Katya Rigatto

1.6k citations
51 papers · 1.1k · h-index 18

Impact in

Papers in

Katya Rigatto

47 papers receiving 1.0k citations

Peers

Katya Rigatto
Comparison fields: 5 of 102
  • Behavioral Neuroscience 91
  • Endocrine and Autonomic Systems 114
  • Cardiology and Cardiovascular Medicine 262
  • Complementary and alternative medicine 64
  • Endocrinology, Diabetes and Metabolism 125
Replace BA Fielding with:
BA Fielding United Kingdom
Piyush Jain India
Georgios Valsamakis Greece
Maria Cristina O. Salgado Brazil
V. Maier Germany
Julien Allard France
Judi Minium United States
B. Blondeau France
Robert Dent Canada
A Germaín Chile
Katya Rigatto relative to BA Fielding United Kingdom BA Fielding's profile →
Citations per field
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Citations per year

Countries citing papers authored by Katya Rigatto

Since Specialization
Citations

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

Fields of papers citing papers by Katya Rigatto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002159
2 2020156
3 200866
4 200154
5 200646
6 200444
7 201344
8 200743
9 201341
10 201840
11 201333
12 201430
13 201324
14 200322
15 201820
16 201020
17 201319
18 201318
19 201616
20 200616

About Katya Rigatto

Katya Rigatto is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Social Psychology and Complementary and alternative medicine, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (15 papers), Pulmonary Hypertension Research and Treatments (8 papers), Neuroendocrine regulation and behavior (6 papers), Renin-Angiotensin System Studies (6 papers), Cardiovascular and exercise physiology (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Evolutionary Psychology and Human Behavior (5 papers) and Hormonal Regulation and Hypertension (5 papers). The work is most often cited by research in Behavioral Neuroscience (91 citations), Endocrine and Autonomic Systems (114 citations), Cardiology and Cardiovascular Medicine (262 citations), Complementary and alternative medicine (64 citations) and Endocrinology, Diabetes and Metabolism (125 citations). Katya Rigatto has collaborated with scholars based in Brazil, United States and Argentina. Frequent co-authors include Adriane Belló‐Klein, Mariana Morris, Maria Cláudia Irigoyen, Mohan K. Raizada, Susana Llesuy, Alex Sander da Rosa Araújo, Seungbum Kim, Elaine M. Richards, Marli Maria Knorst and Carl J. Pepine. Their work appears in journals such as Hypertension, Autonomic Neuroscience, Peptides, Journal of Cardiovascular Pharmacology and Behavioural Brain Research.

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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