Gaia Cermenati

1.5k citations
26 papers · 1.2k indexed · h-index 21
Topics
Peroxisome Proliferator-Activated Receptors (8 papers)Adipose Tissue and Metabolism (7 papers)Cholesterol and Lipid Metabolism (5 papers)
Partner nations
ItalyUnited StatesSpain

In The Last Decade

Gaia Cermenati

26 papers receiving 1.2k citations

Peers

Gaia Cermenati
Comparison fields: 5 of 113
  • Molecular Biology 564
  • Physiology 416
  • Cellular and Molecular Neuroscience 186
  • Epidemiology 159
  • Immunology 124
Replace Judith Y. Altarejos with:
Judith Y. Altarejos United States
Hua Tian China
Kai Zhong China
Rodrigo Portes Ureshino Brazil
Garron T. Dodd Australia
Xiaohui Wang China
Melissa Nassif Chile
Gee Euhn Choi South Korea
Hae Sook Noh South Korea
Gaia Cermenati relative to Judith Y. Altarejos United States Judith Y. Altarejos's profile →
Citations per field
00.5×
Judith Y. Altarejos · 1×
Citations per year

Countries citing papers authored by Gaia Cermenati

Since Specialization
Citations

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

Fields of papers citing papers by Gaia Cermenati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaia Cermenati

This figure shows the co-authorship network connecting the top 25 collaborators of Gaia Cermenati. A scholar is included among the top collaborators of Gaia Cermenati 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 Gaia Cermenati. Gaia Cermenati 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 25
2 116
3 41
4 28
5 49
6 38
7 33
8 31
9 100
10 106
11 30
12 44
13 39
14 80
15 16
16 66
17 22
18 20
19
A morphological and functional characterization of Bombyx mori larval midgut cells in culture
25
20 14

About Gaia Cermenati

Gaia Cermenati is a scholar working on Geriatrics and Gerontology, Physiology and Behavioral Neuroscience, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Adipose Tissue and Metabolism (7 papers) and Cholesterol and Lipid Metabolism (5 papers). The work is most often cited by research in Physiology (416 citations), Behavioral Neuroscience (56 citations) and Geriatrics and Gerontology (51 citations). Gaia Cermenati has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Nico Mitro, Donatella Caruso, Roberto Cosimo Melcangi, Emma De Fabiani, Maurizio Crestani, Silvia Giatti, Luis Miguel García‐Segura, Marzia Pesaresi, Enrique Sáez and Matteo Audano. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

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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