Silvia Gatti

3.0k citations
45 papers · 2.3k indexed · 1 hit paper · h-index 25
Topics
Neuroscience and Neuropharmacology Research (15 papers)Receptor Mechanisms and Signaling (9 papers)Photoreceptor and optogenetics research (5 papers)

In The Last Decade

Silvia Gatti

44 papers receiving 2.3k citations

Hit Papers

Sleep and circadian rhythm disruption in psychiatric and ...20102026201520202010250500750

Peers

Silvia Gatti
Comparison fields: 5 of 140
  • Molecular Biology 611
  • Endocrine and Autonomic Systems 568
  • Cognitive Neuroscience 481
  • Cellular and Molecular Neuroscience 480
  • Experimental and Cognitive Psychology 390
Replace Min Xu with:
Min Xu China
Jia‐Da Li China
Takahiro J. Nakamura Japan
Ramaswamy Sharma United States
Yoshimi Iwayama Japan
Larry L. Bellinger United States
Ming Xiao China
Dipak K. Sarkar United States
Lulu Mao United States
Eva Benito Spain
Silvia Gatti relative to Min Xu China Min Xu's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Silvia Gatti

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Gatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Gatti

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Gatti. A scholar is included among the top collaborators of Silvia Gatti 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 Silvia Gatti. Silvia Gatti 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 5
2 13
3 12
4 30
5 71
6 26
7 46
8 161
9 75
10 41
11 32
12 12
13 76
14 45
15 4
16 21
17 28
18 36
19 63
20 10

About Silvia Gatti

Silvia Gatti is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Receptor Mechanisms and Signaling (9 papers) and Photoreceptor and optogenetics research (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (568 citations), Biological Psychiatry (97 citations) and Aging (58 citations). Silvia Gatti has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include F. Foster, Joseph G. Wettstein, Katharina Wulff, M. Cannas, Pietro Ghezzi, Raffaella Faggioni, Frédéric Knoflach, Jennifer Beck, Marina Sironi and Alberto Mantovani. Their work appears in journals such as Cell, Nature Communications and Nature reviews. 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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