Paola Paci

5.9k citations
106 papers · 4.0k indexed · 1 hit paper · h-index 33
Topics
Bioinformatics and Genomic Networks (30 papers)Computational Drug Discovery Methods (20 papers)MicroRNA in disease regulation (15 papers)
Journals
Chemical ReviewsPhysical Review LettersSHILAP Revista de lepidopterología
Partner nations
ItalyRussiaUnited States

In The Last Decade

Paola Paci

100 papers receiving 4.0k citations

Hit Papers

Gut microbiota profiling of pediatric nonalcoholic fatty ...20162026201920222016100200300400500

Peers

Paola Paci
Comparison fields: 5 of 149
  • Molecular Biology 2.8k
  • Cancer Research 1.1k
  • Epidemiology 479
  • Physiology 418
  • Computational Theory and Mathematics 413
Replace Zhi‐Xiong Jim Xiao with:
Zhi‐Xiong Jim Xiao China
Shengqi Wang China
John T. Lonsdale United States
Tamás Korcsmáros United Kingdom
Dae‐Kyum Kim South Korea
Sune Pletscher-Frankild Denmark
Volker M. Lauschke Sweden
Emily Crawford United States
Takuji Yamada Japan
Stephen Kwok‐Wing Tsui Hong Kong
Paola Paci relative to Zhi‐Xiong Jim Xiao China Zhi‐Xiong Jim Xiao's profile →
Citations per field
00.5×1.5×2.5×
Zhi‐Xiong Jim Xiao · 1×
Citations per year

Countries citing papers authored by Paola Paci

Since Specialization
Citations

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

Fields of papers citing papers by Paola Paci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Paci

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 6
5 3
6 3
7 15
8 4
9 7
10 28
11 13
12 32
13 0
14 50
15 6
16 6
17 24
18 200
19 0
20 44

About Paola Paci

Paola Paci is a scholar working on Cancer Research, Computational Theory and Mathematics and Molecular Biology, having authored 106 papers that have together received 4.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (30 papers), Computational Drug Discovery Methods (20 papers) and MicroRNA in disease regulation (15 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (2.8k citations) and Computational Theory and Mathematics (413 citations). Paola Paci has collaborated with scholars based in Italy, Russia and United States. Frequent co-authors include Giulia Fiscon, Lorenzo Farina, Federica Conte, Teresa Colombo, Valerio Licursi, Daniele Santoni, Alessandro Giuliani, Luisa Di Paola, Giuseppe Macino and Lorenza Putignani. Their work appears in journals such as Chemical Reviews, Physical Review Letters and SHILAP Revista de lepidopterología.

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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