Pierpaolo Paba

44 total papers · 668 total citations
23 papers, 517 citations indexed

About

Pierpaolo Paba is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Pierpaolo Paba has authored 23 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 5 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Pierpaolo Paba's work include Cervical Cancer and HPV Research (11 papers), Polyomavirus and related diseases (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). Pierpaolo Paba is often cited by papers focused on Cervical Cancer and HPV Research (11 papers), Polyomavirus and related diseases (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). Pierpaolo Paba collaborates with scholars based in Italy, Finland and Armenia. Pierpaolo Paba's co-authors include Marco Ciotti, Luigi Di Bonito, Karí Syrjänen, Cartesio Favalli, A. Benedetto, Carlo Federico Perno, Donatella Santini, Colomba Giorgi, Alberto Agarossi and Mauro Alderisio and has published in prestigious journals such as Journal of Clinical Pathology, American Journal of Clinical Pathology and Biomolecules.

In The Last Decade

Pierpaolo Paba

23 papers receiving 507 citations

Author Peers

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

Author Last Decade Papers Cites
Pierpaolo Paba 308 156 125 83 82 23 517
R. S. Jayshree 225 0.7× 158 1.0× 107 0.9× 57 0.7× 43 0.5× 33 540
Yukako Fujinaga 241 0.8× 103 0.7× 170 1.4× 34 0.4× 99 1.2× 13 495
Polona J. Maver 476 1.5× 132 0.8× 85 0.7× 24 0.3× 186 2.3× 18 578
Soo Young Hur 284 0.9× 157 1.0× 133 1.1× 27 0.3× 107 1.3× 38 618
Shaira Sahebali 332 1.1× 95 0.6× 112 0.9× 32 0.4× 140 1.7× 16 477
Christine Mant 345 1.1× 86 0.6× 90 0.7× 77 0.9× 116 1.4× 27 578
Niladri Ganguly 219 0.7× 135 0.9× 243 1.9× 163 2.0× 60 0.7× 19 617
Angélica Teyssie 331 1.1× 155 1.0× 84 0.7× 61 0.7× 116 1.4× 32 499
Juliane Haedicke 301 1.0× 97 0.6× 186 1.5× 24 0.3× 110 1.3× 15 481
Cindy Morris 128 0.4× 166 1.1× 191 1.5× 86 1.0× 56 0.7× 21 616

Countries citing papers authored by Pierpaolo Paba

Since Specialization
Citations

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

Fields of papers citing papers by Pierpaolo Paba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierpaolo Paba

This figure shows the co-authorship network connecting the top 25 collaborators of Pierpaolo Paba. A scholar is included among the top collaborators of Pierpaolo Paba 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 Pierpaolo Paba. Pierpaolo Paba 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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