Leonardo Saraiva

1.2k citations
17 papers · 740 indexed · h-index 9
Topics
Alzheimer's disease research and treatments (5 papers)Protein Structure and Dynamics (2 papers)Prion Diseases and Protein Misfolding (2 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Leonardo Saraiva

14 papers receiving 729 citations

Peers

Leonardo Saraiva
Comparison fields: 5 of 87
  • Physiology 456
  • Molecular Biology 382
  • Cellular and Molecular Neuroscience 141
  • Pharmacology 129
  • Neurology 94
Replace Yuriko Tachida with:
Yuriko Tachida Japan
Suzanne J. Randle United Kingdom
Chunfeng Huo United States
Qiongli Wu China
Nicha Puangmalai United States
Marcella Catania Italy
William Z. Suo United States
Xanthi Antoniou Italy
Manasi Benurwar United Kingdom
Roland Pfeiffer Germany
Leonardo Saraiva relative to Yuriko Tachida Japan Yuriko Tachida's profile →
Citations per field
00.5×1.5×
Yuriko Tachida · 1×
Citations per year

Countries citing papers authored by Leonardo Saraiva

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Saraiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Saraiva

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 2
3 9
4 1
5 11
6 0
7 1
8 2
9 9
10 106
11 1
12 1
13 71
14 78
15 209
16 72
17 167

About Leonardo Saraiva

Leonardo Saraiva is a scholar working on Complementary and Manual Therapy, General Dentistry and Physiology, having authored 17 papers that have together received 740 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Protein Structure and Dynamics (2 papers) and Prion Diseases and Protein Misfolding (2 papers). The work is most often cited by research in Physiology (456 citations), Neurology (94 citations) and Biological Psychiatry (25 citations). Leonardo Saraiva has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Sérgio T. Ferreira, Fernanda G. De Felice, José Garcia-Abreu, Marcelo N. N. Vieira, María A. Juliano, Margaret H. Magdesian, Fábio A. Mendes, Luiz Juliano, Antônio Galina and Lei Chang. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

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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