Diego Bonetti

1.5k citations
34 papers · 1.2k · h-index 19

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 5%
    • Telomeres, Telomerase, and Senescence

Papers in

Diego Bonetti

34 papers receiving 1.2k citations

Peers

Diego Bonetti
Comparison fields: 5 of 69
  • Aging 131
  • Physiology 451
  • Molecular Biology 1.0k
  • Cancer Research 152
  • Oncology 134
Replace Benjamin Pardo with:
Benjamin Pardo France
Sarah Luke-Glaser Germany
Weihang Chai United States
Settapong T Kosiyatrakul United States
Tatsuya Kibe United States
Serge Gravel Canada
Valerio Vitelli Italy
Jean‐Philippe Lainé United States
Simon Amiard France
Rekha Rai United States
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Citations per field
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Citations per year

Countries citing papers authored by Diego Bonetti

Since Specialization
Citations

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

Fields of papers citing papers by Diego Bonetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017230
2 2009113
3 201086
4 201082
5 200971
6 202159
7 201152
8 201551
9 200743
10 201042
11 201241
12 201640
13 201832
14 201630
15 201329
16 201928
17 201220
18 201420
19 201820
20 202017

About Diego Bonetti

Diego Bonetti is a scholar working on Molecular Biology, Physiology, Oncology, Cancer Research and Aging, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (25 papers), Telomeres, Telomerase, and Senescence (15 papers), CRISPR and Genetic Engineering (8 papers), Carcinogens and Genotoxicity Assessment (7 papers), PARP inhibition in cancer therapy (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Animal Genetics and Reproduction (3 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Aging (131 citations), Physiology (451 citations), Molecular Biology (1.0k citations), Cancer Research (152 citations) and Oncology (134 citations). Diego Bonetti has collaborated with scholars based in Italy, Germany and Brazil. Frequent co-authors include Maria Pia Longhese, Michela Clerici, Giovanna Lucchini, Nicola Manfrini, Savani Anbalagan, Brian Luke, Elisa Gobbini, Pascale Jolivet, Maria Teresa Teixeira and Vanessa Kellner. Their work appears in journals such as EMBO Reports, Frontiers in Cell and Developmental Biology, PLoS Genetics, Nature and Nucleic Acids 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.

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