Silvia Bacchetti

16.3k citations
105 papers · 12.9k indexed · 7 hit papers · h-index 45

Impact in

  • Aging top 0.1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 0.05%
    • Telomeres, Telomerase, and Senescence

Papers in

Silvia Bacchetti

105 papers receiving 12.3k citations

Hit Papers

A survey of telomerase activity in human cancer 1997 · 2.3k citations
2.3k199220262003201450010001.5k2.0k

Peers

Silvia Bacchetti
Comparison fields: 5 of 131
  • Aging 880
  • Physiology 8.2k
  • Biotechnology 1.6k
  • Molecular Biology 7.6k
  • Genetics 2.2k
Replace Kathleen Collins with:
Kathleen Collins United States
David Kipling United Kingdom
Aloysius J. Klingelhutz United States
Yasuhiro Furuichi Japan
Paul M. Lieberman United States
Karen O’Rourke United States
Sylvie Robine France
John W. Littlefield United States
Dominique Belin Switzerland
Bořivoj Vojtěšek Czechia
Silvia Bacchetti relative to Kathleen Collins United States Kathleen Collins's profile →
Citations per field
00.5×4.1×
Kathleen Collins · 1×
Citations per year

Countries citing papers authored by Silvia Bacchetti

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Bacchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201318
2 201229
3 20114
4 20074
5 200329
6 20017
7 200177
8 2000124
9 199969
10 199826
11 199832
12 199761
13 19976
14
A survey of telomerase activity in human cancer
Hit paper breakdown →
19972255
15 199626
16 199665
17 199118
18 198947
19 19889
20 198860

About Silvia Bacchetti

Silvia Bacchetti is a scholar working on Aging, Physiology, Genetics, Molecular Biology and Pollution, having authored 105 papers that have together received 12.9k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (34 papers), Virus-based gene therapy research (28 papers), Herpesvirus Infections and Treatments (20 papers), Viral Infectious Diseases and Gene Expression in Insects (16 papers), DNA Repair Mechanisms (12 papers), CRISPR and Genetic Engineering (8 papers), RNA Interference and Gene Delivery (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Aging (880 citations), Physiology (8.2k citations), Biotechnology (1.6k citations), Molecular Biology (7.6k citations) and Genetics (2.2k citations). Silvia Bacchetti has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Jerry W. Shay, Christopher M. Counter, Calvin B. Harley, Carol W. Greider, Nancy Stewart, Ariel A. Avilion, Roger R. Reddel, Tracy M. Bryan, Frank L. Graham and Jeena Gupta. Their work appears in journals such as Journal of Virology, Virology, Molecular and Cellular Biology, Radiation Research and Oncogene.

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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