Nadia Antonucci

696 total citations · 1 hit paper
6 papers, 459 citations indexed

About

Nadia Antonucci is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nadia Antonucci has authored 6 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nadia Antonucci's work include Genetic and Kidney Cyst Diseases (2 papers), Artificial Intelligence in Healthcare (1 paper) and Food Allergy and Anaphylaxis Research (1 paper). Nadia Antonucci is often cited by papers focused on Genetic and Kidney Cyst Diseases (2 papers), Artificial Intelligence in Healthcare (1 paper) and Food Allergy and Anaphylaxis Research (1 paper). Nadia Antonucci collaborates with scholars based in Italy, Germany and Canada. Nadia Antonucci's co-authors include Giuseppe Verlato, Mirko Manchia, Hema Sekhar Reddy Rajula, Vassilios Fanos, Antonio Lupo, Gianluigi Zaza, Simona Granata, Maurizio Bruschi, Andrea Petretto and Giovanni Gambaro and has published in prestigious journals such as International Journal of Molecular Sciences, Kidney International and Clinical Journal of the American Society of Nephrology.

In The Last Decade

Nadia Antonucci

6 papers receiving 453 citations

Hit Papers

align trajectories

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.

Comparison of Conventional Statistical Methods with Machine Learning in Medicine: Diagnosis, Drug Development, and Treatment

2020 362 citations Hema Sekhar Reddy Rajula, Giuseppe Verlato et al. Medicina profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nadia Antonucci Italy	6	75	61	57	42	40	6	459
Hema Sekhar Reddy Rajula Italy	5	42 0.6×	65 1.1×	54 0.9×	43 1.0×	29 0.7×	7	428
Jia Ren China	10	73 1.0×	70 1.1×	47 0.8×	49 1.2×	36 0.9×	19	445
J. Kenneth Tay United States	6	69 0.9×	48 0.8×	38 0.7×	36 0.9×	17 0.4×	6	456
Yejin Park South Korea	11	41 0.5×	54 0.9×	47 0.8×	37 0.9×	20 0.5×	35	465
Jiebin Chen China	10	52 0.7×	84 1.4×	69 1.2×	37 0.9×	46 1.1×	19	417
Francis Nguyen Canada	11	271 3.6×	92 1.5×	47 0.8×	32 0.8×	40 1.0×	33	727
Sandro Radovanović Serbia	12	43 0.6×	65 1.1×	25 0.4×	16 0.4×	102 2.5×	43	636
Marjan Mansourvar Denmark	12	25 0.3×	68 1.1×	59 1.0×	43 1.0×	31 0.8×	35	399
Xiaoguang Zou China	12	133 1.8×	27 0.4×	96 1.7×	44 1.0×	44 1.1×	39	552
Toktam Khatibi Iran	14	21 0.3×	121 2.0×	73 1.3×	65 1.5×	38 0.9×	41	474

Countries citing papers authored by Nadia Antonucci

Since Specialization

Citations

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

Fields of papers citing papers by Nadia Antonucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Antonucci

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

All Works

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6 of 6 papers shown

1.

Pecoraro, Luca, Sonsoles Infante, Victoria Fuentes‐Aparicio, et al.. (2021). IgE‐mediated fish allergy in pediatric age: Does canned tuna have a chance for tolerance?. Pediatric Allergy and Immunology. 32(5). 1114–1117. 9 indexed citations

2.

Santis, Daniele De, Federico Gelpi, Giuseppe Verlato, et al.. (2021). Digital Customized Titanium Mesh for Bone Regeneration of Vertical, Horizontal and Combined Defects: A Case Series. Medicina. 57(1). 60–60. 16 indexed citations

3.

Rajula, Hema Sekhar Reddy, Giuseppe Verlato, Mirko Manchia, Nadia Antonucci, & Vassilios Fanos. (2020). Comparison of Conventional Statistical Methods with Machine Learning in Medicine: Diagnosis, Drug Development, and Treatment. Medicina. 56(9). 455–455. 362 indexed citations breakdown →

4.

Bruschi, Maurizio, Simona Granata, Laura Santucci, et al.. (2019). Proteomic Analysis of Urinary Microvesicles and Exosomes in Medullary Sponge Kidney Disease and Autosomal Dominant Polycystic Kidney Disease. Clinical Journal of the American Society of Nephrology. 14(6). 834–843. 42 indexed citations

5.

Granata, Simona, Valentina Masola, Paola Tomei, et al.. (2018). In Vitro Identification of New Transcriptomic and miRNomic Profiles Associated with Pulmonary Fibrosis Induced by High Doses Everolimus: Looking for New Pathogenetic Markers and Therapeutic Targets. International Journal of Molecular Sciences. 19(4). 1250–1250. 6 indexed citations

6.

Fabris, Antonia, Maurizio Bruschi, Laura Santucci, et al.. (2016). Proteomic-based research strategy identified laminin subunit alpha 2 as a potential urinary-specific biomarker for the medullary sponge kidney disease. Kidney International. 91(2). 459–468. 24 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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