Barbara Brannetti

1.8k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Barbara Brannetti is a scholar working on Molecular Biology, Materials Chemistry and Immunology. According to data from OpenAlex, Barbara Brannetti has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Immunology. Recurrent topics in Barbara Brannetti's work include Protein Structure and Dynamics (7 papers), RNA and protein synthesis mechanisms (4 papers) and Enzyme Structure and Function (4 papers). Barbara Brannetti is often cited by papers focused on Protein Structure and Dynamics (7 papers), RNA and protein synthesis mechanisms (4 papers) and Enzyme Structure and Function (4 papers). Barbara Brannetti collaborates with scholars based in Italy, Switzerland and Germany. Barbara Brannetti's co-authors include Gianni Cesareni, Manuela Helmer‐Citterich, Charles Boone, Adriana Zucconi, Stanley Fields, Marie Evangelista, Christopher W.V. Hogue, Serena Paoluzi, Silvia Ferracuti and Luisa Castagnoli and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Barbara Brannetti

15 papers receiving 1.2k citations

Hit Papers

A Combined Experimental and Computational Strategy to Def... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara Brannetti Italy 11 899 189 142 116 111 15 1.2k
Joseph E. Coyle United States 12 787 0.9× 72 0.4× 74 0.5× 61 0.5× 87 0.8× 13 1.1k
Assaf Alon United States 13 838 0.9× 61 0.3× 164 1.2× 38 0.3× 147 1.3× 17 1.1k
Aaron P. Yamniuk United States 18 647 0.7× 282 1.5× 99 0.7× 140 1.2× 85 0.8× 40 1.1k
Jonathan A. Lee United States 15 754 0.8× 67 0.4× 94 0.7× 130 1.1× 106 1.0× 24 1.3k
Joan Teyra Canada 18 788 0.9× 39 0.2× 147 1.0× 91 0.8× 145 1.3× 33 927
Jane L. Wagstaff United Kingdom 14 956 1.1× 129 0.7× 120 0.8× 220 1.9× 52 0.5× 23 1.2k
Simona Panni Italy 17 1.1k 1.3× 88 0.5× 117 0.8× 100 0.9× 44 0.4× 36 1.4k
Christina Schindler Germany 15 676 0.8× 43 0.2× 146 1.0× 47 0.4× 149 1.3× 25 822
Peter Májek Austria 16 952 1.1× 148 0.8× 111 0.8× 104 0.9× 117 1.1× 24 1.3k
Riu Yamashita Japan 20 1.0k 1.1× 84 0.4× 43 0.3× 102 0.9× 144 1.3× 49 1.4k

Countries citing papers authored by Barbara Brannetti

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Brannetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Brannetti

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

All Works

15 of 15 papers shown
1.
Murer, Patrizia, Barbara Brannetti, Jean‐Michel Rondeau, et al.. (2024). Discovery and development of ANV419, an IL-2/anti-IL-2 antibody fusion protein with potent CD8+ T and natural killer cell-stimulating capacity for cancer immunotherapy. mAbs. 16(1). 2381891–2381891. 8 indexed citations
2.
Arenas-Ramirez, Natalia, Chao Zou, Simone L. Popp, et al.. (2016). Improved cancer immunotherapy by a CD25-mimobody conferring selectivity to human interleukin-2. Science Translational Medicine. 8(367). 367ra166–367ra166. 102 indexed citations
3.
Ritter, Anett, Barbara Brannetti, Bernd Voedisch, et al.. (2016). Disruption of the gene C12orf35 leads to increased productivities in recombinant CHO cell lines. Biotechnology and Bioengineering. 113(11). 2433–2442. 18 indexed citations
4.
Proietti, Michele, Tanja Rezzonico Jost, Andrea Romagnani, et al.. (2014). ATP-Gated Ionotropic P2X7 Receptor Controls Follicular T Helper Cell Numbers in Peyer’s Patches to Promote Host-Microbiota Mutualism. Immunity. 41(5). 789–801. 143 indexed citations
5.
Mosca, Roberto, Barbara Brannetti, & T. Schneider. (2008). Alignment of protein structures in the presence of domain motions. BMC Bioinformatics. 9(1). 352–352. 41 indexed citations
6.
Ferrè, Fabrizio, Allegra Via, Gabriele Ausiello, et al.. (2003). Development of computational tools for the inference of protein interaction specificity rules and functional annotation using structural information. Comparative and Functional Genomics. 4(4). 416–419. 1 indexed citations
7.
Brannetti, Barbara. (2003). iSPOT: a web tool to infer the interaction specificity of families of protein modules. Nucleic Acids Research. 31(13). 3709–3711. 27 indexed citations
8.
Politou, Anastasia S., Roberta Spadaccini, Catherine Joseph, et al.. (2002). The SH3 domain of nebulin binds selectively to type II peptides: theoretical prediction and experimental validation. Journal of Molecular Biology. 316(2). 305–315. 21 indexed citations
9.
Tong, Amy H.Y., Becky Drees, Gary D. Bader, et al.. (2002). A Combined Experimental and Computational Strategy to Define Protein Interaction Networks for Peptide Recognition Modules. Science. 295(5553). 321–324. 553 indexed citations breakdown →
10.
Vaccaro, Paola, Barbara Brannetti, Luisa Montecchi‐Palazzi, et al.. (2001). Distinct Binding Specificity of the Multiple PDZ Domains of INADL, a Human Protein with Homology to INAD from Drosophila melanogaster. Journal of Biological Chemistry. 276(45). 42122–42130. 58 indexed citations
11.
Brannetti, Barbara, Andreas Zanzoni, Luisa Montecchi‐Palazzi, Gianni Cesareni, & Manuela Helmer‐Citterich. (2001). iSPOT: a web tool for the analysis and recognition of protein domain specificity. Comparative and Functional Genomics. 2(5). 314–318. 8 indexed citations
12.
Brannetti, Barbara, Andreas Zanzoni, Luisa Montecchi‐Palazzi, Gianni Cesareni, & Manuela Helmer‐Citterich. (2001). iSPOT: a web tool for the analysis and recognition of protein domain specificity A presentation for the ESF workshop 'Proteomics: Focus on Protein Interactions'. 1 indexed citations
13.
Via, Allegra, Fabrizio Ferrè, Barbara Brannetti, Alfonso Valencia, & Manuela Helmer‐Citterich. (2000). Three-dimensional view of the surface motif associated with the P-loop structure: cis and trans cases of convergent evolution 1 1Edited by J. Thornton. Journal of Molecular Biology. 303(4). 455–465. 71 indexed citations
14.
Via, A., Fabrizio Ferrè, Barbara Brannetti, & Manuela Helmer‐Citterich. (2000). Protein surface similarities: a survey of methods to describe and compare protein surfaces. Cellular and Molecular Life Sciences. 57(13). 1970–1977. 50 indexed citations
15.
Brannetti, Barbara, Allegra Via, Gianluca Cestra, Gianni Cesareni, & Manuela Helmer‐Citterich. (2000). SH3-SPOT: an algorithm to predict preferred ligands to different members of the SH3 gene family. Journal of Molecular Biology. 298(2). 313–328. 75 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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