Alessandra Dicitore

1.2k citations
46 papers · 933 · h-index 16

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
    • Pancreatic and Hepatic Oncology Research
  • Neurology top 10%
    • Neuroblastoma Research and Treatments

Papers in

Alessandra Dicitore

46 papers receiving 918 citations

Peers

Alessandra Dicitore
Comparison fields: 5 of 87
  • Oncology 251
  • Neurology 116
  • Cancer Research 110
  • Endocrinology, Diabetes and Metabolism 120
  • Geriatrics and Gerontology 24
Replace Jae-Ryong Kim with:
Jae-Ryong Kim South Korea
S. Vijayalingam United States
Linkang Zhou China
Rajani Rajbhandari United States
Xiaolong Lin China
Juliano Alves Brazil
Yi‐Qun Zhan China
Michal Hensler Czechia
Chang‐Hui Ge China
Ryosuke Ishimura Japan
Alessandra Dicitore relative to Jae-Ryong Kim South Korea Jae-Ryong Kim's profile →
Citations per field
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Jae-Ryong Kim · 1×
Citations per year

Countries citing papers authored by Alessandra Dicitore

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra Dicitore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alessandra Dicitore, 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 Alessandra Dicitore Line = papers co-authored together Alessandra Dicitore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201488
2 201685
3 201176
4 200862
5 201153
6 201747
7 201345
8 201340
9 201136
10 201034
11 201826
12 201723
13 201520
14 201319
15 201519
16 202117
17 201915
18 202115
19 201315
20 201314

About Alessandra Dicitore

Alessandra Dicitore is a scholar working on Molecular Biology, Oncology, Epidemiology, Neurology and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 933 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (9 papers), Neuroendocrine Tumor Research Advances (9 papers), Lung Cancer Research Studies (6 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Receptor Mechanisms and Signaling (4 papers), Cancer Mechanisms and Therapy (4 papers), Neuropeptides and Animal Physiology (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Oncology (251 citations), Neurology (116 citations), Cancer Research (110 citations), Endocrinology, Diabetes and Metabolism (120 citations) and Geriatrics and Gerontology (24 citations). Alessandra Dicitore has collaborated with scholars based in Italy, Netherlands and Russia. Frequent co-authors include Giovanni Vitale, Luca Persani, Germano Gaudenzi, Michele Caraglia, Paola Stiuso, Diego Ferone, Leo J. Hofland, Franco Cotelli, Pasquale Ferranti and María Orietta Borghi. Their work appears in journals such as Cancers, Endocrine Related Cancer, Amino Acids, International Journal of Molecular Sciences and Neuroendocrinology.

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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