Daniela Barillà

1.5k citations
35 papers · 1.2k · h-index 20

Impact in

Papers in

    • Genomics and Phylogenetic Studies 10
    • DNA Repair Mechanisms 6
    • RNA and protein synthesis mechanisms 6
    • Bacterial Genetics and Biotechnology 27

Daniela Barillà

35 papers receiving 1.2k citations

Peers

Daniela Barillà
Comparison fields: 5 of 73
  • Molecular Medicine 162
  • Genetics 695
  • Endocrinology 88
  • Ecology 359
  • Molecular Biology 901
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Shishen Du United States
David W. Adams Switzerland
Tanja M. Gruber United States
Iain G. Duggin Australia
Marie‐Françoise Noirot‐Gros France
Eric Becker United States
David Bates United States
Florian Altegoer Germany
Kathleen A. Marquis United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Barillà

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Barillà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Barillà, 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 Daniela Barillà Line = papers co-authored together Daniela Barillà 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 2001135
2 2005120
3 2006116
4 200182
5 200374
6
Functional assay for BRCA1: mutagenesis of the COOH-terminal region reveals critical residues for transcription activation.
200074
7 200773
8 199654
9 199443
10 201240
11 201538
12 200336
13 200733
14 200630
15 199927
16 201526
17 200526
18 201225
19 201623
20 200520

About Daniela Barillà

Daniela Barillà is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Plant Science, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (27 papers), Bacteriophages and microbial interactions (15 papers), Genomics and Phylogenetic Studies (10 papers), DNA Repair Mechanisms (6 papers), Antibiotic Resistance in Bacteria (6 papers), RNA and protein synthesis mechanisms (6 papers), Enzyme Structure and Function (3 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Molecular Medicine (162 citations), Genetics (695 citations), Endocrinology (88 citations), Ecology (359 citations) and Molecular Biology (901 citations). Daniela Barillà has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Finbarr Hayes, Barbara A. Lee, Ulf Nobbmann, Mark F. Rosenberg, A. Galizzi, T. Caramori, Alexander P. Golovanov, Lu‐Yun Lian, Charmagne Cayanan and Álvaro N.A. Monteiro. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Nucleic Acids Research and Molecular Microbiology.

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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