Daniela Maria Geraci

36 total papers · 510 total citations
16 papers, 353 citations indexed

About

Daniela Maria Geraci is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Daniela Maria Geraci has authored 16 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Epidemiology and 6 papers in Molecular Medicine. Recurrent topics in Daniela Maria Geraci's work include Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Neonatal and Maternal Infections (4 papers). Daniela Maria Geraci is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Neonatal and Maternal Infections (4 papers). Daniela Maria Geraci collaborates with scholars based in Italy, United States and Denmark. Daniela Maria Geraci's co-authors include Mario Giuffrè, Caterina Mammina, Celestino Bonura, Laura Saporito, Aurora Aléo, Giovanni Corsello, Giorgio Graziano, Domenico Cipolla, Davide Vecchio and Gennara Cavallaro and has published in prestigious journals such as PLoS ONE, ACS Applied Materials & Interfaces and Frontiers in Microbiology.

In The Last Decade

Daniela Maria Geraci

16 papers receiving 346 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela Maria Geraci 119 115 105 74 73 16 353
Fortino Solórzano 98 0.8× 175 1.5× 104 1.0× 102 1.4× 69 0.9× 22 394
Camille d’Humières 147 1.2× 72 0.6× 89 0.8× 101 1.4× 54 0.7× 24 326
Paola Jeric 145 1.2× 120 1.0× 102 1.0× 60 0.8× 90 1.2× 9 338
Deena Sutter 138 1.2× 100 0.9× 75 0.7× 91 1.2× 67 0.9× 14 331
Cássia Maria Zoccoli 116 1.0× 135 1.2× 60 0.6× 69 0.9× 55 0.8× 13 332
Patrick J. Stapleton 86 0.7× 115 1.0× 64 0.6× 137 1.9× 133 1.8× 26 399
M. Foustoukou 136 1.1× 106 0.9× 67 0.6× 137 1.9× 69 0.9× 18 340
J.-H. Chia 141 1.2× 131 1.1× 54 0.5× 106 1.4× 61 0.8× 14 345
KN Brahmadathan 170 1.4× 77 0.7× 37 0.4× 81 1.1× 63 0.9× 20 310
M. Tumbarello 125 1.1× 47 0.4× 82 0.8× 77 1.0× 36 0.5× 17 347

Countries citing papers authored by Daniela Maria Geraci

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Maria Geraci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Maria Geraci. 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 Daniela Maria Geraci. The network helps show where Daniela Maria Geraci may publish in the future.

Co-authorship network of co-authors of Daniela Maria Geraci

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Maria Geraci. A scholar is included among the top collaborators of Daniela Maria Geraci 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 Daniela Maria Geraci. Daniela Maria Geraci 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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