Serena Di Cosimo

10.6k citations
181 papers · 5.0k indexed · 2 hit papers · h-index 35
Topics
HER2/EGFR in Cancer Research (72 papers)Breast Cancer Treatment Studies (55 papers)Cancer Treatment and Pharmacology (43 papers)
Partner nations
ItalySpainUnited States

In The Last Decade

Serena Di Cosimo

171 papers receiving 4.9k citations

Hit Papers

Expression of p95HER2, a Truncated Form of the HER2 Recep...200720262013201920072008200400600

Peers

Serena Di Cosimo
Comparison fields: 5 of 122
  • Oncology 3.1k
  • Molecular Biology 1.8k
  • Cancer Research 1.5k
  • Pulmonary and Respiratory Medicine 1.0k
  • Radiology, Nuclear Medicine and Imaging 939
Replace Beth Overmoyer with:
Beth Overmoyer United States
Kan Yonemori Japan
L. Campion France
Nina J. Karlin United States
Junji Uchida Japan
Ferry A.L.M. Eskens Netherlands
Montserrat Muñoz-Mateu Spain
Daniele Generali Italy
Shenghui Tang United States
Carmen Criscitiello Italy
Serena Di Cosimo relative to Beth Overmoyer United States Beth Overmoyer's profile →
Citations per field
00.5×1.5×
Beth Overmoyer · 1×
Citations per year

Countries citing papers authored by Serena Di Cosimo

Since Specialization
Citations

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

Fields of papers citing papers by Serena Di Cosimo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Serena Di Cosimo. 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 Serena Di Cosimo. The network helps show where Serena Di Cosimo may publish in the future.

Co-authorship network of co-authors of Serena Di Cosimo

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 3
6 1
7 24
8 1
9 2
10 7
11 5
12 29
13 4
14 8
15 22
16 1
17 37
18 106
19 48
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NVP-BEZ235, a Dual PI3K/mTOR Inhibitor, Prevents PI3K Signaling and Inhibits the Growth of Cancer Cells with Activating PI3K Mutationsbreakdown →
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About Serena Di Cosimo

Serena Di Cosimo is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 181 papers that have together received 5.0k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (72 papers), Breast Cancer Treatment Studies (55 papers) and Cancer Treatment and Pharmacology (43 papers). The work is most often cited by research in Oncology (3.1k citations), Cancer Research (1.5k citations) and Radiology, Nuclear Medicine and Imaging (939 citations). Serena Di Cosimo has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include José Baselga, Marta Guzmán, Joaquı́n Arribas, Maurizio Scaltriti, Javier Cortés, Federico Rojo, Paolo Carlini, G. Ferretti, Judit Anido and Santiago Ramón y Cajal. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

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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