Patrizia Pignataro

503 citations
20 papers · 383 indexed · h-index 13
Topics
Adipose Tissue and Metabolism (17 papers)Mitochondrial Function and Pathology (4 papers)Stress Responses and Cortisol (3 papers)
Partner nations
ItalyUnited States

In The Last Decade

Patrizia Pignataro

19 papers receiving 382 citations

Peers

Patrizia Pignataro
Comparison fields: 5 of 64
  • Physiology 294
  • Molecular Biology 164
  • Rehabilitation 54
  • Epidemiology 53
  • Nutrition and Dietetics 38
Replace Pavithra Premkumar with:
Pavithra Premkumar United States
Denisa Máderová Slovakia
Insu Kwon United States
Roksana M. Pirzgalska Portugal
Lingchi Xu China
Robby Zachariah Tom Germany
Gabriel Keine Kuga Brazil
Samina S. Riaz United Kingdom
João Paulo Cavalcanti‐de‐Albuquerque Brazil
Sohee Moon South Korea
Patrizia Pignataro relative to Pavithra Premkumar United States Pavithra Premkumar's profile →
Citations per field
00.5×2.7×
Pavithra Premkumar · 1×
Citations per year

Countries citing papers authored by Patrizia Pignataro

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Pignataro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrizia Pignataro

This figure shows the co-authorship network connecting the top 25 collaborators of Patrizia Pignataro. A scholar is included among the top collaborators of Patrizia Pignataro 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 Patrizia Pignataro. Patrizia Pignataro 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 1
2 0
3 4
4 19
5 9
6 14
7 14
8 2
9 14
10 14
11 18
12 10
13 3
14 28
15 20
16 83
17 18
18 49
19 50
20 13

About Patrizia Pignataro

Patrizia Pignataro is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Physiology, having authored 20 papers that have together received 383 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (17 papers), Mitochondrial Function and Pathology (4 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Physiology (294 citations), Behavioral Neuroscience (31 citations) and Biological Psychiatry (21 citations). Patrizia Pignataro has collaborated with scholars based in Italy and United States. Frequent co-authors include Maria Grano, Silvia Colucci, Manuela Dicarlo, Roberta Zerlotin, Graziana Colaianni, Angela Oranger, Giuseppina Storlino, Lorenzo Sanesi, Maria Teresa Dell’Abate and Cinzia Buccoliero. Their work appears in journals such as Annals of Neurology, The FASEB Journal and International Journal of Molecular Sciences.

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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