Vita Fedele

2.0k citations
19 papers · 1.1k indexed · 1 hit paper · h-index 14
Topics
Genomics and Chromatin Dynamics (5 papers)Cancer Genomics and Diagnostics (3 papers)Gene expression and cancer classification (3 papers)

In The Last Decade

Vita Fedele

19 papers receiving 1.1k citations

Hit Papers

Optimized high-throughput microRNA expression profiling p...20062026201220192006100200300400500

Peers

Vita Fedele
Comparison fields: 5 of 81
  • Molecular Biology 859
  • Cancer Research 646
  • Oncology 259
  • Pulmonary and Respiratory Medicine 109
  • Genetics 71
Replace Nishan Thilaganathan with:
Nishan Thilaganathan United States
Chun-Ju Chang United States
Peter Čamaj Germany
Dacheng Xie China
Alice Faversani Italy
Wei Wen Teo United States
Liangdong Li China
Yi Sang China
Sayuri Akiyoshi Japan
Basil Bakir United States
Vita Fedele relative to Nishan Thilaganathan United States Nishan Thilaganathan's profile →
Citations per field
00.5×1.5×2.2×
Nishan Thilaganathan · 1×
Citations per year

Countries citing papers authored by Vita Fedele

Since Specialization
Citations

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

Fields of papers citing papers by Vita Fedele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vita Fedele

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 6
2 44
3 19
4 20
5 24
6 32
7 30
8 72
9 30
10 1
11
Mutations in TP53 and associated genomic abnormalities are dependent on breast cancer estrogen receptor status and patient age
1
12 1
13 130
14 19
15 57
16
Optimized high-throughput microRNA expression profiling provides novel biomarker assessment of clinical prostate and breast cancer biopsies.breakdown →
589
17 8
18 19
19 18

About Vita Fedele

Vita Fedele is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Cancer Genomics and Diagnostics (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Cancer Research (646 citations), Molecular Biology (859 citations) and Oncology (259 citations). Vita Fedele has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Christopher C. Benz, David G. Ginzinger, Michael Mattie, Chris Haqq, Linda Wong, Jessica Bowers, Gary K. Scott, Robert Getts, Davide Melisi and Angelo Paradiso. Their work appears in journals such as Nature Communications, Cancer Research and Clinical Cancer Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026