V. Fontana

1.2k citations
33 papers · 857 · h-index 16

Impact in

  • Hepatology top 10%
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis C virus research
    • Bacterial Identification and Susceptibility Testing

Papers in

V. Fontana

31 papers receiving 785 citations

Peers

V. Fontana
Comparison fields: 5 of 110
  • Hepatology 101
  • Clinical Biochemistry 79
  • Oncology 254
  • Hematology 97
  • Internal Medicine 24
Replace E. Bertoni with:
E. Bertoni Italy
A. Myron Johnson United States
Nicholas J. Feduska United States
Piotr Kaliciński Poland
Min-Ju Kim South Korea
Vincent F. Guinee United States
Alain Wynckel France
Barry Wenz United States
Malcolm L. Brigden Canada
Kuo‐Hsiung Shu Taiwan
V. Fontana relative to E. Bertoni Italy E. Bertoni's profile →
Citations per field
00.5×2.7×
E. Bertoni · 1×
Citations per year

Countries citing papers authored by V. Fontana

Since Specialization
Citations

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

Fields of papers citing papers by V. Fontana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007193
2 1970152
3 200866
4 200857
5 199654
6 200538
7 199438
8 200233
9
Bcl2, p53 and clinical outcome in a series of 138 operable breast cancer patients.
200027
10
Early effects of low benzene exposure on blood cell counts in Bulgarian petrochemical workers.
200925
11 201924
12 199722
13 200317
14 199817
15 200617
16 200016
17 201715
18 20046
19 19946
20 19966

About V. Fontana

V. Fontana is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Surgery and Epidemiology, having authored 33 papers that have together received 857 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (3 papers), Occupational and environmental lung diseases (3 papers), Pleural and Pulmonary Diseases (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Air Quality and Health Impacts (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Hepatology (101 citations), Clinical Biochemistry (79 citations), Oncology (254 citations), Hematology (97 citations) and Internal Medicine (24 citations). V. Fontana has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include W. Szmuness, A. M. Prince, G. H. Jeffries, C. E. Cherubin, Lawrence L. Horstman, Yeon S. Ahn, Wenche Jy, Andrea DeCensi, Stefano Parodi and A. Costa. Their work appears in journals such as British Journal of Cancer, European Journal of Cancer, Scandinavian Journal of Work Environment & Health, Annals of Oncology and Journal of Clinical 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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