Gianluca Cestra

1.9k citations
29 papers · 1.5k · h-index 20

Impact in

Papers in

    • RNA Research and Splicing 4
    • Cellular transport and secretion 7
    • Skin and Cellular Biology Research 3
    • Microtubule and mitosis dynamics 2

Gianluca Cestra

29 papers receiving 1.5k citations

Peers

Gianluca Cestra
Comparison fields: 5 of 106
  • Cell Biology 622
  • Immunology and Allergy 204
  • Genetics 150
  • Molecular Biology 950
  • Neurology 191
Replace Christoph S. Clemen with:
Christoph S. Clemen Germany
Karin Ridderstråle United States
Le­onardo Almeida-Souza Belgium
Liza Zokas United States
Won‐Jing Wang Taiwan
Andrew R. Thompson United States
Åsa Fransson Sweden
Ed Manser Singapore
James R. Edgar United Kingdom
Nathalie Lamarche‐Vane Canada
Gianluca Cestra relative to Christoph S. Clemen Germany Christoph S. Clemen's profile →
Citations per field
00.5×1.5×2.5×
Christoph S. Clemen · 1×
Citations per year

Countries citing papers authored by Gianluca Cestra

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Cestra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002386
2 2003139
3 2012129
4 1999103
5 201594
6 200582
7 200582
8 200075
9 200947
10 202039
11 201728
12 201428
13 199927
14 202026
15 201625
16 201525
17 201725
18 200522
19 201821
20 202019

About Gianluca Cestra

Gianluca Cestra is a scholar working on Molecular Biology, Cell Biology, Neurology, Genetics and Genetics, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (9 papers), Neurogenetic and Muscular Disorders Research (8 papers), Cellular transport and secretion (7 papers), RNA Research and Splicing (4 papers), Skin and Cellular Biology Research (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Cell Biology (622 citations), Immunology and Allergy (204 citations), Genetics (150 citations), Molecular Biology (950 citations) and Neurology (191 citations). Gianluca Cestra has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Pietro De Camilli, Sunghoe Chang, Lorenzo Pellegrini, Markus R. Wenk, Gilbert Di Paolo, Roberto Zoncu, Krešimir Letinić, Jun Guo, Gianni Cesareni and Derek Toomre. Their work appears in journals such as Cell Death and Disease, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Developmental Cell and SpringerPlus.

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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