Rafaele Matteoni

1.8k citations
22 papers · 1.2k · h-index 14

Impact in

  • Physiology top 2%
    • Calcium signaling and nucleotide metabolism
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics

Papers in

Rafaele Matteoni

22 papers receiving 1.2k citations

Peers

Rafaele Matteoni
Comparison fields: 5 of 92
  • Physiology 143
  • Cell Biology 485
  • Cellular and Molecular Neuroscience 245
  • Developmental Neuroscience 46
  • Molecular Biology 738
Replace Véronique Proux‐Gillardeaux with:
Véronique Proux‐Gillardeaux France
Claudia Schirra Germany
Diego Peretti United Kingdom
Fabrizio Vacca Italy
Joachim Kremerskothen Germany
Zhongzhen Nie United States
Richard H. Scheller United States
Nancy J. Grant France
Marta Starcevic United States
Maria Doitsidou United States
Rafaele Matteoni relative to Véronique Proux‐Gillardeaux France Véronique Proux‐Gillardeaux's profile →
Citations per field
00.5×1.5×
Véronique Proux‐Gillardeaux · 1×
Citations per year

Countries citing papers authored by Rafaele Matteoni

Since Specialization
Citations

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

Fields of papers citing papers by Rafaele Matteoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987437
2 1990141
3 200798
4 200479
5 199760
6 199852
7 201350
8 199043
9
Secretory granules and endosomes show saltatory movement biased to the anterograde and retrograde directions, respectively, along microtubules in AtT20 cells.
198940
10 200939
11 201334
12 201124
13 201622
14 201521
15 202012
16 201812
17 200911
18 19889
19 20016
20 20235

About Rafaele Matteoni

Rafaele Matteoni is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Physiology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Hedgehog Signaling Pathway Studies (5 papers), Cellular transport and secretion (4 papers), Microtubule and mitosis dynamics (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Physiology (143 citations), Cell Biology (485 citations), Cellular and Molecular Neuroscience (245 citations), Developmental Neuroscience (46 citations) and Molecular Biology (738 citations). Rafaele Matteoni has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include T E Kreis, Daniela Marazziti, Glauco P. Tocchini‐Valentini, Elisabetta Golini, Silvia Mandillo, Chiara Di Pietro, Bernard Hoflack, Gareth Griffiths, Angela Gallo and Gina La Sala. Their work appears in journals such as The FASEB Journal, Proceedings of the National Academy of Sciences, Journal of Cell Science, Genomics and Mammalian Genome.

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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