Valéria Rettori

6.8k citations
149 papers · 5.7k indexed · h-index 44

Valéria Rettori

149 papers receiving 5.5k citations

Peers

Valéria Rettori
Comparison fields: 5 of 120
  • Physiology 1.4k
  • Endocrine and Autonomic Systems 1.4k
  • Social Psychology 1.1k
  • Behavioral Neuroscience 1.1k
  • Endocrinology, Diabetes and Metabolism 1.1k
Replace Robert L. Eskay with:
Robert L. Eskay United States
Rolf C. Gaillard Switzerland
Andrew N. Margioris Greece
Charles V. Mobbs United States
Steven W. Sutton United States
Brian J. Oldfield Australia
S. M. McCann United States
Alberto E. Panerai Italy
Anders Blomqvist Sweden
José Antunes‐Rodrigues Brazil
Valéria Rettori relative to Robert L. Eskay United States Robert L. Eskay's profile →
Citations per field
00.5×1.5×2.2×
Robert L. Eskay · 1×
Citations per year

Countries citing papers authored by Valéria Rettori

Since Specialization
Citations

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

Fields of papers citing papers by Valéria Rettori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valéria Rettori

This figure shows the co-authorship network connecting the top 25 collaborators of Valéria Rettori. A scholar is included among the top collaborators of Valéria Rettori 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 Valéria Rettori. Valéria Rettori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 31
3 2
4 3
5 6
6 38
7 3
8 7
9 28
10 11
11 17
12 21
13 63
14 41
15 22
16 20
17 44
18 2
19 3
20 1

About Valéria Rettori

Valéria Rettori is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 149 papers that have together received 5.7k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (42 papers), Neuroendocrine regulation and behavior (38 papers) and Hypothalamic control of reproductive hormones (32 papers). The work is most often cited by research in Behavioral Neuroscience (1.1k citations), Endocrine and Autonomic Systems (1.4k citations) and Reproductive Medicine (1.0k citations). Valéria Rettori has collaborated with scholars based in Argentina, United States and Germany. Frequent co-authors include Samuel M. McCann, M.A.F. Gimeno, S. M. McCann, Andrea De Laurentiis, Adriana Seilicovich, Sharada Karanth, Wai Haung Yu, W. Les Dees, Claudio A. Mastronardi and Griselda Canteros. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Clinical Endocrinology & Metabolism.

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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