Roberta Pascolutti

1.4k total citations · 1 hit paper
8 papers, 851 citations indexed

About

Roberta Pascolutti is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Roberta Pascolutti has authored 8 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Roberta Pascolutti's work include Receptor Mechanisms and Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Roberta Pascolutti is often cited by papers focused on Receptor Mechanisms and Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Roberta Pascolutti collaborates with scholars based in United States, Italy and Switzerland. Roberta Pascolutti's co-authors include Andrew C. Kruse, Aaron M. Ring, Sanduo Zheng, Sarah C. Erlandson, Søren G. F. Rasmussen, Daniel Hilger, Marcin Wegrecki, Alexander S. Baier, Aashish Manglik and Conor McMahon and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Roberta Pascolutti

8 papers receiving 843 citations

Hit Papers

Yeast surface display platform for rapid discovery of con... 2018 2026 2020 2023 2018 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
Roberta Pascolutti United States 7 559 287 242 122 98 8 851
Gerald Beste Germany 9 790 1.4× 237 0.8× 132 0.5× 83 0.7× 137 1.4× 9 989
Peter C. Fridy United States 11 814 1.5× 206 0.7× 380 1.6× 72 0.6× 87 0.9× 18 1.1k
Uyen Nguyen United States 17 1.2k 2.1× 164 0.6× 164 0.7× 115 0.9× 49 0.5× 29 1.4k
Hiroaki Sasakawa Japan 16 734 1.3× 348 1.2× 111 0.5× 62 0.5× 169 1.7× 23 983
Claus Kristensen Denmark 17 1.1k 2.0× 204 0.7× 79 0.3× 120 1.0× 129 1.3× 26 1.6k
Jun Seop Jeong United States 11 734 1.3× 144 0.5× 110 0.5× 123 1.0× 131 1.3× 17 977
Alice Yam United States 12 990 1.8× 271 0.9× 165 0.7× 203 1.7× 98 1.0× 20 1.2k
Charlotta Olsson Sweden 6 1.0k 1.8× 109 0.4× 141 0.6× 79 0.6× 64 0.7× 6 1.3k
Zhe Zhou China 12 761 1.4× 132 0.5× 146 0.6× 125 1.0× 53 0.5× 19 1.0k
Jeffrey D. Hulmes United States 15 662 1.2× 221 0.8× 229 0.9× 123 1.0× 276 2.8× 24 1.0k

Countries citing papers authored by Roberta Pascolutti

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Pascolutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberta Pascolutti

This figure shows the co-authorship network connecting the top 25 collaborators of Roberta Pascolutti. A scholar is included among the top collaborators of Roberta Pascolutti 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 Roberta Pascolutti. Roberta Pascolutti 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.
2.
Pascolutti, Roberta, Sarah C. Erlandson, Dominique J. Burri, Sanduo Zheng, & Andrew C. Kruse. (2020). Mapping and engineering the interaction between adiponectin and T-cadherin. Journal of Biological Chemistry. 295(9). 2749–2759. 21 indexed citations
3.
McMahon, Conor, Alexander S. Baier, Roberta Pascolutti, et al.. (2018). Yeast surface display platform for rapid discovery of conformationally selective nanobodies. Nature Structural & Molecular Biology. 25(3). 289–296. 348 indexed citations breakdown →
4.
Kalocsay, Marian, Dean P. Staus, Laura M. Wingler, et al.. (2017). Multidimensional Tracking of GPCR Signaling via Peroxidase-Catalyzed Proximity Labeling. Cell. 169(2). 338–349.e11. 188 indexed citations
5.
Pascolutti, Roberta, Xianqiang Sun, Joseph P. Y. Kao, et al.. (2016). Structure and Dynamics of PD-L1 and an Ultra-High-Affinity PD-1 Receptor Mutant. Structure. 24(10). 1719–1728. 77 indexed citations
6.
Merlini, Laura, M. Angeles Juanes, Franck Vandermoere, et al.. (2015). Rho1- and Pkc1-dependent phosphorylation of the F-BAR protein Syp1 contributes to septin ring assembly. Molecular Biology of the Cell. 26(18). 3245–3262. 22 indexed citations
7.
Luca, Maria De, Laura Cogli, Cinzia Progida, et al.. (2014). The Rab-interacting lysosomal protein (RILP) regulates vacuolar ATPase acting on the V1G1 subunit. Journal of Cell Science. 127(14). 2565–2565. 56 indexed citations
8.
Sigismund, Sara, Alexia Conte, Roberta Pascolutti, et al.. (2013). Threshold-controlled ubiquitination of the EGFR directs receptor fate. The EMBO Journal. 32(15). 2140–2157. 135 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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