Pasquale De Luca

3.3k citations
67 papers · 2.7k indexed · h-index 27
Topics
Genomics and Chromatin Dynamics (6 papers)RNA Research and Splicing (6 papers)Microbial Community Ecology and Physiology (5 papers)

In The Last Decade

Pasquale De Luca

63 papers receiving 2.6k citations

Peers

Pasquale De Luca
Comparison fields: 5 of 117
  • Molecular Biology 1.8k
  • Cancer Research 434
  • Genetics 359
  • Oncology 347
  • Immunology 297
Replace Runsheng Li with:
Runsheng Li China
Isabelle Plante Canada
Wanling Yang China
Jing Huang United States
Tim Thomas Australia
James C. Ryan United States
Antonio Rodrı́guez Spain
Georg J. Arnold Germany
James O. Price United States
Kenji Miyado Japan
Pasquale De Luca relative to Runsheng Li China Runsheng Li's profile →
Citations per field
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Runsheng Li · 1×
Citations per year

Countries citing papers authored by Pasquale De Luca

Since Specialization
Citations

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

Fields of papers citing papers by Pasquale De Luca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pasquale De Luca. 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 Pasquale De Luca. The network helps show where Pasquale De Luca may publish in the future.

Co-authorship network of co-authors of Pasquale De Luca

This figure shows the co-authorship network connecting the top 25 collaborators of Pasquale De Luca. A scholar is included among the top collaborators of Pasquale De Luca 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 Pasquale De Luca. Pasquale De Luca 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 3
4 0
5 1
6 1
7 11
8 22
9 26
10 18
11 29
12 47
13
The Mind-Body Healing Experience (MHE) Is associated with Gene Expression in Human Leukocytes
7
14 81
15 40
16 117
17 30
18 27
19 7
20 11

About Pasquale De Luca

Pasquale De Luca is a scholar working on Molecular Biology, Ecology and Cancer Research, having authored 67 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (6 papers) and Microbial Community Ecology and Physiology (5 papers). The work is most often cited by research in Cancer Research (434 citations), Molecular Biology (1.8k citations) and Hematology (212 citations). Pasquale De Luca has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Luigi Lania, Barbara Majello, Guntram Suske, Gustav Hagen, Roberto Di Lauro, Chiara Lauritano, Pasquale Gallo, Alfredo Pagliuca, Pier Giuseppe Pelicci and Mitchell A. Lazar. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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