Marco Masala

2.5k total citations
7 papers, 272 citations indexed

About

Marco Masala is a scholar working on Pediatrics, Perinatology and Child Health, Nephrology and Molecular Biology. According to data from OpenAlex, Marco Masala has authored 7 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pediatrics, Perinatology and Child Health, 2 papers in Nephrology and 1 paper in Molecular Biology. Recurrent topics in Marco Masala's work include Birth, Development, and Health (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Behavioral Health and Interventions (1 paper). Marco Masala is often cited by papers focused on Birth, Development, and Health (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Behavioral Health and Interventions (1 paper). Marco Masala collaborates with scholars based in Italy, United States and Sweden. Marco Masala's co-authors include David Schlessinger, Manuela Uda, Antonio Terracciano, Alessandro Delitala, Gonçalo R. Abecasis, Edoardo Fiorillo, Marco Orrù, Michael Griswold, Mara Marongiu and Silvia Naitza and has published in prestigious journals such as Genetics, Journal of the American Society of Nephrology and Human Molecular Genetics.

In The Last Decade

Marco Masala

6 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Masala Italy	6	76	46	46	34	29	7	272
Domenico Russo Italy	11	50 0.7×	27 0.6×	44 1.0×	49 1.4×	58 2.0×	32	332
Anna Moczulska Poland	6	77 1.0×	26 0.6×	22 0.5×	66 1.9×	51 1.8×	14	367
ManashP Baruah India	13	33 0.4×	42 0.9×	19 0.4×	10 0.3×	16 0.6×	51	535
M. D. Ellison United States	7	23 0.3×	32 0.7×	37 0.8×	52 1.5×	25 0.9×	15	372
Bedowra Zabeen Bangladesh	12	74 1.0×	23 0.5×	24 0.5×	31 0.9×	53 1.8×	41	622
Carmen D’Amore Italy	11	26 0.3×	31 0.7×	35 0.8×	44 1.3×	57 2.0×	34	298
Amar D. Bansal United States	9	60 0.8×	56 1.2×	64 1.4×	85 2.5×	14 0.5×	25	326
Laura M. Gandrud United States	11	123 1.6×	73 1.6×	60 1.3×	4 0.1×	32 1.1×	15	646
Anna Laura Fantuzzi Italy	4	21 0.3×	20 0.4×	21 0.5×	26 0.8×	34 1.2×	9	339
Ebru Gök Oğuz Türkiye	11	14 0.2×	35 0.8×	42 0.9×	87 2.6×	24 0.8×	42	261

Countries citing papers authored by Marco Masala

Since Specialization

Citations

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

Fields of papers citing papers by Marco Masala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Masala

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Wang, Chen, Marco Masala, Edoardo Fiorillo, et al.. (2025). Quantile-specific confounding: correction for subtle population stratification via quantile regression. Genetics. 231(1).

2.

Ganau, Antonello, Marco Orrù, Matteo Floris, et al.. (2023). Echocardiographic heart ageing patterns predict cardiovascular and non-cardiovascular events and reflect biological age: the SardiNIA study. European Journal of Preventive Cardiology. 31(6). 677–685. 8 indexed citations

3.

Luchetti, Martina, Angelina R. Sutin, Alessandro Delitala, et al.. (2018). Personality traits and facets linked with self-reported alcohol consumption and biomarkers of liver health. Addictive Behaviors. 82. 135–141. 32 indexed citations

4.

Piras, Doloretta, Marco Masala, Alessandro Delitala, et al.. (2018). Kidney size in relation to ageing, gender, renal function, birthweight and chronic kidney disease risk factors in a general population. Nephrology Dialysis Transplantation. 35(4). 640–647. 32 indexed citations

5.

Pani, Antonello, Jennifer L. Bragg‐Gresham, Marco Masala, et al.. (2014). Prevalence of CKD and Its Relationship to eGFR-Related Genetic Loci and Clinical Risk Factors in the SardiNIA Study Cohort. Journal of the American Society of Nephrology. 25(7). 1533–1544. 36 indexed citations

6.

Tolea, Magdalena I., Paul T. Costa, Antonio Terracciano, et al.. (2010). Sex-Specific Correlates of Walking Speed in a Wide Age-Ranged Population. The Journals of Gerontology Series B. 65B(2). 174–184. 66 indexed citations

7.

Sanna, Serena, Fabio Busonero, Andrea Maschio, et al.. (2009). Common variants in the SLCO1B3 locus are associated with bilirubin levels and unconjugated hyperbilirubinemia. Human Molecular Genetics. 18(14). 2711–2718. 98 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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