Fabio Fazio

1.9k citations
11 papers · 1.6k indexed · 1 hit paper · h-index 8

Fabio Fazio

11 papers receiving 1.6k citations

Hit Papers

Printed covalent glycan array for ligand profiling of div...9052004202620112018250500750

Peers

Fabio Fazio
Comparison fields: 5 of 75
  • Organic Chemistry 868
  • Molecular Biology 1.3k
  • Radiology, Nuclear Medicine and Imaging 387
  • Immunology 290
  • Cell Biology 194
Replace Chiara Falciani with:
Chiara Falciani Italy
Chien‐Tai Ren Taiwan
Therese Buskas United States
Daniel Varón Silva Germany
S. Raguram United States
Tarun K. Dam United States
John M. Antos United States
Niels‐Christian Reichardt Spain
Kiichiro Totani Japan
Roger Mayer France
Fabio Fazio relative to Chiara Falciani Italy Chiara Falciani's profile →
Citations per field
00.5×1.5×2.3×
Chiara Falciani · 1×
Citations per year

Countries citing papers authored by Fabio Fazio

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Fazio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Fabio Fazio, 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 Fabio Fazio Line = papers co-authored together Fabio Fazio links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Printed covalent glycan array for ligand profiling of diverse glycan binding proteinsbreakdown →
2004905
2 200418
3 2004148
4 200345
5 20024
6 2002418
7 20018
8
Building Blocks for 2-Deoxy-L-Nucleosides
20011
9 20012
10 200026
11 199944

About Fabio Fazio

Fabio Fazio is a scholar working on Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Industrial and Manufacturing Engineering, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Click Chemistry and Applications (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Chemical Synthesis and Analysis (2 papers), Chemical Synthesis and Characterization (1 paper), Synthesis and biological activity (1 paper) and Synthetic Organic Chemistry Methods (1 paper). The work is most often cited by research in Organic Chemistry (868 citations), Molecular Biology (1.3k citations) and Radiology, Nuclear Medicine and Imaging (387 citations). Fabio Fazio has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Marian C. Bryan, James C. Paulson, Ola Blixt, Chi‐Huey Wong, Chi‐Huey Wong, Dennis R. Burton, D.A. Calarese, Ian A. Wilson, Tony S. Mondala and Richard D. Cummings. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Organic Chemistry.

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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