Verônica M. Saia‐Cereda

1.1k citations
14 papers · 465 indexed · h-index 10
Topics
Advanced Proteomics Techniques and Applications (5 papers)Cellular transport and secretion (4 papers)Metabolomics and Mass Spectrometry Studies (3 papers)

In The Last Decade

Verônica M. Saia‐Cereda

14 papers receiving 459 citations

Peers

Verônica M. Saia‐Cereda
Comparison fields: 5 of 73
  • Molecular Biology 241
  • Biological Psychiatry 104
  • Cellular and Molecular Neuroscience 100
  • Physiology 91
  • Developmental Neuroscience 61
Replace Avia Merenlender‐Wagner with:
Avia Merenlender‐Wagner Israel
Svenja V. Trossbach Germany
Micah Simmons United States
Emmanouela Kallergi Greece
Hendrik Wesseling United Kingdom
Hector De Jesús‐Cortés United States
Christin Glorioso United States
И. А. Гривенников Russia
Shlomo Sragovich Israel
Marta Garcia‐Miralles Singapore
Verônica M. Saia‐Cereda relative to Avia Merenlender‐Wagner Israel Avia Merenlender‐Wagner's profile →
Citations per field
00.5×3.3×
Avia Merenlender‐Wagner · 1×
Citations per year

Countries citing papers authored by Verônica M. Saia‐Cereda

Since Specialization
Citations

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

Fields of papers citing papers by Verônica M. Saia‐Cereda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Verônica M. Saia‐Cereda. 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 Verônica M. Saia‐Cereda. The network helps show where Verônica M. Saia‐Cereda may publish in the future.

Co-authorship network of co-authors of Verônica M. Saia‐Cereda

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 62
2 17
3 4
4 3
5 59
6 21
7 3
8 102
9 71
10 1
11 24
12 33
13 13
14 52

About Verônica M. Saia‐Cereda

Verônica M. Saia‐Cereda is a scholar working on Biological Psychiatry, Developmental Neuroscience and Spectroscopy, having authored 14 papers that have together received 465 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Cellular transport and secretion (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Biological Psychiatry (104 citations), Developmental Neuroscience (61 citations) and Neurology (54 citations). Verônica M. Saia‐Cereda has collaborated with scholars based in Brazil, Germany and United States. Frequent co-authors include Daniel Martins‐de‐Souza, Juliana Nascimento, Giuliana S. Zuccoli, Juliana S. Cassoli, Andrea Schmitt, Peter Falkai, Stevens K. Rehen, Rafaela Sartore, Flávia Carvalho Alcântara Gomes and Rômulo Sperduto Dezonne. Their work appears in journals such as Neuron, Scientific Reports and Schizophrenia 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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