Simona De Summa

2.8k citations
88 papers · 1.7k · h-index 23

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Melanoma and MAPK Pathways 7
    • DNA Repair Mechanisms 6
    • Cancer Immunotherapy and Biomarkers 8
    • PARP inhibition in cancer therapy 6

Simona De Summa

85 papers receiving 1.7k citations

Peers

Simona De Summa
Comparison fields: 5 of 128
  • Cancer Research 537
  • Oncology 491
  • Molecular Biology 917
  • Immunology 230
  • Genetics 185
Replace Haoyan Chen with:
Haoyan Chen China
Hong Zeng China
Yue Wang China
Carmine Carbone Italy
Laura Annaratone Italy
Shaogui Wan China
Jaclyn LoPiccolo United States
Caroline Truntzer France
Abdel‐Rahman N. Zekri Egypt
Mihai Gagea United States
Simona De Summa relative to Haoyan Chen China Haoyan Chen's profile →
Citations per field
00.5×1.5×2.0×
Haoyan Chen · 1×
Citations per year

Countries citing papers authored by Simona De Summa

Since Specialization
Citations

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

Fields of papers citing papers by Simona De Summa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simona De Summa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simona De Summa Line = papers co-authored together Simona De Summa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016140
2 2022116
3 202077
4 201771
5 202067
6 201666
7 201964
8 201957
9 201348
10 201448
11 201144
12 201538
13 202137
14 202135
15 202134
16 202033
17 201930
18 201529
19 201228
20 202126

About Simona De Summa

Simona De Summa is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 88 papers that have together received 1.7k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (13 papers), Cancer Immunotherapy and Biomarkers (8 papers), Cancer Genomics and Diagnostics (8 papers), MicroRNA in disease regulation (8 papers), Melanoma and MAPK Pathways (7 papers), Cancer-related molecular mechanisms research (7 papers), DNA Repair Mechanisms (6 papers) and PARP inhibition in cancer therapy (6 papers). The work is most often cited by research in Cancer Research (537 citations), Oncology (491 citations), Molecular Biology (917 citations), Immunology (230 citations) and Genetics (185 citations). Simona De Summa has collaborated with scholars based in Italy, Iran and Japan. Frequent co-authors include Stefania Tommasi, Rosamaria Pinto, Brunella Pilato, Angelo Paradiso, Katia Danza, Simona Serratì, Daniela Petriella, Amalia Azzariti, Nicola Silvestris and Rosanna Lacalamita. Their work appears in journals such as Oncotarget, Cancers, Frontiers in Oncology, BMC Cancer and Annals of Oncology.

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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