Anna De Antoni

3.9k citations
39 papers · 2.7k · h-index 22

Impact in

  • Cell Biology top 0.5%
    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • Ubiquitin and proteasome pathways
    • CRISPR and Genetic Engineering
    • Photosynthetic Processes and Mechanisms

Papers in

    • DNA Repair Mechanisms 4
    • Ubiquitin and proteasome pathways 4
    • Fungal and yeast genetics research 4
    • Genomics and Chromatin Dynamics 4
    • CRISPR and Genetic Engineering 4
    • Microtubule and mitosis dynamics 8
    • Cellular transport and secretion 6

Anna De Antoni

39 papers receiving 2.6k citations

Peers

Anna De Antoni
Comparison fields: 5 of 93
  • Cell Biology 1.4k
  • Molecular Biology 2.0k
  • Virology 123
  • Biological Psychiatry 48
  • Oncology 332
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Anna De Antoni relative to Kenneth Wu United States Kenneth Wu's profile →
Citations per field
00.5×3.6×
Kenneth Wu · 1×
Citations per year

Countries citing papers authored by Anna De Antoni

Since Specialization
Citations

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

Fields of papers citing papers by Anna De Antoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna De Antoni. 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 Anna De Antoni. The network helps show where Anna De Antoni may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005336
2 2017297
3 2002257
4 2011209
5 1997153
6 2017129
7 2006106
8 2014102
9 2014100
10 2008100
11 201291
12 200086
13 199785
14 199783
15 200081
16 200269
17 202258
18 199952
19 200646
20 201738

About Anna De Antoni

Anna De Antoni is a scholar working on Molecular Biology, Cell Biology, Biological Psychiatry, Oncology and Genetics, having authored 39 papers that have together received 2.7k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Tryptophan and brain disorders (8 papers), Cellular transport and secretion (6 papers), DNA Repair Mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers), Fungal and yeast genetics research (4 papers), Genomics and Chromatin Dynamics (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Cell Biology (1.4k citations), Molecular Biology (2.0k citations), Virology (123 citations), Biological Psychiatry (48 citations) and Oncology (332 citations). Anna De Antoni has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Dieter Gallwitz, Marina Mapelli, Lucia Sironi, Stefan Knapp, Vincenzo Sannino, Vincenzo Costanzo, G. Baldi, Hervé Técher, Arun Mouli Kolinjivadi and Kuan‐Teh Jeang. Their work appears in journals such as Molecular Cell, Current Biology, The EMBO Journal, FEBS Letters and Journal of Biological Chemistry.

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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