Paola Noto

17 papers receiving 299 citations

Peers

Paola Noto
Comparison fields: 5 of 73
  • Nephrology 90
  • Cardiology and Cardiovascular Medicine 81
  • Epidemiology 73
  • Critical Care and Intensive Care Medicine 53
  • Oncology 48
Replace Estefanía Gómez‐Pesquera with:
Estefanía Gómez‐Pesquera Spain
Daniel Dankl Austria
Maxime Coutrot France
Jan-Sören Padberg Germany
Aldo Torres‐Ortiz United States
Harold M. Szerlip United States
Vedran Premužić Croatia
Robert P. Richter United States
N. Ridao Spain
Andrea Breglia Italy
Paola Noto relative to Estefanía Gómez‐Pesquera Spain Estefanía Gómez‐Pesquera's profile →
Citations per field
00.5×1.5×2.4×
Estefanía Gómez‐Pesquera · 1×
Citations per year

Countries citing papers authored by Paola Noto

Since Specialization
Citations

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

Fields of papers citing papers by Paola Noto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Noto

This figure shows the co-authorship network connecting the top 25 collaborators of Paola Noto. A scholar is included among the top collaborators of Paola Noto 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 Paola Noto. Paola Noto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 13
3 82
4 2
5 3
6 3
7 11
8 1
9 62
10
Neutrophil gelatinase-associated lipocalin: a novel biomarker for the early diagnosis of acute kidney injury in the emergency department.
41
11 9
12 51
13 2
14 15
15
Hyperhomocysteinemia in preeclampsia is associated to higher risk pressure profiles.
4
16
Hyperhomocysteinemia in menopausal hypertension: an added risk factor and a dangerous association for organ damage.
6
17
[Measurement of carotid intima-media thickness and of pressure variability in arterial hypertension in menopause].
1

About Paola Noto

Paola Noto is a scholar working on Critical Care and Intensive Care Medicine, Applied Microbiology and Biotechnology and Nephrology, having authored 17 papers that have together received 307 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (4 papers), Cardiovascular Health and Disease Prevention (3 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Nephrology (90 citations), Critical Care and Intensive Care Medicine (53 citations) and Cardiology and Cardiovascular Medicine (81 citations). Paola Noto has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include Giuseppe Carpinteri, Lorenzo Malatino, Benedetta Stancanelli, Enrico Di Stasio, Mauro Vaccaro, Paola Ballarino, Michele Colaci, Rossella Marino, Benedetta De Berardinis and Salvatore Di Somma. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Critical Care and Annals of Emergency Medicine.

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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2026