Daniela De Martino

44 total papers · 897 total citations
15 papers, 466 citations indexed

About

Daniela De Martino is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Daniela De Martino has authored 15 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Daniela De Martino's work include Cancer, Stress, Anesthesia, and Immune Response (2 papers), Neonatal Health and Biochemistry (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Daniela De Martino is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (2 papers), Neonatal Health and Biochemistry (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Daniela De Martino collaborates with scholars based in Italy, United States and Russia. Daniela De Martino's co-authors include Jose Javier Bravo‐Cordero, Massimo Zollo, Antonio Di Cristofano, Valeria Di Dato, Michela Ranieri, Natascia Marino, Daniela Spano, Luigi Navas, Lucia Liguori and Giuseppe Biondi and has published in prestigious journals such as Cancer Research, Nature Chemical Biology and Cancer Letters.

In The Last Decade

Daniela De Martino

15 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela De Martino 195 135 86 71 65 15 466
Jeou-Yuan Chen 261 1.3× 177 1.3× 75 0.9× 56 0.8× 76 1.2× 16 508
Ling Yin 229 1.2× 90 0.7× 67 0.8× 107 1.5× 34 0.5× 24 503
Fuxiang Bai 225 1.2× 104 0.8× 106 1.2× 76 1.1× 100 1.5× 21 474
Vassilis Samaras 201 1.0× 116 0.9× 66 0.8× 89 1.3× 74 1.1× 15 436
Jens Würthner 326 1.7× 94 0.7× 48 0.6× 104 1.5× 68 1.0× 15 547
Sonja Thaler 274 1.4× 162 1.2× 49 0.6× 103 1.5× 70 1.1× 25 542
John A. Shupe 236 1.2× 120 0.9× 39 0.5× 80 1.1× 76 1.2× 16 525
Wenhua You 229 1.2× 138 1.0× 71 0.8× 111 1.6× 68 1.0× 12 422
Minghuan Zheng 240 1.2× 70 0.5× 109 1.3× 59 0.8× 67 1.0× 14 509
Marie C. Chia 232 1.2× 112 0.8× 52 0.6× 45 0.6× 54 0.8× 15 405

Countries citing papers authored by Daniela De Martino

Since Specialization
Citations

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

Fields of papers citing papers by Daniela De Martino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela De Martino

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela De Martino. A scholar is included among the top collaborators of Daniela De Martino 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 De Martino. Daniela De Martino 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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