Davide Andrenacci

508 citations
23 papers · 377 · h-index 11

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Developmental Biology and Gene Regulation
    • Genomics and Chromatin Dynamics

Papers in

    • Nuclear Structure and Function 6
    • Developmental Biology and Gene Regulation 5
    • RNA Research and Splicing 4
    • CRISPR and Genetic Engineering 3
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3

Davide Andrenacci

23 papers receiving 369 citations

Peers

Davide Andrenacci
Comparison fields: 5 of 61
  • Aging 21
  • Molecular Biology 268
  • Reproductive Medicine 31
  • Cell Biology 47
  • Cellular and Molecular Neuroscience 39
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Citations per field
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Citations per year

Countries citing papers authored by Davide Andrenacci

Since Specialization
Citations

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

Fields of papers citing papers by Davide Andrenacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202151
2 201845
3 201942
4 201931
5 200128
6 200123
7 200623
8 201918
9 202015
10 201315
11 199714
12 200410
13 201610
14 20008
15 20077
16 20057
17 20146
18 20216
19 20205
20 20234

About Davide Andrenacci

Davide Andrenacci is a scholar working on Molecular Biology, Genetics, Cell Biology, Plant Science and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 377 indexed citations. Recurring topics across this work include Nuclear Structure and Function (6 papers), Developmental Biology and Gene Regulation (5 papers), RNA Research and Splicing (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Chromosomal and Genetic Variations (3 papers), CRISPR and Genetic Engineering (3 papers), Hypothalamic control of reproductive hormones (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Aging (21 citations), Molecular Biology (268 citations), Reproductive Medicine (31 citations), Cell Biology (47 citations) and Cellular and Molecular Neuroscience (39 citations). Davide Andrenacci has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Valeria Cavaliere, Giovanna Lattanzi, Giuseppe Gargiulo, Filippo M. Cernilogar, Franco Graziani, Elisabetta Mattioli, Carlo Taddei, Elia Di Schiavi, Cristina Capanni and Elena I. Rugarli. Their work appears in journals such as Cells, Journal of Insect Science, Development Genes and Evolution, Aging Cell and Developmental Dynamics.

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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