Roberto Sacco

1.5k total citations · 1 hit paper
8 papers, 777 citations indexed

About

Roberto Sacco is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Roberto Sacco has authored 8 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Immunology. Recurrent topics in Roberto Sacco's work include Advanced Proteomics Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (3 papers) and interferon and immune responses (2 papers). Roberto Sacco is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (3 papers) and interferon and immune responses (2 papers). Roberto Sacco collaborates with scholars based in Austria, Switzerland and United States. Roberto Sacco's co-authors include Keiryn L. Bennett, Giulio Superti‐Furga, Alexey Stukalov, Jacques Colinge, Peter Májek, Johannes W. Bigenzahn, Vincent A. Blomen, Ferdy R. van Diemen, Thijn R. Brummelkamp and Jan E. Carette and has published in prestigious journals such as Science, Nature Methods and Nature Protocols.

In The Last Decade

Roberto Sacco

7 papers receiving 771 citations

Hit Papers

Gene essentiality and syn... 2015 2026 2018 2022 2015 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
Roberto Sacco Austria 6 650 134 111 78 74 8 777
Diane Forget Canada 18 1.1k 1.7× 83 0.6× 110 1.0× 71 0.9× 61 0.8× 28 1.2k
Jonathan St‐Germain Canada 18 609 0.9× 146 1.1× 58 0.5× 56 0.7× 89 1.2× 33 841
Diego Calzolari United States 10 476 0.7× 113 0.8× 65 0.6× 35 0.4× 60 0.8× 12 755
Christian Poitras Canada 13 989 1.5× 71 0.5× 97 0.9× 55 0.7× 39 0.5× 19 1.1k
Jiongwen Ou Canada 11 1.2k 1.8× 207 1.5× 131 1.2× 139 1.8× 105 1.4× 14 1.3k
Ramsey A. Saleem United States 22 1.1k 1.7× 146 1.1× 159 1.4× 55 0.7× 64 0.9× 32 1.2k
Estelle Laurent Canada 17 585 0.9× 285 2.1× 124 1.1× 69 0.9× 71 1.0× 32 854
Simon Hauri Switzerland 15 664 1.0× 186 1.4× 73 0.7× 46 0.6× 128 1.7× 24 964
Yoshiko Nakada-Nakura Japan 9 653 1.0× 89 0.7× 110 1.0× 26 0.3× 53 0.7× 12 800
Celia Jerónimo Canada 19 1.6k 2.4× 94 0.7× 69 0.6× 65 0.8× 103 1.4× 32 1.7k

Countries citing papers authored by Roberto Sacco

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Sacco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Sacco

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

All Works

8 of 8 papers shown
1.
Sacco, Roberto, et al.. (2020). Geração de carvão por copirólise: efeitos da temperatura, fluxo de N2 e percentual de lodo. Revista Ibero-Americana de Ciências Ambientais. 11(3). 122–136.
2.
Khamina, Kseniya, Alexander Lercher, Michael Caldera, et al.. (2017). Characterization of host proteins interacting with the lymphocytic choriomeningitis virus L protein. PLoS Pathogens. 13(12). e1006758–e1006758. 15 indexed citations
3.
Willmann, Katharina, Roberto Sacco, Rui Martins, et al.. (2016). Expanding the Interactome of the Noncanonical NF-κB Signaling Pathway. Journal of Proteome Research. 15(9). 2900–2909. 8 indexed citations
4.
Blomen, Vincent A., Peter Májek, Lucas T. Jae, et al.. (2015). Gene essentiality and synthetic lethality in haploid human cells. Science. 350(6264). 1092–1096. 559 indexed citations breakdown →
5.
Sacco, Roberto, Katja Parapatics, Anna Skucha, et al.. (2014). abFASP-MS: Affinity-Based Filter-Aided Sample Preparation Mass Spectrometry for Quantitative Analysis of Chemically Labeled Protein Complexes. Journal of Proteome Research. 13(2). 1147–1155. 13 indexed citations
6.
Varjosalo, Markku, Roberto Sacco, Alexey Stukalov, et al.. (2013). Interlaboratory reproducibility of large-scale human protein-complex analysis by standardized AP-MS. Nature Methods. 10(4). 307–314. 156 indexed citations
7.
Rudashevskaya, Elena L., Roberto Sacco, Klaus Kratochwill, et al.. (2012). A method to resolve the composition of heterogeneous affinity-purified protein complexes assembled around a common protein by chemical cross-linking, gel electrophoresis and mass spectrometry. Nature Protocols. 8(1). 75–97. 22 indexed citations
8.
Bennett, Keiryn L., Eric B. Haura, Roberto Sacco, et al.. (2012). Identifying Core Protein Complexes from Downscaled Tandem Affinity Purifications. PubMed. 2(1). 55–68. 4 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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