Marco Berrera

1.6k total citations
27 papers, 1.1k citations indexed

About

Marco Berrera is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Marco Berrera has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Immunology. Recurrent topics in Marco Berrera's work include Receptor Mechanisms and Signaling (6 papers), Phosphodiesterase function and regulation (5 papers) and RNA Interference and Gene Delivery (4 papers). Marco Berrera is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Phosphodiesterase function and regulation (5 papers) and RNA Interference and Gene Delivery (4 papers). Marco Berrera collaborates with scholars based in Switzerland, Germany and United Kingdom. Marco Berrera's co-authors include Martin Ebeling, Manuela Zaccolo, Henriette Molinari, Federico Fogolari, Nicoletta C. Surdo, Sergio Pantano, Paolo Carloni, Thomas P. Singer, Matías Machado and Marcella Brescia and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Marco Berrera

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Berrera Switzerland 18 867 123 117 100 71 27 1.1k
T. J. Lukas United States 18 1.1k 1.2× 127 1.0× 92 0.8× 95 0.9× 72 1.0× 26 1.3k
Tamara Tsalkova United States 22 1.1k 1.3× 107 0.9× 129 1.1× 150 1.5× 104 1.5× 28 1.5k
Gyles E. Cozier United Kingdom 18 819 0.9× 82 0.7× 58 0.5× 43 0.4× 79 1.1× 40 1.1k
Michael Degtyarev United States 10 869 1.0× 83 0.7× 62 0.5× 222 2.2× 55 0.8× 13 1.1k
Daniel Neumann Germany 14 767 0.9× 97 0.8× 68 0.6× 91 0.9× 99 1.4× 31 1.1k
Rosana I. Reis Brazil 18 749 0.9× 199 1.6× 92 0.8× 270 2.7× 165 2.3× 31 1.2k
Qixu Cai China 16 1.0k 1.2× 71 0.6× 55 0.5× 180 1.8× 76 1.1× 32 1.3k
Philippe Kischel France 17 576 0.7× 67 0.5× 133 1.1× 66 0.7× 71 1.0× 29 936
Laxmikanth Kollipara Germany 15 674 0.8× 35 0.3× 107 0.9× 57 0.6× 65 0.9× 40 982
Eileen J. Kennedy United States 19 894 1.0× 29 0.2× 123 1.1× 110 1.1× 102 1.4× 55 1.2k

Countries citing papers authored by Marco Berrera

Since Specialization
Citations

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

Fields of papers citing papers by Marco Berrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Berrera

