Danila Serpico

631 total citations
9 papers, 407 citations indexed

About

Danila Serpico is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Danila Serpico has authored 9 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Neurology. Recurrent topics in Danila Serpico's work include Cancer Research and Treatments (3 papers), Occupational and environmental lung diseases (3 papers) and Myasthenia Gravis and Thymoma (2 papers). Danila Serpico is often cited by papers focused on Cancer Research and Treatments (3 papers), Occupational and environmental lung diseases (3 papers) and Myasthenia Gravis and Thymoma (2 papers). Danila Serpico collaborates with scholars based in Italy, Australia and United Kingdom. Danila Serpico's co-authors include Serena Di Cosimo, Paolo Andrea Zucali, Gemma Gatta, Annalisa Trama, Marina Chiara Garassino, Marta Scorsetti, Francesco Leo, Marianna Macerelli, Rolando Maria D’Angelillo and Jordi Rodón and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Annals of Oncology.

In The Last Decade

Danila Serpico

9 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danila Serpico Italy 5 196 132 123 81 78 9 407
Tomoki Yokoyama Japan 11 203 1.0× 63 0.5× 139 1.1× 102 1.3× 196 2.5× 19 535
Sam Q. Sun United States 9 236 1.2× 75 0.6× 112 0.9× 115 1.4× 34 0.4× 11 486
Kiyosuke Ishiguro Japan 11 57 0.3× 74 0.6× 64 0.5× 88 1.1× 111 1.4× 38 362
Sotaro Otake Japan 12 45 0.2× 64 0.5× 61 0.5× 91 1.1× 104 1.3× 17 354
Jonathan C. Pang United States 10 61 0.3× 54 0.4× 145 1.2× 26 0.3× 94 1.2× 39 324
Marie Louise Mølgaard Binderup Denmark 9 53 0.3× 206 1.6× 111 0.9× 28 0.3× 61 0.8× 16 313
Lily Yang United States 10 156 0.8× 44 0.3× 57 0.5× 110 1.4× 190 2.4× 14 391
Frieda van der Ham Netherlands 9 31 0.2× 121 0.9× 73 0.6× 109 1.3× 53 0.7× 11 355
Katherine J. Blair United States 11 26 0.1× 84 0.6× 138 1.1× 22 0.3× 128 1.6× 17 389
Wenzel M. Hackeng Netherlands 12 107 0.5× 75 0.6× 69 0.6× 13 0.2× 294 3.8× 23 408

Countries citing papers authored by Danila Serpico

Since Specialization
Citations

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

Fields of papers citing papers by Danila Serpico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danila Serpico

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

All Works

9 of 9 papers shown
1.
Hassan, Raffit, Ross Jennens, Jan P. van Meerbeeck, et al.. (2017). P2.06-027 Randomized Phase II Study of Anetumab Ravtansine or Vinorelbine in Patients with Metastatic Pleural Mesothelioma. Journal of Thoracic Oncology. 12(1). S1087–S1088. 1 indexed citations
2.
Scorsetti, Marta, Francesco Leo, Annalisa Trama, et al.. (2016). Thymoma and thymic carcinomas. Critical Reviews in Oncology/Hematology. 99. 332–350. 200 indexed citations
4.
Hassan, Raffit, Ross Jennens, Jan P. van Meerbeeck, et al.. (2016). A pivotal randomized phase II study of anetumab ravtansine or vinorelbine in patients with advanced or metastatic pleural mesothelioma after progression on platinum/pemetrexed-based chemotherapy (NCT02610140).. Journal of Clinical Oncology. 34(15_suppl). TPS8576–TPS8576. 18 indexed citations
5.
Serpico, Danila, Luca Porcu, Anna Tessari, et al.. (2015). Disease progression pattern in metastatic breast cancer patients treated with anti-HER2 therapies. Clinical & Translational Oncology. 17(7). 530–538. 2 indexed citations
6.
Serpico, Danila, Annalisa Trama, Eva Regina Haspinger, et al.. (2014). Available evidence and new biological perspectives on medical treatment of advanced thymic epithelial tumors. Annals of Oncology. 26(5). 838–847. 17 indexed citations
7.
Serpico, Danila, et al.. (2013). microRNAs in breast cancer development and treatment. Cancer Treatment Reviews. 40(5). 595–604. 101 indexed citations
8.
Dienstmann, Rodrigo, Danila Serpico, Jordi Rodón, et al.. (2012). Molecular Profiling of Patients with Colorectal Cancer and Matched Targeted Therapy in Phase I Clinical Trials. Molecular Cancer Therapeutics. 11(9). 2062–2071. 65 indexed citations
9.
Dienstmann, Rodrigo, Gessamí Sánchez-Ollé, Danila Serpico, et al.. (2012). Molecular profiling of patients (pts) with colorectal cancer (CRC) and matched targeted therapy (MTA) in phase I clinical trials.. Journal of Clinical Oncology. 30(15_suppl). 3014–3014. 1 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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