Nuno Guimarães‐Camboa

3.2k citations
16 papers · 1.7k indexed · 2 hit papers · h-index 13

Nuno Guimarães‐Camboa

16 papers receiving 1.7k citations

Hit Papers

Pericytes of Multiple Organs Do Not Behave as Mesenchymal...3612014202620182022100200300400

Peers

Nuno Guimarães‐Camboa
Comparison fields: 5 of 92
  • Cardiology and Cardiovascular Medicine 633
  • Genetics 221
  • Molecular Biology 985
  • Aging 19
  • Surgery 457
Replace Paola Cattaneo with:
Paola Cattaneo Italy
Elisa Avolio United Kingdom
Munira Xaymardan Australia
Cécile Duplàa France
Kristy Red‐Horse United States
Hideyuki Beppu United States
Michael G. Poulos United States
Sean C. Goetsch United States
Christel van Erp United States
Georgiana Cheng United States
Nuno Guimarães‐Camboa relative to Paola Cattaneo Italy Paola Cattaneo's profile →
Citations per field
00.5×1.5×2.1×
Paola Cattaneo · 1×
Citations per year

Countries citing papers authored by Nuno Guimarães‐Camboa

Since Specialization
Citations

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

Fields of papers citing papers by Nuno Guimarães‐Camboa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nuno Guimarães‐Camboa. 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 Nuno Guimarães‐Camboa. The network helps show where Nuno Guimarães‐Camboa may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 202213
2 202221
3 202211
4 202062
5 2019113
6 20191
7 201953
8
Pericytes of Multiple Organs Do Not Behave as Mesenchymal Stem Cells In Vivobreakdown →
2017361
9 201758
10 201734
11 20167
12 2015120
13 201599
14
Resident fibroblast lineages mediate pressure overload–induced cardiac fibrosisbreakdown →
2014486
15 201241
16 2009190

About Nuno Guimarães‐Camboa

Nuno Guimarães‐Camboa is a scholar working on Aging, Cardiology and Cardiovascular Medicine and Urology, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Congenital heart defects research (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Tissue Engineering and Regenerative Medicine (2 papers), Adipose Tissue and Metabolism (2 papers), RNA modifications and cancer (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Single-cell and spatial transcriptomics (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (633 citations), Genetics (221 citations) and Molecular Biology (985 citations). Nuno Guimarães‐Camboa has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Sylvia Μ. Evans, Thomas Moore‐Morris, Nancy D. Dalton, Kirk L. Peterson, Yusu Gu, William B. Stallcup, Ju Chen, Paola Cattaneo, Alexander C. Zambon and Marta Cedenilla. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Nature Communications.

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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