Irinna Papangeli

2.1k total citations · 2 hit papers
17 papers, 1.2k citations indexed

About

Irinna Papangeli is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pharmacology. According to data from OpenAlex, Irinna Papangeli has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Pharmacology. Recurrent topics in Irinna Papangeli's work include Congenital heart defects research (5 papers), Apelin-related biomedical research (4 papers) and Single-cell and spatial transcriptomics (3 papers). Irinna Papangeli is often cited by papers focused on Congenital heart defects research (5 papers), Apelin-related biomedical research (4 papers) and Single-cell and spatial transcriptomics (3 papers). Irinna Papangeli collaborates with scholars based in United States, United Kingdom and South Korea. Irinna Papangeli's co-authors include Peter Scambler, Hyung J. Chun, Kenneth Bedi, Alessandro Arduini, Patrick T. Ellinor, Kenneth B. Margulies, Nathan R. Tucker, Christian M. Stegmann, Amer-Denis Akkad and Stephen J. Fleming and has published in prestigious journals such as Nature, Circulation and Nature Communications.

In The Last Decade

Irinna Papangeli

17 papers receiving 1.2k citations

Hit Papers

Transcriptional and Cellular Diversity of the Human Heart 2020 2026 2022 2024 2020 2022 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Irinna Papangeli United States 15 806 328 182 179 162 17 1.2k
Vaibhao Janbandhu Australia 12 589 0.7× 302 0.9× 131 0.7× 85 0.5× 109 0.7× 17 942
Takako Makita United States 12 757 0.9× 202 0.6× 225 1.2× 130 0.7× 75 0.5× 19 978
Alessandra Drusco United States 16 1.2k 1.5× 370 1.1× 98 0.5× 78 0.4× 401 2.5× 18 1.6k
Mikito Takefuji Japan 20 875 1.1× 408 1.2× 175 1.0× 54 0.3× 135 0.8× 46 1.5k
Michael Broman United States 18 615 0.8× 477 1.5× 90 0.5× 110 0.6× 113 0.7× 34 1.3k
Xingyao Bu China 19 676 0.8× 177 0.5× 250 1.4× 79 0.4× 323 2.0× 49 1.3k
Joshua P. Anderson United States 11 789 1.0× 163 0.5× 371 2.0× 76 0.4× 114 0.7× 12 1.3k
Anke Zieseniß Germany 19 794 1.0× 299 0.9× 139 0.8× 53 0.3× 293 1.8× 29 1.3k
Paolo Kunderfranco Italy 22 1.2k 1.5× 255 0.8× 114 0.6× 159 0.9× 495 3.1× 36 1.7k
Deepak Ramanujam Germany 14 703 0.9× 376 1.1× 127 0.7× 84 0.5× 411 2.5× 21 1.1k

Countries citing papers authored by Irinna Papangeli

Since Specialization
Citations

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

Fields of papers citing papers by Irinna Papangeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irinna Papangeli

This figure shows the co-authorship network connecting the top 25 collaborators of Irinna Papangeli. A scholar is included among the top collaborators of Irinna Papangeli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Irinna Papangeli. Irinna Papangeli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Arduini, Alessandro, Stephen J. Fleming, Ling Xiao, et al.. (2024). Transcriptional profile of the rat cardiovascular system at single-cell resolution. Cell Reports. 44(1). 115091–115091. 4 indexed citations
2.
Chaffin, Mark, Irinna Papangeli, Bridget Simonson, et al.. (2022). Single-nucleus profiling of human dilated and hypertrophic cardiomyopathy. Nature. 608(7921). 174–180. 180 indexed citations breakdown →
3.
Park, Saejeong, Zhiyuan Ma, Georgia Zarkada, et al.. (2022). Endothelial β‐arrestins regulate mechanotransduction by the type II bone morphogenetic protein receptor in primary cilia. Pulmonary Circulation. 12(4). e12167–e12167. 4 indexed citations
4.
Lee, Heon‐Woo, Saejeong Park, Xiaoyue Hu, et al.. (2022). BMPR1A promotes ID2–ZEB1 interaction to suppress excessive endothelial to mesenchymal transition. Cardiovascular Research. 119(3). 813–825. 16 indexed citations
5.
Tucker, Nathan R., Mark Chaffin, Stephen J. Fleming, et al.. (2020). Transcriptional and Cellular Diversity of the Human Heart. Circulation. 142(5). 466–482. 332 indexed citations breakdown →
6.
Memi, Fani, Aglaia Ntokou, & Irinna Papangeli. (2018). CRISPR/Cas9 gene-editing: Research technologies, clinical applications and ethical considerations. Seminars in Perinatology. 42(8). 487–500. 65 indexed citations
7.
Hwangbo, Cheol, Jingxia Wu, Irinna Papangeli, et al.. (2017). Endothelial APLNR regulates tissue fatty acid uptake and is essential for apelin’s glucose-lowering effects. Science Translational Medicine. 9(407). 66 indexed citations
8.
Lee, Aram, et al.. (2017). A PPARγ-dependent miR-424/503-CD40 axis regulates inflammation mediated angiogenesis. Scientific Reports. 7(1). 2528–2528. 33 indexed citations
9.
Papangeli, Irinna, Jong Min Kim, Saejeong Park, et al.. (2016). MicroRNA 139-5p coordinates APLNR-CXCR4 crosstalk during vascular maturation. Nature Communications. 7(1). 11268–11268. 40 indexed citations
10.
Li, Na, Cheol Hwangbo, Irina M. Jaba, et al.. (2016). miR-182 Modulates Myocardial Hypertrophic Response Induced by Angiogenesis in Heart. Scientific Reports. 6(1). 21228–21228. 33 indexed citations
11.
Kim, Jongmin, Cheol Hwangbo, Xiaoyue Hu, et al.. (2014). Restoration of Impaired Endothelial Myocyte Enhancer Factor 2 Function Rescues Pulmonary Arterial Hypertension. Circulation. 131(2). 190–199. 95 indexed citations
12.
Wu, Jingxia, et al.. (2013). Endothelium as a gatekeeper of fatty acid transport. Trends in Endocrinology and Metabolism. 25(2). 99–106. 50 indexed citations
13.
Kim, Jun‐Dae, Yujung Kang, Jong Min Kim, et al.. (2013). Essential Role of Apelin Signaling During Lymphatic Development in Zebrafish. Arteriosclerosis Thrombosis and Vascular Biology. 34(2). 338–345. 40 indexed citations
14.
Papangeli, Irinna & Peter Scambler. (2012). The 22q11 deletion: DiGeorge and velocardiofacial syndromes and the role of TBX1. Wiley Interdisciplinary Reviews Developmental Biology. 2(3). 393–403. 52 indexed citations
15.
Papangeli, Irinna & Peter Scambler. (2012). Tbx1 Genetically Interacts With the Transforming Growth Factor-β/Bone Morphogenetic Protein Inhibitor Smad7 During Great Vessel Remodeling. Circulation Research. 112(1). 90–102. 33 indexed citations
16.
Bueren, Kelly Lammerts van, Irinna Papangeli, Francesca Rochais, et al.. (2010). Hes1 expression is reduced in Tbx1 null cells and is required for the development of structures affected in 22q11 deletion syndrome. Developmental Biology. 340(2). 369–380. 49 indexed citations
17.
Calmont, Amélie, Sarah Ivins, Kelly Lammerts van Bueren, et al.. (2009). Tbx1 controls cardiac neural crest cell migration during arch artery development by regulatingGbx2expression in the pharyngeal ectoderm. Development. 136(18). 3173–3183. 109 indexed citations

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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