Katya Rigatto

1.5k citations
48 papers · 1.0k · h-index 18

Impact in

Papers in

Katya Rigatto

45 papers receiving 997 citations

Peers

Katya Rigatto
Comparison fields: 5 of 106
  • Behavioral Neuroscience 98
  • Endocrine and Autonomic Systems 125
  • Cardiology and Cardiovascular Medicine 308
  • Complementary and alternative medicine 91
  • Endocrinology, Diabetes and Metabolism 137
Replace Anna Benrick with:
Anna Benrick Sweden
Yukiomi Nakade Japan
BA Fielding United Kingdom
Joseph P. Noon United Kingdom
Adelina M. Reis Brazil
Piyush Jain India
Georgios Valsamakis Greece
Yftach Gepner Israel
V. Maier Germany
Robert Dent Canada
Katya Rigatto relative to Anna Benrick Sweden Anna Benrick'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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002156
2 2020150
3 200866
4 200154
5 200645
6 200444
7 201344
8 200742
9 201340
10 201837
11 201332
12 201429
13 201324
14 200322
15 201820
16 201319
17 201019
18 201317
19 200616
20 201616

About Katya Rigatto

Katya Rigatto is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Complementary and alternative medicine, Social Psychology and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (16 papers), Cardiovascular and exercise physiology (10 papers), Pulmonary Hypertension Research and Treatments (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Neuroendocrine regulation and behavior (6 papers), Evolutionary Psychology and Human Behavior (5 papers), Stress Responses and Cortisol (5 papers) and Renin-Angiotensin System Studies (4 papers). The work is most often cited by research in Behavioral Neuroscience (98 citations), Endocrine and Autonomic Systems (125 citations), Cardiology and Cardiovascular Medicine (308 citations), Complementary and alternative medicine (91 citations) and Endocrinology, Diabetes and Metabolism (137 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, Alex Sander da Rosa Araújo, Susana Llesuy, Seungbum Kim, Elaine M. Richards, Cristina Campos Carraro and Carl J. Pepine. Their work appears in journals such as Hypertension, Autonomic Neuroscience, Journal of Cardiovascular Pharmacology, Peptides 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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