Daniela Fraccarollo

5.7k citations
96 papers · 4.5k · h-index 36

Impact in

Papers in

Daniela Fraccarollo

95 papers receiving 4.4k citations

Peers

Daniela Fraccarollo
Comparison fields: 5 of 112
  • Cardiology and Cardiovascular Medicine 1.6k
  • Endocrinology, Diabetes and Metabolism 688
  • Physiology 944
  • Biochemistry 182
  • Molecular Biology 1.3k
Replace Shokei Kim‐Mitsuyama with:
Shokei Kim‐Mitsuyama Japan
Pierre Paradis Canada
Melvin R. Hayden United States
Valentina Kon United States
Pingjin Gao China
Xinliang Ma United States
Shouji Matsushima Japan
Christian Rask‐Madsen United States
Luigi Gnudi United Kingdom
Raymond R. Russell United States
Daniela Fraccarollo relative to Shokei Kim‐Mitsuyama Japan Shokei Kim‐Mitsuyama's profile →
Citations per field
00.5×1.5×
Shokei Kim‐Mitsuyama · 1×
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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007325
2 1999300
3 2018247
4 2001227
5 2015173
6 2011173
7 2012151
8 1997141
9 2003123
10 2002122
11 2009115
12 2003109
13 2012103
14 2014102
15 200899
16 201698
17 200896
18 200684
19 201681
20 200768

About Daniela Fraccarollo

Daniela Fraccarollo is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 96 papers that have together received 4.5k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (21 papers), Hormonal Regulation and Hypertension (13 papers), Cardiac Fibrosis and Remodeling (10 papers), Peptidase Inhibition and Analysis (9 papers), Signaling Pathways in Disease (7 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Cardiac Ischemia and Reperfusion (6 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Endocrinology, Diabetes and Metabolism (688 citations), Physiology (944 citations), Biochemistry (182 citations) and Molecular Biology (1.3k citations). Daniela Fraccarollo has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Johann Bauersachs, Georg Ertl, Paolo Galuppo, Andreas Schäfer, Michael Christ, Kai Hu, Julian D. 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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