Gianluca Accogli

47 total papers · 440 total citations
33 papers, 351 citations indexed

About

Gianluca Accogli is a scholar working on Molecular Biology, Reproductive Medicine and Genetics. According to data from OpenAlex, Gianluca Accogli has authored 33 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Reproductive Medicine and 7 papers in Genetics. Recurrent topics in Gianluca Accogli's work include Glycosylation and Glycoproteins Research (10 papers), Sperm and Testicular Function (8 papers) and Reproductive Biology and Fertility (6 papers). Gianluca Accogli is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), Sperm and Testicular Function (8 papers) and Reproductive Biology and Fertility (6 papers). Gianluca Accogli collaborates with scholars based in Italy, Spain and Denmark. Gianluca Accogli's co-authors include Salvatore Desantis, Jesper Hansen, Maria Mastrodonato, Barbara Ambruosi, Giovanni Michele Lacalandra, Bruno Cozzi, Roberta Rossi, Michele Caira, Alberto Maria Crovace and Andrea Pirone and has published in prestigious journals such as PLoS ONE, Fertility and Sterility and Reproduction.

In The Last Decade

Gianluca Accogli

33 papers receiving 341 citations

Author Peers

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

Author Last Decade Papers Cites
Gianluca Accogli 107 93 86 50 49 33 351
DE Hollis 67 0.6× 62 0.7× 35 0.4× 43 0.9× 22 0.4× 32 382
Mike Steele 47 0.4× 66 0.7× 81 0.9× 86 1.7× 34 0.7× 21 315
G. L. Heusner 52 0.5× 93 1.0× 126 1.5× 91 1.8× 62 1.3× 19 363
RC Jones 87 0.8× 113 1.2× 180 2.1× 34 0.7× 18 0.4× 22 361
Daniel Marcelo Lombardo 110 1.0× 157 1.7× 148 1.7× 37 0.7× 21 0.4× 53 389
Zygmunt Giżejewski 45 0.4× 63 0.7× 79 0.9× 102 2.0× 17 0.3× 43 383
George M. Butterstein 70 0.7× 26 0.3× 66 0.8× 26 0.5× 76 1.6× 26 393
Javier Masot 48 0.4× 83 0.9× 83 1.0× 58 1.2× 7 0.1× 25 312
Koji Toyokawa 67 0.6× 89 1.0× 54 0.6× 150 3.0× 16 0.3× 26 360
M. H. Pineda 37 0.3× 79 0.8× 204 2.4× 70 1.4× 17 0.3× 31 378

Countries citing papers authored by Gianluca Accogli

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Accogli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Accogli

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

All Works

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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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