Robert E. Monticone

4.2k citations
48 papers · 3.6k · h-index 29

Impact in

Papers in

Robert E. Monticone

47 papers receiving 3.5k citations

Peers

Robert E. Monticone
Comparison fields: 5 of 89
  • Aging 132
  • Cardiology and Cardiovascular Medicine 1.1k
  • Cancer Research 417
  • Immunology 430
  • Immunology and Allergy 98
Replace Toshio Nagai with:
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Jens W. Fischer Germany
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Abdelkarim Sabri United States
Lula L. Hilenski United States
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Robert E. Monticone relative to Toshio Nagai Japan Toshio Nagai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert E. Monticone

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Monticone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Monticone. 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 Robert E. Monticone. The network helps show where Robert E. Monticone may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert E. Monticone, 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 Robert E. Monticone Line = papers co-authored together Robert E. Monticone 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 1994279
2 2007230
3 2006223
4 1995218
5 2011207
6 2013167
7 2015167
8 2004162
9 2005154
10 2010138
11 2012111
12 1998106
13 2010104
14 1995102
15 2001102
16 200889
17 200989
18 201286
19 201286
20
Experimental models that mimic the differentiation and dedifferentiation of vascular cells.
199280

About Robert E. Monticone

Robert E. Monticone is a scholar working on Cardiology and Cardiovascular Medicine, Immunology, Cancer Research, Cell Biology and Molecular Biology, having authored 48 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (14 papers), Atherosclerosis and Cardiovascular Diseases (13 papers), Renin-Angiotensin System Studies (10 papers), TGF-β signaling in diseases (6 papers), Protease and Inhibitor Mechanisms (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Cellular Mechanics and Interactions (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Aging (132 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Cancer Research (417 citations), Immunology (430 citations) and Immunology and Allergy (98 citations). Robert E. Monticone has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Edward G. Lakatta, Mingyi Wang, Gaia Spinetti, Michael T. Crow, Rebecca Rainer Pauly, Liqun Jiang, Claudio Bilato, Gianfranco Pintus, Richard S. Telljohann and Di Zhao. Their work appears in journals such as Hypertension, Journal of Clinical Investigation, PLoS ONE, The Journals of Gerontology Series A and Circulation Research.

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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