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Berrera. A scholar is included among the top collaborators of Marco Berrera 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 Marco Berrera. Marco Berrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Korfi, Koorosh, Bruno C. Medeiros, Marco Berrera, et al.. (2023). CD25 targeting with the afucosylated human IgG1 antibody RG6292 eliminates regulatory T cells and CD25+ blasts in acute myeloid leukemia. Frontiers in Oncology. 13. 1150149–1150149. 6 indexed citations
2.
Hage, Carina, Sabine Hoves, Natascha Rieder, et al.. (2019). Characterizing responsive and refractory orthotopic mouse models of hepatocellular carcinoma in cancer immunotherapy. PLoS ONE. 14(7). e0219517–e0219517. 17 indexed citations
3.
Ottis, Philipp, Chiara Palladino, Phillip Thienger, et al.. (2019). Cellular Resistance Mechanisms to Targeted Protein Degradation Converge Toward Impairment of the Engaged Ubiquitin Transfer Pathway. ACS Chemical Biology. 14(10). 2215–2223. 107 indexed citations
4.
Dieckmann, Andreas, Peter Hagedorn, Marco Berrera, et al.. (2017). A Sensitive In Vitro Approach to Assess the Hybridization-Dependent Toxic Potential of High Affinity Gapmer Oligonucleotides. Molecular Therapy — Nucleic Acids. 10. 45–54. 51 indexed citations
5.
Surdo, Nicoletta C., Marco Berrera, Andreas Koschinski, et al.. (2017). FRET biosensor uncovers cAMP nano-domains at β-adrenergic targets that dictate precise tuning of cardiac contractility. Nature Communications. 8(1). 15031–15031. 158 indexed citations
6.
Festag, Matthias, Kamille Dumong Erichsen, R. B. R. Persson, et al.. (2017). The Minipig is a Suitable Non-Rodent Model in the Safety Assessment of Single Stranded Oligonucleotides. Toxicological Sciences. 157(1). kfx025–kfx025. 8 indexed citations
7.
Wetzl, Dennis, Marco Berrera, Nicolas Sandon, et al.. (2015). Expanding the Imine Reductase Toolbox by Exploring the Bacterial Protein‐Sequence Space. ChemBioChem. 16(12). 1749–1756. 91 indexed citations
8.
Ducret, Axel, Daniel Röder, Daniel J. Chin, et al.. (2015). Identification of six cell surface proteins for specific liver targeting. PROTEOMICS - CLINICAL APPLICATIONS. 9(7-8). 651–661. 12 indexed citations
9.
Yuk, Inn H., Jitao David Zhang, Martin Ebeling, et al.. (2014). Effects of copper on CHO cells: Insights from gene expression analyses. Biotechnology Progress. 30(2). 429–442. 48 indexed citations
10.
Schmucki, Roland, Marco Berrera, Erich Küng, et al.. (2013). High throughput transcriptome analysis of lipid metabolism in Syrian hamster liver in absence of an annotated genome. BMC Genomics. 14(1). 237–237. 7 indexed citations
11.
Tzouros, Manuel, Sabrina Golling, David Ávila, et al.. (2013). Development of a 5-plex SILAC Method Tuned for the Quantitation of Tyrosine Phosphorylation Dynamics. Molecular & Cellular Proteomics. 12(11). 3339–3349. 24 indexed citations
12.
13.
Prunotto, Marco, Gian Marco Ghiggeri, Maurizio Bruschi, et al.. (2011). Renal fibrosis and proteomics: Current knowledge and still key open questions for proteomic investigation. Journal of Proteomics. 74(10). 1855–1870. 26 indexed citations
14.
Ebeling, Martin, Erich Küng, Clemens Broger, et al.. (2011). Genome-based analysis of the nonhuman primate Macaca fascicularis as a model for drug safety assessment. Genome Research. 21(10). 1746–1756. 92 indexed citations
15.
Diskar, Mandy, Daniel Sohmen, Marco Berrera, et al.. (2010). Regulation of cAMP-dependent Protein Kinases. Journal of Biological Chemistry. 285(46). 35910–35918. 19 indexed citations
16.
Prinz, Anke, et al.. (2008). Biochemical characterization and cellular imaging of a novel, membrane permeable fluorescent cAMP analog. BMC Biochemistry. 9(1). 18–18. 16 indexed citations
17.
Berrera, Marco, Giuliano Dodoni, Stefania Monterisi, et al.. (2008). A Toolkit for Real-Time Detection of cAMP: Insights into Compartmentalized Signaling. Handbook of experimental pharmacology. 285–298. 28 indexed citations
18.
Berrera, Marco, Sergio Pantano, & Paolo Carloni. (2006). cAMP Modulation of the Cytoplasmic Domain in the HCN2 Channel Investigated by Molecular Simulations. Biophysical Journal. 90(10). 3428–3433. 17 indexed citations
19.
Berrera, Marco, Antonino Cattaneo, & Paolo Carloni. (2006). Molecular Simulation of the Binding of Nerve Growth Factor Peptide Mimics to the Receptor Tyrosine Kinase A. Biophysical Journal. 91(6). 2063–2071. 19 indexed citations
20.
Berrera, Marco, Henriette Molinari, & Federico Fogolari. (2003). Amino acid empirical contact energy definitions for fold recognition in the space of contact maps. BMC Bioinformatics. 4(1). 8–8. 70 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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