Marcelo Ganzella

1.3k citations
35 papers · 904 indexed · h-index 19
Topics
Neuroscience and Neuropharmacology Research (20 papers)Lipid Membrane Structure and Behavior (12 papers)Cellular transport and secretion (11 papers)

In The Last Decade

Marcelo Ganzella

35 papers receiving 895 citations

Peers

Marcelo Ganzella
Comparison fields: 5 of 90
  • Molecular Biology 439
  • Cellular and Molecular Neuroscience 317
  • Cell Biology 165
  • Physiology 133
  • Physiology 115
Replace Katherine J. Kopeikina with:
Katherine J. Kopeikina United States
Paula E. Jarvie Australia
Gerda Huber Switzerland
Ekaterina Pchitskaya Russia
Deborah K. Verges United States
Chiara Cervetto Italy
Mikako Sakurai Japan
Paola Tarroni Italy
Éva M. Szegő Germany
Cynthia Bleiwas United States
Marcelo Ganzella relative to Katherine J. Kopeikina United States Katherine J. Kopeikina's profile →
Citations per field
00.5×1.7×
Katherine J. Kopeikina · 1×
Citations per year

Countries citing papers authored by Marcelo Ganzella

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Ganzella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelo Ganzella

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Ganzella. A scholar is included among the top collaborators of Marcelo Ganzella 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 Marcelo Ganzella. Marcelo Ganzella 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 3
2 1
3 32
4 22
5 5
6 48
7 3
8 7
9 11
10 15
11 35
12 22
13 25
14 57
15 20
16 18
17 17
18 44
19 15
20 29

About Marcelo Ganzella

Marcelo Ganzella is a scholar working on Biological Psychiatry, Physiology and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 904 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Lipid Membrane Structure and Behavior (12 papers) and Cellular transport and secretion (11 papers). The work is most often cited by research in Biological Psychiatry (105 citations), Physiology (133 citations) and Cellular and Molecular Neuroscience (317 citations). Marcelo Ganzella has collaborated with scholars based in Germany, Brazil and United States. Frequent co-authors include Diogo O. Souza, Reinhard Jahn, Roberto Farina Almeida, Deusa Vendite, Carina Rodrigues Boeck, Xiandeng Wu, Mingjie Zhang, Julia Preobraschenski, Samanta Oliveira Loureiro and Gisele Hansel. Their work appears in journals such as Nature, Cell and Nature Communications.

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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