Cecilia Diceglie

1.1k citations
15 papers · 803 indexed · 1 hit paper · h-index 11

Cecilia Diceglie

15 papers receiving 797 citations

Hit Papers

Genetic Analysis of Italian Patients with Congenital Hype...3872013202620172021100200300

Peers

Cecilia Diceglie
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 238
  • Cancer Research 200
  • Genetics 95
  • Molecular Biology 371
  • Surgery 223
Replace Erica Dugnani with:
Erica Dugnani Italy
Jan‐Marcus Daniel Germany
Mikael Schneider Denmark
Laila Siam Germany
Xian Zhang China
Roel Bijkerk Netherlands
Hans-Ullrich Voelker Germany
Juan A. Ardura Spain
Stanisław Nowak Poland
Cecilia Diceglie relative to Erica Dugnani Italy Erica Dugnani's profile →
Citations per field
00.5×3.0×
Erica Dugnani · 1×
Citations per year

Countries citing papers authored by Cecilia Diceglie

Since Specialization
Citations

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

Fields of papers citing papers by Cecilia Diceglie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Cecilia Diceglie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cecilia Diceglie Line = papers co-authored together Cecilia Diceglie links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202123
2 20217
3 20191
4 201939
5 201861
6 201751
7 201765
8 201631
9 201643
10 201638
11 201518
12
Magnetic Resonance Imaging of Stem Cell Transplantation in Injured Mouse Spinal Cord
20141
13
Genetic Analysis of Italian Patients with Congenital Hyperinsulinism of Infancybreakdown →
2013387
14 201337
15 20121

About Cecilia Diceglie

Cecilia Diceglie is a scholar working on Genetics, Cancer Research and Geriatrics and Gerontology, having authored 15 papers that have together received 803 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Glioma Diagnosis and Treatment (4 papers), Mitochondrial Function and Pathology (3 papers), Mesenchymal stem cell research (2 papers), Neuroblastoma Research and Treatments (2 papers), RNA modifications and cancer (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (238 citations), Cancer Research (200 citations) and Genetics (95 citations). Cecilia Diceglie has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Luisa Ottobrini, Cristina Martelli, Alessia Lo Dico, Eleonora Mangano, A. Gessi, I. Zamproni, Rosanna Asselta, Alessandro Salvatoni, Stefano Mora and Paola Sogno Valin. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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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