbara A. Weaver United States
Georgina M. Nemecek United States
M F Gonzales France
Sanja Bosnyak Australia
Mark C. Chappell United States
J. Roblero relative to H. Croxatto Chile H. Croxatto's profile →
Citations per field
00.5×4.7×
H. Croxatto · 1×
Citations per year

Countries citing papers authored by J. Roblero

Since Specialization
Citations

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

Fields of papers citing papers by J. Roblero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Roblero, 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 J. Roblero Line = papers co-authored together J. Roblero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196891
2 197661
3 196936
4 200427
5 198727
6 198924
7
Assay of kinins by their effects on blood pressure.
197324
8 197320
9 199219
10 197615
11 198115
12 197612
13 197912
14 197610
15 197510
16 19819
17
POLYPEPTIDES FORMED BY ACIDIFICATION OF BLOOD SERUM OF NORMAL AND HYPERTENSIVE RATS.
19647
18
Renal kallikrein (kininogenase activity) in hypertensive rats.
19746
19 19716
20 19864

About J. Roblero

J. Roblero is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 40 papers that have together received 487 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (25 papers), Electrolyte and hormonal disorders (11 papers), Hormonal Regulation and Hypertension (8 papers), Renin-Angiotensin System Studies (7 papers), Adenosine and Purinergic Signaling (4 papers), Apelin-related biomedical research (3 papers), Vitamin K Research Studies (3 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Genetics (236 citations), Cardiology and Cardiovascular Medicine (104 citations), Cellular and Molecular Neuroscience (70 citations), Endocrinology, Diabetes and Metabolism (62 citations) and Pulmonary and Respiratory Medicine (102 citations). J. Roblero has collaborated with scholars based in Chile, United States and Mexico. Frequent co-authors include James W. Ryan, H. Croxatto, John M. Stewart, Jenny Corthorn, R. García, Mauricio P. Borić, Eduardo Luis De Vito, John Morrow Stewart, J. Pablo Huidobro‐Toro and Sofía P. Salas. Their work appears in journals such as Hypertension, Experimental Biology and Medicine, Inflammation Research, Journal of Pharmacology and Experimental Therapeutics and Clinical Science.

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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