Gemma Gatto

959 total citations · 1 hit paper
6 papers, 635 citations indexed

About

Gemma Gatto is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Nephrology. According to data from OpenAlex, Gemma Gatto has authored 6 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 1 paper in Surgery and 1 paper in Nephrology. Recurrent topics in Gemma Gatto's work include Cardiac Valve Diseases and Treatments (4 papers), Cardiovascular Function and Risk Factors (2 papers) and Infective Endocarditis Diagnosis and Management (1 paper). Gemma Gatto is often cited by papers focused on Cardiac Valve Diseases and Treatments (4 papers), Cardiovascular Function and Risk Factors (2 papers) and Infective Endocarditis Diagnosis and Management (1 paper). Gemma Gatto collaborates with scholars based in Italy and United States. Gemma Gatto's co-authors include R Zanettini, Gianni Pezzoli, Angelo Antonini, Silvana Tesei, Ileana Mori, Luigi Martinelli, Stefano Pelenghi, Silvio Klugmann, Oreste Febo and Cristoforo Incorvaia and has published in prestigious journals such as New England Journal of Medicine, Cardiovascular Therapeutics and Monaldi Archives for Chest Disease.

In The Last Decade

Gemma Gatto

4 papers receiving 604 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Valvular Heart Disease and the Use of Dopamine Agonists for Parkinson's Disease

2007 575 citations R Zanettini, Angelo Antonini et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gemma Gatto Italy	4	265	199	179	133	86	6	635
Troels Mygind Jensen Denmark	11	327 1.2×	146 0.7×	104 0.6×	62 0.5×	77 0.9×	22	647
Rajiv Patni United States	9	309 1.2×	83 0.4×	117 0.7×	230 1.7×	18 0.2×	18	549
Simon Bruce United States	10	421 1.6×	169 0.8×	173 1.0×	105 0.8×	32 0.4×	14	723
B Astruc France	9	142 0.5×	74 0.4×	56 0.3×	101 0.8×	154 1.8×	21	689
Mario Pergolini Italy	11	77 0.3×	94 0.5×	74 0.4×	165 1.2×	25 0.3×	17	426
J. A. O’Hare Ireland	9	137 0.5×	38 0.2×	77 0.4×	105 0.8×	54 0.6×	17	463
Yen‐Chieh Lee Taiwan	11	33 0.1×	125 0.6×	143 0.8×	177 1.3×	107 1.2×	18	541
J. Boas Denmark	11	52 0.2×	38 0.2×	324 1.8×	169 1.3×	148 1.7×	14	798
Christopher O. Leonards Germany	8	65 0.2×	157 0.8×	39 0.2×	112 0.8×	82 1.0×	14	408
Philip A. Read United Kingdom	13	422 1.6×	265 1.3×	108 0.6×	775 5.8×	28 0.3×	20	1.1k

Countries citing papers authored by Gemma Gatto

Since Specialization

Citations

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

Fields of papers citing papers by Gemma Gatto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma Gatto

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

All Works

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6 of 6 papers shown

1.

Penati, C., Cristoforo Incorvaia, Valentina Mollo, et al.. (2021). Cardiac rehabilitation outcome after transcatheter aortic valve implantation. Monaldi Archives for Chest Disease. 91(2). 7 indexed citations

2.

Incorvaia, Cristoforo, et al.. (2019). Ematoma spontaneo del retto addominale nell’anziano, complicanza di terapia anticoagulante e antiaggregante piastrinica: caso clinico. Recenti Progressi in Medicina. 110(2). 89–92.

3.

Zanettini, R, Gemma Gatto, Ileana Mori, et al.. (2014). Cardiac rehabilitation and mid-term follow-up after transcatheter aortic valve implantation.. PubMed. 11(4). 279–85. 39 indexed citations

4.

Zanettini, R, et al.. (2010). Regression of Cardiac Valvulopathy Related to Ergot-Derived Dopamine Agonists. Cardiovascular Therapeutics. 29(6). 404–410. 14 indexed citations

5.

Zanettini, R, et al.. (2007). Valvular Heart Disease and the Use of Dopamine Agonists for Parkinson's Disease. New England Journal of Medicine. 356(1). 39–46. 575 indexed citations breakdown →

6.

Caravelli, Paolo, et al.. (1994). [Late ventricular potentials and acute ischemia: study during percutaneous transluminal coronary angioplasty].. PubMed. 39(10). 693–7.

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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