Daniela Russo

553 total citations
10 papers, 96 citations indexed

About

Daniela Russo is a scholar working on Reproductive Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Daniela Russo has authored 10 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Reproductive Medicine, 5 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Daniela Russo's work include Ovarian cancer diagnosis and treatment (6 papers), PARP inhibition in cancer therapy (3 papers) and Endometrial and Cervical Cancer Treatments (2 papers). Daniela Russo is often cited by papers focused on Ovarian cancer diagnosis and treatment (6 papers), PARP inhibition in cancer therapy (3 papers) and Endometrial and Cervical Cancer Treatments (2 papers). Daniela Russo collaborates with scholars based in Italy, Argentina and United States. Daniela Russo's co-authors include Valeria Masciullo, Antonio Giordano, Giovanni Scambia, Ivano Raimondo, Marilena Di Napoli, Michele Roccella, Marco Carotenuto, Sabrina Chiara Cecere, Daniela Califano and Laura Attademo and has published in prestigious journals such as Cells, Cancer Immunology Immunotherapy and International Journal of Gynecological Cancer.

In The Last Decade

Daniela Russo

9 papers receiving 95 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Russo Italy 5 34 32 23 20 19 10 96
Ky’Era V. Actkins United States 5 5 0.1× 59 1.8× 9 0.4× 29 1.4× 6 0.3× 13 151
V. Jayde Australia 4 10 0.3× 27 0.8× 32 1.4× 17 0.8× 10 0.5× 6 81
Cassandra Nichols Australia 6 27 0.8× 54 1.7× 26 1.1× 9 0.5× 9 0.5× 9 111
Núria Seguí Spain 6 8 0.2× 6 0.2× 30 1.3× 27 1.4× 24 1.3× 13 120
Anxhela Gjyshi United States 4 7 0.2× 40 1.3× 18 0.8× 30 1.5× 18 0.9× 4 76
Taymaa May United States 4 12 0.4× 20 0.6× 7 0.3× 30 1.5× 7 0.4× 6 54
M. Kortman Netherlands 5 34 1.0× 167 5.2× 37 1.6× 9 0.5× 6 0.3× 7 214
Clare Gibbons Canada 7 12 0.4× 5 0.2× 5 0.2× 20 1.0× 7 0.4× 17 115
Clara Yujing Cheong Singapore 8 15 0.4× 11 0.3× 4 0.2× 110 5.5× 16 0.8× 12 161
Hongzhen Li China 8 33 1.0× 58 1.8× 8 0.3× 21 1.1× 5 0.3× 16 120

Countries citing papers authored by Daniela Russo

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Russo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Russo

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

All Works

10 of 10 papers shown
1.
Canzonieri, Vincenzo, Rossella De Cecio, Laura Arenare, et al.. (2025). Programmed death‐ligand 1 expression and prognostic significance in bevacizumab treated ovarian cancer patients: Results from the phase IV MITO16A/MaNGO OV‐2 translational study. Clinical and Translational Medicine. 15(6). e70373–e70373. 1 indexed citations
3.
Califano, Daniela, Daniela Russo, Giosuè Scognamiglio, et al.. (2020). Ovarian Cancer Translational Activity of the Multicenter Italian Trial in Ovarian Cancer (MITO) Group: Lessons Learned in 10 Years of Experience. Cells. 9(4). 903–903. 2 indexed citations
4.
Ventriglia, Jole, Carmela Pisano, Rosa Tambaro, et al.. (2020). Arthralgia in patients with ovarian cancer treated with bevacizumab and chemotherapy. International Journal of Gynecological Cancer. 31(1). 110–113. 3 indexed citations
5.
Tambaro, Rosa, Marilena Di Napoli, Carmela Pisano, et al.. (2020). From Clinical Trials to Clinical Use of Checkpoint Inhibitors for Patients With Metastatic Urothelial Cancer. Immunotherapy. 13(1). 67–77. 6 indexed citations
6.
Musacchio, Lucia, Giuseppe Caruso, Carmela Pisano, et al.. (2020). <p>PARP Inhibitors in Endometrial Cancer: Current Status and Perspectives</p>. Cancer Management and Research. Volume 12. 6123–6135. 26 indexed citations
7.
Vetri, Luigi, Michele Roccella, Rosa Marotta, et al.. (2020). Emotional–Behavioral Disorders in Healthy Siblings of Children with Neurodevelopmental Disorders. Medicina. 56(10). 491–491. 25 indexed citations
8.
Monaco, Mario, Gennaro Chiappetta, Antonella Federico, et al.. (2014). CBX7 Expression in Oncocytic Thyroid Neoplastic Lesions (Hürthle Cell Adenomas and Carcinomas). European Thyroid Journal. 3(4). 211–6. 6 indexed citations
9.
Masciullo, Valeria, et al.. (2010). Controversies in the Management of Endometrial Cancer. Obstetrics and Gynecology International. 2010(1). 638165–638165. 25 indexed citations
10.
Russo, Daniela, et al.. (2006). [Pure gonad dysgenesia or Swyer sindrome. A case report having tumoral development: melanoma].. PubMed. 19(4). 244–6. 2 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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