Daniela Russo

69 total papers · 534 total citations
10 papers, 94 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 94 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, United States and Argentina. Daniela Russo's co-authors include Giovanni Scambia, Ivano Raimondo, Valeria Masciullo, Antonio Giordano, Michele Roccella, Rosa Tambaro, Marilena Di Napoli, Luigi Vetri, Francesco Precenzano and Daniela Califano and has published in prestigious journals such as Cells, Cancer Immunology Immunotherapy and International Journal of Gynecological Cancer.

In The Last Decade

Daniela Russo

8 papers receiving 93 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniela Russo	33	31	23	19	18	10	94
Ky’Era V. Actkins	5 0.2×	59 1.9×	9 0.4×	29 1.5×	6 0.3×	13	147
Grace J. Lee	8 0.2×	9 0.3×	15 0.7×	58 3.1×	6 0.3×	13	231
Talia Boshari	35 1.1×	58 1.9×	41 1.8×	130 6.8×	16 0.9×	8	222
J. Lerman	13 0.4×	30 1.0×	10 0.4×	23 1.2×	8 0.4×	9	249
Amelia Hawkes	138 4.2×	115 3.7×	14 0.6×	28 1.5×	9 0.5×	8	262
Cassandra Nichols	26 0.8×	53 1.7×	25 1.1×	9 0.5×	9 0.5×	9	109
Éloïse Fraison	23 0.7×	182 5.9×	10 0.4×	51 2.7×	4 0.2×	15	249
Núria Seguí	7 0.2×	6 0.2×	30 1.3×	27 1.4×	23 1.3×	13	119
C Brémont	20 0.6×	42 1.4×	10 0.4×	57 3.0×	3 0.2×	9	235
Clara Yujing Cheong	14 0.4×	11 0.4×	4 0.2×	110 5.8×	16 0.9×	12	160

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

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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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