Umberto Gianni

1.1k total citations
7 papers, 42 citations indexed

About

Umberto Gianni is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Umberto Gianni has authored 7 papers receiving a total of 42 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Umberto Gianni's work include Cardiac Imaging and Diagnostics (5 papers), Acute Myocardial Infarction Research (4 papers) and Coronary Interventions and Diagnostics (3 papers). Umberto Gianni is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Acute Myocardial Infarction Research (4 papers) and Coronary Interventions and Diagnostics (3 papers). Umberto Gianni collaborates with scholars based in United States, Italy and Netherlands. Umberto Gianni's co-authors include Inge J. van den Hoogen, Fay Y. Lin, Maurizio Ferrario, James P. Earls, Alessandra Repetto, Gabriele Crimi, Gaetano Maria De Ferrari, Silvia Pica, Aloke V. Finn and Sergio Leonardi and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and JACC. Cardiovascular imaging.

In The Last Decade

Umberto Gianni

6 papers receiving 42 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Umberto Gianni United States 3 23 18 15 15 9 7 42
Elie Akl Canada 5 15 0.7× 17 0.9× 5 0.3× 33 2.2× 12 1.3× 15 57
Xiao-Fang Xu Australia 4 9 0.4× 9 0.5× 25 1.7× 22 1.5× 6 0.7× 7 56
Hannes Melnyk Germany 4 7 0.3× 12 0.7× 7 0.5× 27 1.8× 14 1.6× 6 45
Lucinda Wynne United Kingdom 2 17 0.7× 15 0.8× 6 0.4× 12 0.8× 4 0.4× 5 34
Shih‐Hsiang Ou Taiwan 5 8 0.3× 17 0.9× 14 0.9× 7 0.5× 14 1.6× 15 58
Rosina Arbucci Argentina 4 38 1.7× 10 0.6× 6 0.4× 50 3.3× 10 1.1× 25 60
I. Meray Russia 4 12 0.5× 17 0.9× 2 0.1× 27 1.8× 7 0.8× 19 43
Hosei Kikushima Japan 4 8 0.3× 14 0.8× 3 0.2× 13 0.9× 4 0.4× 7 31
Salvatore Ivan Caico Italy 7 11 0.5× 19 1.1× 9 0.6× 87 5.8× 4 0.4× 21 106
E Mahfouz Egypt 3 17 0.7× 9 0.5× 5 0.3× 35 2.3× 3 0.3× 5 52

Countries citing papers authored by Umberto Gianni

Since Specialization
Citations

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

Fields of papers citing papers by Umberto Gianni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umberto Gianni

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

All Works

7 of 7 papers shown
1.
Lin, Fay Y., Umberto Gianni, Yao Lu, et al.. (2023). HISTOLOGIC ARTERIAL LANDMARKS FOR CCTA VISUALIZED ATHEROSCLEROTIC PLAQUE: THE DISCOVER-VP STUDY. Journal of the American College of Cardiology. 81(8). 1373–1373.
2.
Hoogen, Inge J. van den, Umberto Gianni, Malissa J. Wood, et al.. (2020). The Clinical Spectrum of Myocardial Infarction and Ischemia With Nonobstructive Coronary Arteries in Women. JACC. Cardiovascular imaging. 14(5). 1053–1062. 4 indexed citations
3.
Baskaran, Lohendran, Gurpreet Singh, Zhuoran Xu, et al.. (2020). AUTOMATIC SEGMENTATION OF CARDIOVASCULAR STRUCTURES IMAGED ON CARDIAC COMPUTED TOMOGRAPHY ANGIOGRAPHY USING DEEP LEARNING. Journal of the American College of Cardiology. 75(11). 3497–3497. 1 indexed citations
4.
Hoogen, Inge J. van den, Umberto Gianni, A. Maxim Bax, et al.. (2020). Sex-specific risk for ischemia by invasive fractional flow reserve according to coronary atherosclerotic features: results from the CREDENCE trial. European Heart Journal. 41(Supplement_2). 1 indexed citations
5.
Hoogen, Inge J. van den, Umberto Gianni, Omar Al Hussein Alawamlh, et al.. (2019). What atherosclerosis findings can CT see in sudden coronary death: Plaque rupture versus plaque erosion. Journal of cardiovascular computed tomography. 14(3). 214–218. 14 indexed citations
6.
Mandurino‐Mirizzi, Alessandro, Gabriele Crimi, Claudia Raineri, et al.. (2018). Elevated serum uric acid affects myocardial reperfusion and infarct size in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention. Journal of Cardiovascular Medicine. 19(5). 240–246. 21 indexed citations
7.
Spoladore, Roberto, et al.. (2014). Multimodality imaging of mid-ventricular obstruction in left ventricular noncompaction. European Heart Journal - Cardiovascular Imaging. 15(7). 775–775. 1 indexed citations

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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