Roberto Della Bruna

937 citations
30 papers · 734 indexed · h-index 15

Roberto Della Bruna

29 papers receiving 718 citations

Peers

Roberto Della Bruna
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 480
  • Transplantation 51
  • Endocrinology, Diabetes and Metabolism 210
  • Physiology 33
  • Physiology 140
Replace J R Ingelfinger with:
J R Ingelfinger United States
Jay J. Kuo United States
Emanuel Fritschka Germany
M. J. Fiksen-Olsen United States
J. C. Romero United States
L. C. Rump Germany
Kenzo Uchida Japan
Scheen Aj Belgium
Renato O. Crajoinas Brazil
Hiromichi Suzuki Japan
Roberto Della Bruna relative to J R Ingelfinger United States J R Ingelfinger's profile →
Citations per field
00.5×8.3×
J R Ingelfinger · 1×
Citations per year

Countries citing papers authored by Roberto Della Bruna

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Della Bruna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Della Bruna. 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 Roberto Della Bruna. The network helps show where Roberto Della Bruna may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20222
2 20205
3 20202
4 201611
5 20151
6 201013
7 200912
8 199628
9 199620
10 199616
11 19953
12 199519
13 199531
14 199526
15 199423
16 199342
17 19918
18 199014
19 198883
20 198831

About Roberto Della Bruna

Roberto Della Bruna is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice and Transplantation, having authored 30 papers that have together received 734 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (15 papers), Receptor Mechanisms and Signaling (10 papers), Nitric Oxide and Endothelin Effects (5 papers), Healthcare cost, quality, practices (3 papers), Phosphodiesterase function and regulation (3 papers), Ion channel regulation and function (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (480 citations), Transplantation (51 citations) and Endocrinology, Diabetes and Metabolism (210 citations). Roberto Della Bruna has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Armin Kurtz, Josef Pfeilschifter, Christian Bauer, Armin Kurtz, R. Taugner, Karlwilhelm Kühn, F Pinet, K. Th. Schricker, Pierre Corvol and Armin Kurtz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation Research and FEBS Letters.

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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