Aldo Pende

66 papers receiving 1.4k citations

Peers

Aldo Pende
Comparison fields: 5 of 109
  • Cardiology and Cardiovascular Medicine 303
  • Immunology 250
  • Behavioral Neuroscience 31
  • Biological Psychiatry 18
  • Molecular Biology 502
Replace Jürgen Metz with:
Jürgen Metz Germany
Louis Ragolia United States
David B. Murray United States
Gillian Douglas United Kingdom
Tomoyuki Honjo Japan
Babett Bartling Germany
Françoise Pecker France
Hiroshi Saito Japan
Greg A. Knock United Kingdom
Henry Diep Australia
Aldo Pende relative to Jürgen Metz Germany Jürgen Metz's profile →
Citations per field
00.5×3.1×
Jürgen Metz · 1×
Citations per year

Countries citing papers authored by Aldo Pende

Since Specialization
Citations

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

Fields of papers citing papers by Aldo Pende

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000206
2 1996130
3 201198
4 201091
5 201068
6 200050
7 201446
8 198944
9 201837
10 201434
11 201933
12 201431
13 201529
14 201427
15 199026
16 200225
17 199823
18 199521
19 199921
20 201821

About Aldo Pende

Aldo Pende is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Immunology and Surgery, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Lipoproteins and Cardiovascular Health (6 papers), RNA Research and Splicing (5 papers), Cardiovascular Health and Disease Prevention (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers) and Bone and Dental Protein Studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (303 citations), Immunology (250 citations), Behavioral Neuroscience (31 citations), Biological Psychiatry (18 citations) and Molecular Biology (502 citations). Aldo Pende has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Fabrizio Montecucco, Franco Dallegri, J. David Port, François Mach, Maria Bertolotto, Burns C. Blaxall, G Lotti, Natale R. Musso, Steven C. Wu and John D. Bisognano. Their work appears in journals such as European Journal of Clinical Investigation, International Journal of Cardiology, Vascular Pharmacology, Clinical and Experimental Pharmacology and Physiology and Biomedicine & Pharmacotherapy.

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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