Davide Comoletti

4.1k citations
56 papers · 3.1k · h-index 29

Impact in

Papers in

Davide Comoletti

55 papers receiving 3.0k citations

Peers

Davide Comoletti
Comparison fields: 5 of 103
  • Cellular and Molecular Neuroscience 1.4k
  • Developmental Neuroscience 229
  • Cell Biology 676
  • Neurology 205
  • Cognitive Neuroscience 486
Replace N. Nadif Kasri with:
N. Nadif Kasri Netherlands
Alaa El‐Husseini Canada
Camin Dean Germany
Konstantin Ichtchenko United States
Scott R. Naisbitt United States
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Citations per field
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Citations per year

Countries citing papers authored by Davide Comoletti

Since Specialization
Citations

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

Fields of papers citing papers by Davide Comoletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005385
2 2009308
3 2019230
4 2012208
5 2004199
6 2005153
7 2007128
8 2015121
9 2006111
10 2003107
11 201679
12 201464
13 200862
14 200757
15 201157
16 200650
17 201448
18 201242
19 201540
20 200439

About Davide Comoletti

Davide Comoletti is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience, Molecular Biology and Pharmacology, having authored 56 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (14 papers), Neuroscience and Neuropharmacology Research (12 papers), Alzheimer's disease research and treatments (9 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Genetics and Neurodevelopmental Disorders (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Protein Structure and Dynamics (6 papers) and Axon Guidance and Neuronal Signaling (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Developmental Neuroscience (229 citations), Cell Biology (676 citations), Neurology (205 citations) and Cognitive Neuroscience (486 citations). Davide Comoletti has collaborated with scholars based in United States, New Zealand and Italy. Frequent co-authors include Palmer Taylor, Thomas C. Südhof, Alexander A. Chubykin, Antony A. Boucard, Jeffrey N. Savas, Joris de Wit, Anirvan Ghosh, Matthew L. O’Sullivan, John R. Yates and Igor F. Tsigelny. Their work appears in journals such as Journal of Biological Chemistry, Structure, Chemico-Biological Interactions, Neuron and Nature Communications.

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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