Gloria Padoani

583 citations
22 papers · 474 indexed · h-index 12
Topics
Neuroscience and Neuropharmacology Research (6 papers)Ion Transport and Channel Regulation (6 papers)Neurological disorders and treatments (4 papers)
Partner nations
ItalySwitzerlandSpain

In The Last Decade

Gloria Padoani

21 papers receiving 465 citations

Peers

Gloria Padoani
Comparison fields: 5 of 81
  • Molecular Biology 223
  • Neurology 101
  • Endocrinology, Diabetes and Metabolism 94
  • Cellular and Molecular Neuroscience 78
  • Cardiology and Cardiovascular Medicine 66
Replace Emmanuel Sturchler with:
Emmanuel Sturchler United States
Rashmi Ray India
Mie Sunamoto Japan
Renato Laffranchi Switzerland
Agnieszka Morel Poland
Tatsunori Oguchi Japan
Isabella Peixoto de Barcelos United States
Mostafa A. Rabie Egypt
Fabian Klaus Germany
Angélica Rueda Mexico
Gloria Padoani relative to Emmanuel Sturchler United States Emmanuel Sturchler's profile →
Citations per field
00.5×3.6×
Emmanuel Sturchler · 1×
Citations per year

Countries citing papers authored by Gloria Padoani

Since Specialization
Citations

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

Fields of papers citing papers by Gloria Padoani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gloria Padoani

This figure shows the co-authorship network connecting the top 25 collaborators of Gloria Padoani. A scholar is included among the top collaborators of Gloria Padoani 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 Gloria Padoani. Gloria Padoani 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 0
2 22
3 13
4 17
5 26
6 27
7 41
8 5
9 30
10 46
11 4
12 59
13 59
14 2
15 80
16 3
17 21
18 4
19 8
20 1

About Gloria Padoani

Gloria Padoani is a scholar working on Cellular and Molecular Neuroscience, Neurology and Biochemistry, having authored 22 papers that have together received 474 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Ion Transport and Channel Regulation (6 papers) and Neurological disorders and treatments (4 papers). The work is most often cited by research in Neurology (101 citations), Endocrinology, Diabetes and Metabolism (94 citations) and Nephrology (34 citations). Gloria Padoani has collaborated with scholars based in Italy, Switzerland and Spain. Frequent co-authors include Paolo Ferrari, Lucia Torielli, Giuseppe Bianchi, Piero Melloni, Mara Ferrandi, Silvia Vailati, Elsa Melloni, Carla Caccia, Michele Morari and Alberto Brugnoli. Their work appears in journals such as Neuroscience, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

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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