Bruna Tedeschi

32 papers receiving 571 citations

Peers

Bruna Tedeschi
Comparison fields: 5 of 75
  • Cancer Research 130
  • Hematology 77
  • Genetics 190
  • Pediatrics, Perinatology and Child Health 103
  • Radiology, Nuclear Medicine and Imaging 90
Replace W. M. COURT-BROWN with:
W. M. COURT-BROWN United Kingdom
KarinE. Buckton United Kingdom
Hatem Elghezal Tunisia
J. A. G. Davids Netherlands
Pasi Nokelainen Finland
Maira Tankimanova United Kingdom
Aralee Galway United States
Graeme Scobie United Kingdom
Marı́a José Ramı́rez Spain
G F Saunders United States
Bruna Tedeschi relative to W. M. COURT-BROWN United Kingdom W. M. COURT-BROWN's profile →
Citations per field
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W. M. COURT-BROWN · 1×
Citations per year

Countries citing papers authored by Bruna Tedeschi

Since Specialization
Citations

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

Fields of papers citing papers by Bruna Tedeschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bruna Tedeschi, 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 Bruna Tedeschi Line = papers co-authored together Bruna Tedeschi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199378
2 198358
3 198737
4 199334
5 198829
6 199828
7 199726
8 200326
9 199526
10 199226
11 199624
12 199323
13 198322
14 199522
15 199820
16 200519
17 199015
18 198915
19 200515
20 199112

About Bruna Tedeschi

Bruna Tedeschi is a scholar working on Molecular Biology, Genetics, Cancer Research, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 609 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Genetics and Neurodevelopmental Disorders (9 papers), Carcinogens and Genotoxicity Assessment (8 papers), Genomic variations and chromosomal abnormalities (7 papers), Effects of Radiation Exposure (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Chromosomal and Genetic Variations (5 papers) and Neuroblastoma Research and Treatments (4 papers). The work is most often cited by research in Cancer Research (130 citations), Hematology (77 citations), Genetics (190 citations), Pediatrics, Perinatology and Child Health (103 citations) and Radiology, Nuclear Medicine and Imaging (90 citations). Bruna Tedeschi has collaborated with scholars based in Italy, Poland and Netherlands. Frequent co-authors include Patrizia Vernole, Daniela Caporossi, B. Nicoletti, Angelo Serra, Laura Padovani, Giovanni Neri, F. Mauro, Giovanni Neri, Bruno Dallapiccola and Berardino Porfirio. Their work appears in journals such as Mutation research. Fundamental and molecular mechanisms of mutagenesis, Human Genetics, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis and Clinical Genetics.

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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