Lucrezia Netti

12 papers receiving 446 citations

Hit Papers

Ischemic Heart Disease Pathophysiology Paradigms Overview...2020202620222024202050100150200

Peers

Lucrezia Netti
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 218
  • Surgery 107
  • Molecular Biology 102
  • Radiology, Nuclear Medicine and Imaging 82
  • Pathology and Forensic Medicine 45
Replace Mariateresa Pucci with:
Mariateresa Pucci Italy
Chih‐Chan Lin Taiwan
Runzhen Chen China
Lisa Dannenberg Germany
Νικόλαος Κούμαλλος Greece
Ruicong Xue China
Takeshi Tobiume Japan
Chaitanya Madamanchi United States
Mitsumasa Hirano Japan
Lucrezia Netti relative to Mariateresa Pucci Italy Mariateresa Pucci's profile →
Citations per field
00.5×1.5×
Mariateresa Pucci · 1×
Citations per year

Countries citing papers authored by Lucrezia Netti

Since Specialization
Citations

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

Fields of papers citing papers by Lucrezia Netti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucrezia Netti

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 3
5 4
6 1
7 24
8 22
9
Ischemic Heart Disease Pathophysiology Paradigms Overview: From Plaque Activation to Microvascular Dysfunctionbreakdown →
216
10 24
11 54
12 49
13 3
14 0
15 53

About Lucrezia Netti

Lucrezia Netti is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Nephrology, having authored 15 papers that have together received 455 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Cardiovascular Effects of Exercise (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (218 citations), Radiology, Nuclear Medicine and Imaging (82 citations) and Pathology and Forensic Medicine (45 citations). Lucrezia Netti has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Andrea D’Amato, Paolo Severino, Francesco Fedele, Mariateresa Pucci, Viviana Maestrini, Fabio Infusino, Lucia Ilaria Birtolo, Massimo Mancone, Carlo Lavalle and Cristina Chimenti. Their work appears in journals such as International Journal of Molecular Sciences, European Heart Journal and European Journal of Heart Failure.

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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