Daniela Fraccarollo

5.8k citations
97 papers · 4.9k · h-index 37

Impact in

Papers in

Daniela Fraccarollo

96 papers receiving 4.7k citations

Peers

Daniela Fraccarollo
Comparison fields: 5 of 120
  • Cardiology and Cardiovascular Medicine 1.7k
  • Endocrinology, Diabetes and Metabolism 772
  • Physiology 1.0k
  • Biochemistry 206
  • Molecular Biology 1.4k
Replace Pierre Paradis with:
Pierre Paradis Canada
Melvin Ray Hayden United States
Pingjin Gao China
Deborah A. Siwik United States
Tetsuo Minamino Japan
Shouji Matsushima Japan
Luigi Gnudi United Kingdom
Toshihiro Ichiki Japan
Raymond R. Russell United States
Hiromichi Wada Japan
Daniela Fraccarollo relative to Pierre Paradis Canada Pierre Paradis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Fraccarollo

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Fraccarollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Fraccarollo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Fraccarollo Line = papers co-authored together Daniela Fraccarollo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007341
2 1999310
3 2018270
4 2001233
5 2015194
6 2011186
7 2012164
8 1997146
9 2003132
10 2002131
11 2009126
12 2003119
13 2016110
14 2012109
15 2014105
16 2008103
17 2008103
18 200689
19 201684
20 200772

About Daniela Fraccarollo

Daniela Fraccarollo is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Endocrinology, Diabetes and Metabolism, Oncology and Biochemistry, having authored 97 papers that have together received 4.9k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (21 papers), Hormonal Regulation and Hypertension (14 papers), Cardiac Fibrosis and Remodeling (10 papers), Peptidase Inhibition and Analysis (9 papers), Signaling Pathways in Disease (6 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers) and Cardiac Ischemia and Reperfusion (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Endocrinology, Diabetes and Metabolism (772 citations), Physiology (1.0k citations), Biochemistry (206 citations) and Molecular Biology (1.4k citations). Daniela Fraccarollo has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Johann K Bauersachs, Georg Ertl, Paolo Galuppo, Michael Christ, Andreas Schäfer, Kai Hu, Julian Daniel Widder, Thomas Thum, Dimitrios Tsikas and Stefan Frantz. Their work appears in journals such as Cardiovascular Research, Circulation, Hypertension, Arteriosclerosis Thrombosis and Vascular Biology and Basic Research in Cardiology.

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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