Francesca Seta

2.3k citations
48 papers · 1.9k · h-index 27

Impact in

Papers in

Francesca Seta

45 papers receiving 1.9k citations

Peers

Francesca Seta
Comparison fields: 5 of 106
  • Biochemistry 268
  • Biochemistry 146
  • Cardiology and Cardiovascular Medicine 450
  • Geriatrics and Gerontology 62
  • Pharmacology 231
Replace Kazunori Utsunomiya with:
Kazunori Utsunomiya Japan
Eva H.C. Tang Hong Kong
Dierk Endemann Germany
Hirofumi Hitomi Japan
Teresa Auguet Spain
Joshua P. Fessel United States
Anca D. Dobrian United States
Daniele Versari Italy
Bernd van der Loo Switzerland
Thomas Quaschning Germany
Francesca Seta relative to Kazunori Utsunomiya Japan Kazunori Utsunomiya's profile →
Citations per field
00.5×2.7×
Kazunori Utsunomiya · 1×
Citations per year

Countries citing papers authored by Francesca Seta

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Seta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Francesca Seta, 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 Francesca Seta Line = papers co-authored together Francesca Seta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013244
2 2002183
3 200787
4 200086
5 200683
6 200378
7 200978
8 201676
9 199969
10 201768
11 200361
12 201553
13 201652
14 201652
15 201642
16 200942
17 201142
18 201741
19 201339
20 200739

About Francesca Seta

Francesca Seta is a scholar working on Cardiology and Cardiovascular Medicine, Biochemistry, Molecular Biology, Pulmonary and Respiratory Medicine and Physiology, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (11 papers), Cardiovascular Health and Disease Prevention (10 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers), Inflammatory mediators and NSAID effects (6 papers), Pulmonary Hypertension Research and Treatments (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Blood Pressure and Hypertension Studies (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Biochemistry (268 citations), Biochemistry (146 citations), Cardiology and Cardiovascular Medicine (450 citations), Geriatrics and Gerontology (62 citations) and Pharmacology (231 citations). Francesca Seta has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Richard A. Cohen, Michal L. Schwartzman, Robert M. Weisbrod, Jessica Fry, Paola Patrignani, Michael W. Dunn, Stefania Tacconelli, Leona Al Sayah, Markus Bachschmid and Lakshmi Santhanam. Their work appears in journals such as Hypertension, Circulation Research, Circulation, Journal of Pharmacology and Experimental Therapeutics and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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