Antonio Casini

45 papers receiving 1.1k citations

Antonio Casini's Hit Papers

A highly specific SpCas9 variant is identified by in vivo screening in yeast 2018 · 372 citations
3720+2+5Years since publication100200300

Peers

Antonio Casini
Comparison fields: 5 of 95
  • Business and International Management 83
  • Aging 51
  • Molecular Biology 837
  • Electrochemistry 68
  • Genetics 83
Replace Shaoyong Li with:
Shaoyong Li China
Hyojin Kim South Korea
Thomas Wirth Finland
Irene Lee United States
Nikolay A. Pchelintsev United Kingdom
Derek Jantz United States
Xucong Teng China
Xianjin Xiao China
Lawrence P. Fernando United States
Joseph Hardie United States
Antonio Casini relative to Shaoyong Li China Shaoyong Li's profile →
Citations per field
00.5×11.3×
Shaoyong Li · 1×
Citations per year

Countries citing papers authored by Antonio Casini

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Casini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A highly specific SpCas9 variant is identified by in vivo screening in yeast
Hit paper breakdown →
2018372
2 2020100
3 201895
4 201771
5 201970
6 198027
7 197627
8 198525
9 201325
10 199820
11 201219
12 199117
13 201616
14 202115
15 202215
16 201415
17 200214
18 198114
19 198314
20 198613

About Antonio Casini

Antonio Casini is a scholar working on Molecular Biology, Organic Chemistry, Electrical and Electronic Engineering, Electrochemistry and Cell Biology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Advanced biosensing and bioanalysis techniques (6 papers), Electrochemical Analysis and Applications (6 papers), Electrochemical sensors and biosensors (6 papers), RNA regulation and disease (5 papers), HIV Research and Treatment (4 papers), Hemoglobinopathies and Related Disorders (3 papers) and Analytical Chemistry and Sensors (3 papers). The work is most often cited by research in Business and International Management (83 citations), Aging (51 citations), Molecular Biology (837 citations), Electrochemistry (68 citations) and Genetics (83 citations). Antonio Casini has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Anna Cereseto, Gianluca Petris, Claudia Montagna, Giulia Maule, Francesca Demichelis, Alessandro Romanel, Francesca Lorenzin, Davide Prandi, Michele Olivieri and Giordano Reginato. Their work appears in journals such as Nature Communications, Tetrahedron Letters, Archives of Biochemistry and Biophysics, The Journal of Organic Chemistry and Journal of Virology.

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.

Explore authors with similar magnitude of impact