R Ripa

2.9k citations
115 papers · 2.2k indexed · h-index 27

R Ripa

109 papers receiving 2.1k citations

Peers

R Ripa
Comparison fields: 5 of 95
  • Genetics 506
  • Cardiology and Cardiovascular Medicine 723
  • Radiology, Nuclear Medicine and Imaging 424
  • Surgery 667
  • Biomaterials 188
Replace Mercè Roqué with:
Mercè Roqué Spain
Aleksandr Rovner United States
Stephanie Lehrke Germany
Eugenio Quaini Italy
Dominique PV de Kleijn Netherlands
Marta Todeschini Italy
Mirjam B. Smeets Netherlands
George R. McKendall United States
Daniel P. Griese Germany
Alexander Schmeißer Germany
R Ripa relative to Mercè Roqué Spain Mercè Roqué's profile →
Citations per field
00.5×1.5×2.3×
Mercè Roqué · 1×
Citations per year

Countries citing papers authored by R Ripa

Since Specialization
Citations

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

Fields of papers citing papers by R Ripa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20237
3 20220
4 20226
5 202230
6 20224
7 202133
8 20214
9 202110
10 201911
11 201819
12 20164
13 20168
14
Feasibility of simultaneous PET/MR of the carotid artery: first clinical experience and comparison to PET/CT
20132
15 20115
16 20076
17 200511
18 20046
19
[Zinc and diabetes mellitus].
19959
20
Le mérite et l'amour
199416

About R Ripa

R Ripa is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 115 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (33 papers), Mesenchymal stem cell research (18 papers), Cerebrovascular and Carotid Artery Diseases (17 papers), Acute Myocardial Infarction Research (13 papers), Medical Imaging Techniques and Applications (11 papers), Cardiovascular Disease and Adiposity (11 papers), Cardiovascular Function and Risk Factors (10 papers) and Coronary Interventions and Diagnostics (9 papers). The work is most often cited by research in Genetics (506 citations), Cardiology and Cardiovascular Medicine (723 citations) and Radiology, Nuclear Medicine and Imaging (424 citations). R Ripa has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Jens Kastrup, Erik Jørgensen, Andreas Kjær, Yongzhong Wang, Jens Christian Nilsson, Lars Søndergaard, Peer Grande, Hans Erik Johnsen, Jens Jakob Thune and Lars Køber. Their work appears in journals such as Journal of Nuclear Cardiology, Scandinavian Journal of Clinical and Laboratory Investigation, International Journal of Cardiology, American Heart Journal and European Heart Journal.

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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