Marco Lucarelli

3.0k total citations
96 papers, 1.9k citations indexed

About

Marco Lucarelli is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marco Lucarelli has authored 96 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 25 papers in Pulmonary and Respiratory Medicine and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marco Lucarelli's work include Cystic Fibrosis Research Advances (25 papers), Epigenetics and DNA Methylation (17 papers) and Neonatal Respiratory Health Research (13 papers). Marco Lucarelli is often cited by papers focused on Cystic Fibrosis Research Advances (25 papers), Epigenetics and DNA Methylation (17 papers) and Neonatal Respiratory Health Research (13 papers). Marco Lucarelli collaborates with scholars based in Italy, Spain and United States. Marco Lucarelli's co-authors include Andrea Fuso, Roberto Ström, Giampiero Ferraguti, Sigfrido Scarpa, Serena Quattrucci, Giuseppe Novelli, Bruno Dallapiccola, Massimo Gennarelli, Francesco Grandoni and Antonio Pizzuti and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Chemistry.

In The Last Decade

Marco Lucarelli

92 papers receiving 1.9k citations

Peers

Marco Lucarelli
Comparison fields: 5 of 123
  • Molecular Biology 936
  • Pulmonary and Respiratory Medicine 466
  • Genetics 257
  • Genetics 195
  • Surgery 189
Replace Yiu Wa Chung with:
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Joseph L. Alcorn United States
Jennifer J. Barb United States
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Philip M. Cummins Ireland
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Jacques R.R. Mathieu France
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Yiu Wa Chung Hong Kong View profile →
Citations per field, relative to Marco Lucarelli
Marco Lucarelli · 1×
Citations per year, relative to Marco Lucarelli
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Countries citing papers authored by Marco Lucarelli

Since Specialization
Citations

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

Fields of papers citing papers by Marco Lucarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Lucarelli

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Lucarelli. A scholar is included among the top collaborators of Marco Lucarelli 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 Marco Lucarelli. Marco Lucarelli 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
# Work Indexed citations
1 0
2 0
3 0
4 1
5 3
6 22
7 12
8 13
9 2
10 1
11 3
12 22
13 4
14 17
15 32
16 41
17 47
18 17
19 17
20 5

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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