Daniela Cullurà

431 citations
21 papers · 322 · h-index 8

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Cancer Treatment and Pharmacology
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Immunotherapy and Biomarkers 6
    • Cancer Treatment and Pharmacology 4
    • HER2/EGFR in Cancer Research 3
    • Renal cell carcinoma treatment 6
    • Lung Cancer Treatments and Mutations 3

Daniela Cullurà

21 papers receiving 317 citations

Peers

Daniela Cullurà
Comparison fields: 5 of 47
  • Oncology 193
  • Cancer Research 99
  • Pulmonary and Respiratory Medicine 205
  • Surgery 62
  • Radiology, Nuclear Medicine and Imaging 26
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Yongling Ji China
Teresa Alonso Gordoa Spain
Alketa Hamzaj Italy
Annalisa Guida Italy
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Cullurà

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Cullurà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015147
2 201533
3 200628
4 201228
5 201513
6 201610
7 201610
8 20168
9 20237
10 20126
11 20205
12 20245
13 20154
14 20244
15 20054
16 20233
17 20082
18 20232
19
Gene expression for interleukin-2 and tumor necrosis factor-alpha in the spleen of old rats under physiological condition and during septic shock. Possible pharmacological modulation.
19941
20 20111

About Daniela Cullurà

Daniela Cullurà is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Molecular Biology, having authored 21 papers that have together received 322 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Cancer Treatment and Pharmacology (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Cancer Genomics and Diagnostics (4 papers), HER2/EGFR in Cancer Research (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Oncology (193 citations), Cancer Research (99 citations), Pulmonary and Respiratory Medicine (205 citations), Surgery (62 citations) and Radiology, Nuclear Medicine and Imaging (26 citations). Daniela Cullurà has collaborated with scholars based in Italy, Switzerland and Canada. Frequent co-authors include Franco Nolè, Gaetano Aurilio, Maria Cossu Rocca, Elena Verri, Roberto Iacovelli, Matteo Santoni, Stefano Cascinu, Camillo Porta, Chiara Paglino and Giuseppe Renne. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer, Anti-Cancer Drugs, Annals of Oncology and Journal of Clinical Medicine.

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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