V. Covelli

34 papers receiving 555 citations

Peers

V. Covelli
Comparison fields: 5 of 95
  • Aging 18
  • Radiology, Nuclear Medicine and Imaging 169
  • Environmental Chemistry 64
  • Genetics 50
  • Cancer Research 70
Replace P.C. Gooch with:
P.C. Gooch United States
Andrew R. Snyder United States
Mary Waugh United States
A. Howard United Kingdom
Richard G. Evans United States
S Labaume France
Bernard S. Morse United States
Jennette D. Sison United States
Karin Boman Sweden
Betty O. Reid United States
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Citations per year

Countries citing papers authored by V. Covelli

Since Specialization
Citations

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

Fields of papers citing papers by V. Covelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetic events associated with arsenic-induced malignant transformation: Applications of cDNA microarray technology
200193
2 198958
3 200655
4 200554
5 200854
6 198836
7 199029
8 198427
9 200324
10 197420
11 197318
12
Dose-response relationship of radiation-induced harderian gland tumors and myeloid leukemia of the CBA/Cne mouse.
198618
13 197213
14 199613
15
Radiation-induced mouse liver neoplasms and hepatocyte survival.
198613
16 199112
17 19949
18 19767
19 19916
20
Comparison of 7,12-dimethylbenz(a)anthracene-DNA adduction in the epidermis of two lines of mice selected for resistance (CAR-R) or susceptibility (CAR-S) to skin carcinogenesis.
19946

About V. Covelli

V. Covelli is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology, Genetics and Radiation, having authored 35 papers that have together received 610 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (14 papers), Radiation Therapy and Dosimetry (11 papers), Hedgehog Signaling Pathway Studies (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Advanced Radiotherapy Techniques (2 papers), Gene expression and cancer classification (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Aging (18 citations), Radiology, Nuclear Medicine and Imaging (169 citations), Environmental Chemistry (64 citations), Genetics (50 citations) and Cancer Research (70 citations). V. Covelli has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Simonetta Rebessi, Vincenzo Di Majo, Anna Saran, Simonetta Pazzaglia, M. Coppola, Mariateresa Mancuso, B. Bassani, G Biozzi, G. Silini and Simona Leonardi. Their work appears in journals such as Radiation Research, Current Pharmaceutical Design, Oncogene, Radiation Protection Dosimetry and British Journal of Cancer.

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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