Eleonora Adami

3.5k total citations
17 papers, 739 citations indexed

About

Eleonora Adami is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eleonora Adami has authored 17 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eleonora Adami's work include RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers) and Cardiac Fibrosis and Remodeling (4 papers). Eleonora Adami is often cited by papers focused on RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers) and Cardiac Fibrosis and Remodeling (4 papers). Eleonora Adami collaborates with scholars based in Singapore, United Kingdom and Germany. Eleonora Adami's co-authors include Sebastian Schäfer, Stuart A. Cook, Norbert Hübner, Sivakumar Viswanathan, Sonia Chothani, Anissa A. Widjaja, Jessie Tan, Matthias Heinig, Nikolaus Rajewsky and Jinrui Dong and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Eleonora Adami

17 papers receiving 734 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eleonora Adami Singapore 12 402 153 117 98 85 17 739
Jian Kang China 17 315 0.8× 49 0.3× 129 1.1× 100 1.0× 39 0.5× 42 617
Tara L. Sander United States 12 433 1.1× 80 0.5× 107 0.9× 73 0.7× 56 0.7× 19 598
Maoyun Sun United States 15 373 0.9× 66 0.4× 128 1.1× 88 0.9× 72 0.8× 21 543
Tomohisa Sakaue Japan 13 287 0.7× 115 0.8× 67 0.6× 91 0.9× 76 0.9× 41 570
Mika Wakabayashi Japan 12 393 1.0× 50 0.3× 55 0.5× 79 0.8× 55 0.6× 19 575
May Truongcao United States 11 441 1.1× 111 0.7× 68 0.6× 109 1.1× 48 0.6× 18 662
Julien Villeneuve France 17 306 0.8× 41 0.3× 97 0.8× 66 0.7× 43 0.5× 27 753
Natali Froese Germany 11 299 0.7× 168 1.1× 54 0.5× 42 0.4× 32 0.4× 19 509
Yulan Qing United States 11 289 0.7× 111 0.7× 311 2.7× 276 2.8× 45 0.5× 17 698
Kathleen Woodruff United States 13 337 0.8× 50 0.3× 73 0.6× 153 1.6× 49 0.6× 20 577

Countries citing papers authored by Eleonora Adami

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Adami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleonora Adami

This figure shows the co-authorship network connecting the top 25 collaborators of Eleonora Adami. A scholar is included among the top collaborators of Eleonora Adami 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 Eleonora Adami. Eleonora Adami 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.
Widjaja, Anissa A., Sivakumar Viswanathan, Shamini G. Shekeran, et al.. (2022). Targeting endogenous kidney regeneration using anti-IL11 therapy in acute and chronic models of kidney disease. Nature Communications. 13(1). 7497–7497. 41 indexed citations
2.
Ng, Benjamin, Sivakumar Viswanathan, Anissa A. Widjaja, et al.. (2022). IL11 Activates Pancreatic Stellate Cells and Causes Pancreatic Inflammation, Fibrosis and Atrophy in a Mouse Model of Pancreatitis. International Journal of Molecular Sciences. 23(7). 3549–3549. 19 indexed citations
3.
Quaife, Nicholas M., Sonia Chothani, Jana Felicitas Schulz, et al.. (2022). LINC01013 Is a Determinant of Fibroblast Activation and Encodes a Novel Fibroblast-Activating Micropeptide. Journal of Cardiovascular Translational Research. 16(1). 77–85. 10 indexed citations
4.
Dong, Jinrui, Sivakumar Viswanathan, Eleonora Adami, et al.. (2021). The pro-regenerative effects of hyperIL6 in drug-induced liver injury are unexpectedly due to competitive inhibition of IL11 signaling. eLife. 10. 10 indexed citations
5.
Dong, Jinrui, Sivakumar Viswanathan, Eleonora Adami, et al.. (2021). Hepatocyte-specific IL11 cis-signaling drives lipotoxicity and underlies the transition from NAFLD to NASH. Nature Communications. 12(1). 66–66. 89 indexed citations
6.
Adami, Eleonora, Sivakumar Viswanathan, Anissa A. Widjaja, et al.. (2021). IL11 is elevated in systemic sclerosis and IL11-dependent ERK signalling underlies TGFβ-mediated activation of dermal fibroblasts. Lara D. Veeken. 60(12). 5820–5826. 42 indexed citations
7.
Witte, Franziska, Jorge Ruiz‐Orera, Camilla Ciolli Mattioli, et al.. (2021). A trans locus causes a ribosomopathy in hypertrophic hearts that affects mRNA translation in a protein length-dependent fashion. Genome biology. 22(1). 191–191. 7 indexed citations
8.
Widjaja, Anissa A., Sivakumar Viswanathan, Jinrui Dong, et al.. (2021). Molecular Dissection of Pro-Fibrotic IL11 Signaling in Cardiac and Pulmonary Fibroblasts. Frontiers in Molecular Biosciences. 8. 740650–740650. 33 indexed citations
9.
Corden, Ben, Wei‐Wen Lim, Weihua Song, et al.. (2020). Therapeutic Targeting of Interleukin-11 Signalling Reduces Pressure Overload–Induced Cardiac Fibrosis in Mice. Journal of Cardiovascular Translational Research. 14(2). 222–228. 15 indexed citations
10.
Ng, Benjamin, Jinrui Dong, Sivakumar Viswanathan, et al.. (2020). Fibroblast‐specific IL11 signaling drives chronic inflammation in murine fibrotic lung disease. The FASEB Journal. 34(9). 11802–11815. 46 indexed citations
11.
Adami, Eleonora, et al.. (2020). IL‐11 in cardiac and renal fibrosis: Late to the party but a central player. British Journal of Pharmacology. 177(8). 1695–1708. 62 indexed citations
12.
Chothani, Sonia, Eleonora Adami, John F. Ouyang, et al.. (2019). deltaTE: Detection of Translationally Regulated Genes by Integrative Analysis of Ribo‐seq and RNA‐seq Data. Current Protocols in Molecular Biology. 129(1). e108–e108. 77 indexed citations
13.
McDermott‐Roe, Chris, Marion Leleu, Glenn C. Rowe, et al.. (2017). Transcriptome-wide co-expression analysis identifies LRRC2 as a novel mediator of mitochondrial and cardiac function. PLoS ONE. 12(2). e0170458–e0170458. 9 indexed citations
14.
Maatz, Henrike, Sebastiaan van Heesch, Franziska Kreuchwig, et al.. (2016). Epigenetics and Control of RNAs. Methods in molecular biology. 1488. 217–237. 2 indexed citations
15.
Hermsen, Roel, Joep de Ligt, Francis Blokzijl, et al.. (2015). Genomic landscape of rat strain and substrain variation. BMC Genomics. 16(1). 357–357. 66 indexed citations
16.
Schäfer, Sebastian, Eleonora Adami, Matthias Heinig, et al.. (2015). Translational regulation shapes the molecular landscape of complex disease phenotypes. Nature Communications. 6(1). 7200–7200. 51 indexed citations
17.
Maatz, Henrike, Marvin Jens, Martin Liss, et al.. (2014). RNA-binding protein RBM20 represses splicing to orchestrate cardiac pre-mRNA processing. Journal of Clinical Investigation. 124(8). 3419–3430. 160 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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