P. Lucarelli

2.3k total citations · 1 hit paper
75 papers, 1.8k citations indexed

About

P. Lucarelli is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, P. Lucarelli has authored 75 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 26 papers in Molecular Biology and 18 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in P. Lucarelli's work include Pancreatic function and diabetes (15 papers), Diabetes and associated disorders (13 papers) and Alkaline Phosphatase Research Studies (11 papers). P. Lucarelli is often cited by papers focused on Pancreatic function and diabetes (15 papers), Diabetes and associated disorders (13 papers) and Alkaline Phosphatase Research Studies (11 papers). P. Lucarelli collaborates with scholars based in Italy, United States and India. P. Lucarelli's co-authors include Nunzio Bottini, Tullio Meloni, Andrés Alonso, Maurizio Pellecchia, George S. Eisenbarth, Tomas Mustelin, James P. MacMurray, Konstantina Nika, Lucia Musumeci and David E. Comings and has published in prestigious journals such as Science, Nature Genetics and PEDIATRICS.

In The Last Decade

P. Lucarelli

74 papers receiving 1.7k citations

Hit Papers

A functional variant of lymphoid tyrosine phosphatase is ... 2004 2026 2011 2018 2004 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A functional variant of lymphoid tyrosine phosphatase is associated with type I diabetes
    2004 1.0k citations Nunzio Bottini, Lucia Musumeci et al. Nature Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. Lucarelli Italy 16 918 633 594 357 328 75 1.8k
June Davies United Kingdom 14 1.3k 1.4× 770 1.2× 343 0.6× 609 1.7× 399 1.2× 18 2.1k
Sheila Palmer United Kingdom 5 1.1k 1.2× 410 0.6× 439 0.7× 544 1.5× 345 1.1× 6 1.6k
Sarina G. Kant Netherlands 26 1.3k 1.4× 1.4k 2.2× 523 0.9× 193 0.5× 451 1.4× 70 2.7k
Ching‐Shwun Lin United States 25 666 0.7× 1.1k 1.8× 145 0.2× 166 0.5× 365 1.1× 56 2.5k
P. Sistonen Finland 25 906 1.0× 643 1.0× 215 0.4× 250 0.7× 56 0.2× 52 2.2k
Leonard Pinsky Canada 28 852 0.9× 1.4k 2.2× 120 0.2× 169 0.5× 812 2.5× 77 2.4k
Karen E. Heath Spain 28 1.1k 1.1× 1.3k 2.0× 129 0.2× 404 1.1× 416 1.3× 106 2.6k
H. Minaguchi Japan 26 250 0.3× 476 0.8× 310 0.5× 126 0.4× 260 0.8× 111 2.0k
Shoji Kuwata Japan 23 398 0.4× 210 0.3× 619 1.0× 149 0.4× 195 0.6× 74 1.5k
Marie Legendre France 23 583 0.6× 741 1.2× 202 0.3× 143 0.4× 130 0.4× 82 1.6k

Countries citing papers authored by P. Lucarelli

Since Specialization
Citations

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

Fields of papers citing papers by P. Lucarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Lucarelli

This figure shows the co-authorship network connecting the top 25 collaborators of P. Lucarelli. A scholar is included among the top collaborators of P. 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 P. Lucarelli. P. 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
1.
Arpino, Carla, et al.. (2005). Lack of association between IDE genetic variability and Down's syndrome. Neuroscience Letters. 382(1-2). 93–95. 2 indexed citations
2.
Bergamaschi, Antonio, Andrea Magrini, Nunzio Bottini, et al.. (2005). Serum glucose concentration and ACP1 genotype in healthy adult subjects. Metabolism. 54(7). 891–894. 18 indexed citations
3.
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Bottini, Nunzio, Tullio Meloni, P. Lucarelli, et al.. (2004). Risk of type 1 diabetes in childhood and maternal age at delivery, interaction with ACPI and sex. Diabetes/Metabolism Research and Reviews. 21(4). 353–358. 7 indexed citations
5.
Bottini, Nunzio, Lucia Musumeci, Andrés Alonso, et al.. (2004). A functional variant of lymphoid tyrosine phosphatase is associated with type I diabetes. Nature Genetics. 36(4). 337–338. 1029 indexed citations breakdown →
6.
Lucarelli, P., et al.. (2004). Association between presenilin-1 −48C/T polymorphism and Down’s syndrome. Neuroscience Letters. 367(1). 88–91. 7 indexed citations
7.
Meloni, Tullio, et al.. (2003). Association of the ACP1 genotype with metabolic parameters upon initial diagnosis of type 1 diabetes.. PubMed. 9(3). CR105–8. 5 indexed citations
8.
Lucarelli, P., et al.. (2003). The role of −850 tumor necrosis factor-α and apolipoprotein E genetic polymorphism in patients with Down's syndrome-related dementia. Neuroscience Letters. 352(1). 29–32. 9 indexed citations
9.
Bottini, Nunzio, Tullio Meloni, Paola Borgiani, et al.. (2002). Genotypes of cytosolic low[ndash ]molecular-weight protein-tyrosine-phosphatase correlate with age at onset of type 1 diabetes in a sex-specific manner. Metabolism. 51(4). 419–422. 19 indexed citations
10.
11.
12.
Gloria‐Bottini, F., P. Lucarelli, N. Lucarini, & E. Bottini. (2000). Adenosine deaminase-acid phosphatase association and the environment: A study in a continental Italian population. American Journal of Human Biology. 12(2). 214–220. 4 indexed citations
13.
Scacchi, R., P. Lucarelli, & Rosa Maria Corbo. (1989). &alpha;<sub>2</sub>HS-Glycoprotein Phenotype and Allele Distribution in Continental Italy and Sardinia. Human Heredity. 39(1). 52–54. 5 indexed citations
14.
Gloria‐Bottini, F., et al.. (1989). Interaction at clinical level between erythrocyte acid phosphatase and adenosine deaminase genetic polymorphisms. Human Genetics. 82(3). 213–215. 7 indexed citations
15.
Palmarino, R., Elide Mantuano, & P. Lucarelli. (1988). Restriction Fragment Length Polymorphism of the D1S1 Locus in Italy. Human Heredity. 38(5). 323–325. 1 indexed citations
16.
17.
Scacchi, R., et al.. (1983). Human Phosphoglucomutase Locus 1: Red Cell Enzymatic Activities Associated with Common Isoelectric Focusing Phenotypes. Human Heredity. 33(4). 218–222. 12 indexed citations
18.
Corbo, Rosa Maria, et al.. (1981). A Survey of Serum Protein and Enzyme Polymorphisms in the District of L’Aquila (Italy). Human Heredity. 31(3). 167–171. 8 indexed citations
19.
Scacchi, R., R Pascone, R. Palmarino, & P. Lucarelli. (1981). C3 Polymorphism and the Antibody Titres in Pregnancy. Human Heredity. 31(3). 183–186. 5 indexed citations
20.
Lucarelli, P., et al.. (1978). Genetic Polymorphisms in Juvenile-Onset Diabetes. Human Heredity. 28(2). 89–95. 9 indexed citations

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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