Roberta Pascolutti

1.4k citations
8 papers · 851 indexed · 1 hit paper · h-index 7

Roberta Pascolutti

8 papers receiving 843 citations

Hit Papers

Yeast surface display platform for rapid discovery of con...3482018202620202023100200300

Peers

Roberta Pascolutti
Comparison fields: 5 of 78
  • Cell Biology 242
  • Radiology, Nuclear Medicine and Imaging 287
  • Molecular Biology 559
  • Structural Biology 9
  • Physiology 22
Replace Peter C. Fridy with:
Peter C. Fridy United States
Kanika Bajaj Pahuja India
Marlene Oeffinger Canada
Thomas R. Hynes United States
María L. Galisteo United States
Zhe Zhou China
Ivan Correia United States
Gerald Beste Germany
Gareth J. Morgan United States
Yangqing Xu United States
Roberta Pascolutti relative to Peter C. Fridy United States Peter C. Fridy's profile →
Citations per field
00.5×1.5×
Peter C. Fridy · 1×
Citations per year

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

The 25 scholars most cited alongside Roberta Pascolutti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberta Pascolutti Line = papers co-authored together Roberta Pascolutti links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20224
2 202021
3
Yeast surface display platform for rapid discovery of conformationally selective nanobodiesbreakdown →
2018348
4 2017188
5 201677
6 201522
7 201456
8 2013135

About Roberta Pascolutti

Roberta Pascolutti is a scholar working on Physiology, Cell Biology and Molecular Biology, having authored 8 papers that have together received 851 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Blood properties and coagulation (1 paper), Fermentation and Sensory Analysis (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Biochemical and Structural Characterization (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Cell Biology (242 citations), Radiology, Nuclear Medicine and Imaging (287 citations) and Molecular Biology (559 citations). Roberta Pascolutti has collaborated with scholars based in United States, Italy and Switzerland. Frequent 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. Their work appears in journals such as Molecular Biology of the Cell, The EMBO Journal, Cancers, Nature Structural & Molecular Biology and Journal of Cell Science.

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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