Giovanni Pasquini

19 total papers · 868 total citations
9 papers, 235 citations indexed

About

Giovanni Pasquini is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Molecular Medicine. According to data from OpenAlex, Giovanni Pasquini has authored 9 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Medicine. Recurrent topics in Giovanni Pasquini's work include CRISPR and Genetic Engineering (3 papers), Retinal Development and Disorders (3 papers) and Antibiotic Resistance in Bacteria (2 papers). Giovanni Pasquini is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Retinal Development and Disorders (3 papers) and Antibiotic Resistance in Bacteria (2 papers). Giovanni Pasquini collaborates with scholars based in Germany, United States and Italy. Giovanni Pasquini's co-authors include Volker Busskamp, Jesús Eduardo Rojo Arias, Patrick Schäfer, Sébastien Matamoros, Boas C.L. van der Putten, Daniel Remondini, Victoria A. Janes, Constance Schultsz, Benjamin E. Reese and Anka Swiersy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Protocols and International Journal of Molecular Sciences.

In The Last Decade

Giovanni Pasquini

9 papers receiving 231 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Giovanni Pasquini 178 47 36 33 26 9 235
Stephnie M. Kennedy 99 0.6× 35 0.7× 53 1.5× 48 1.5× 12 0.5× 13 319
Graham Heimberg 198 1.1× 21 0.4× 35 1.0× 23 0.7× 2 0.1× 5 233
Runze Dong 207 1.2× 13 0.3× 8 0.2× 21 0.6× 6 0.2× 10 261
Zaira Seferbekova 127 0.7× 60 1.3× 7 0.2× 49 1.5× 5 0.2× 5 241
Hunter Nisonoff 201 1.1× 28 0.6× 18 0.5× 23 0.7× 4 0.2× 9 247
Terri Clister 183 1.0× 17 0.4× 25 0.7× 36 1.1× 10 291
Kevin Menden 117 0.7× 40 0.9× 17 0.5× 25 0.8× 9 205
Alberto Díez-Sánchez 120 0.7× 21 0.4× 11 0.3× 41 1.2× 2 0.1× 9 287
Irina Chelysheva 280 1.6× 53 1.1× 6 0.2× 13 0.4× 4 0.2× 9 314
Tommaso Andreani 252 1.4× 57 1.2× 38 1.1× 34 1.0× 10 274

Countries citing papers authored by Giovanni Pasquini

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Pasquini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Pasquini

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

All Works

Loading papers...

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

Rankless by CCL
2026