Gaia Scabia

651 citations
14 papers · 347 indexed · h-index 11
Topics
Regulation of Appetite and Obesity (4 papers)Adipose Tissue and Metabolism (3 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)
Partner nations
ItalyUnited StatesFrance

In The Last Decade

Gaia Scabia

14 papers receiving 345 citations

Peers

Gaia Scabia
Comparison fields: 5 of 81
  • Physiology 94
  • Molecular Biology 89
  • Endocrine and Autonomic Systems 64
  • Cell Biology 61
  • Epidemiology 59
Replace Daniel H. Moralejo with:
Daniel H. Moralejo United States
Mingju Cao Canada
Juliana Barrios United States
Carolina Prado de França Carvalho Brazil
Silke Wiegand Germany
Davelene D. Israel United States
Tadayoshi Hata Japan
Hiroko Shiina Japan
Alastair Macdonald United Kingdom
Gabriel Sturm United States
Gaia Scabia relative to Daniel H. Moralejo United States Daniel H. Moralejo's profile →
Citations per field
00.5×2.7×
Daniel H. Moralejo · 1×
Citations per year

Countries citing papers authored by Gaia Scabia

Since Specialization
Citations

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

Fields of papers citing papers by Gaia Scabia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaia Scabia

This figure shows the co-authorship network connecting the top 25 collaborators of Gaia Scabia. A scholar is included among the top collaborators of Gaia Scabia 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 Scabia. Gaia Scabia 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 3
2 1
3 23
4 15
5 12
6 31
7 16
8 15
9 46
10 53
11 10
12 53
13 27
14 42

About Gaia Scabia

Gaia Scabia is a scholar working on Endocrine and Autonomic Systems, Developmental Neuroscience and Cell Biology, having authored 14 papers that have together received 347 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (4 papers), Adipose Tissue and Metabolism (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (64 citations), Developmental Neuroscience (17 citations) and Cell Biology (61 citations). Gaia Scabia has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Margherita Maffei, Ferruccio Santini, Ilaria Barone, Lamberto Maffei, Marco Mainardi, Paolo Vitti, Tommaso Pizzorusso, Aldo Pinchera, Giovanni Ceccarini and Terence Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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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