Leonardo B.M. Resstel

5.4k citations
150 papers · 4.2k indexed · h-index 36
Topics
Stress Responses and Cortisol (55 papers)Neuroscience and Neuropharmacology Research (49 papers)Neurotransmitter Receptor Influence on Behavior (42 papers)

In The Last Decade

Leonardo B.M. Resstel

148 papers receiving 4.1k citations

Peers

Leonardo B.M. Resstel
Comparison fields: 5 of 114
  • Cellular and Molecular Neuroscience 1.8k
  • Pharmacology 1.5k
  • Behavioral Neuroscience 1.1k
  • Cognitive Neuroscience 1.0k
  • Endocrine and Autonomic Systems 925
Replace Mitsuhiro Yoshioka with:
Mitsuhiro Yoshioka Japan
Roberto Ciccocioppo Italy
Karim A. Alkadhi United States
Lora K. Heisler United Kingdom
Gregory A. Ordway United States
Leandro F. Vendruscolo United States
Jeffrey G. Tasker United States
Astrid C. E. Linthorst Germany
Guy Drolet Canada
Carlos C. Crestani Brazil
Leonardo B.M. Resstel relative to Mitsuhiro Yoshioka Japan Mitsuhiro Yoshioka's profile →
Citations per field
00.5×3.2×
Mitsuhiro Yoshioka · 1×
Citations per year

Countries citing papers authored by Leonardo B.M. Resstel

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo B.M. Resstel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo B.M. Resstel. 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 Leonardo B.M. Resstel. The network helps show where Leonardo B.M. Resstel may publish in the future.

Co-authorship network of co-authors of Leonardo B.M. Resstel

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo B.M. Resstel. A scholar is included among the top collaborators of Leonardo B.M. Resstel 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 Leonardo B.M. Resstel. Leonardo B.M. Resstel 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 1
2 2
3 6
4 4
5 2
6 1
7 26
8 13
9 38
10 27
11 10
12 59
13 79
14 25
15 38
16 27
17 61
18 9
19 31
20 84

About Leonardo B.M. Resstel

Leonardo B.M. Resstel is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 150 papers that have together received 4.2k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (55 papers), Neuroscience and Neuropharmacology Research (49 papers) and Neurotransmitter Receptor Influence on Behavior (42 papers). The work is most often cited by research in Behavioral Neuroscience (1.1k citations), Endocrine and Autonomic Systems (925 citations) and Biological Psychiatry (267 citations). Leonardo B.M. Resstel has collaborated with scholars based in Brazil, United States and Denmark. Frequent co-authors include Fernando Morgan de Aguiar Corrêa, Francisco Silveira Guimarães, Carlos C. Crestani, Fernando H.F. Alves, Felipe V. Gomes, Sabrina F. Lisboa, Sâmia Joca, Rodrigo Fiacadori Tavares, América A. Scopinho and Daniel G. Reis. Their work appears in journals such as PLoS ONE, Scientific Reports and 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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