Gabriele Vacun

12 total papers · 548 total citations
10 papers, 434 citations indexed

About

Gabriele Vacun is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Gabriele Vacun has authored 10 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Gabriele Vacun's work include Neuroscience and Neuropharmacology Research (2 papers), Nerve injury and regeneration (2 papers) and Cellular Mechanics and Interactions (2 papers). Gabriele Vacun is often cited by papers focused on Neuroscience and Neuropharmacology Research (2 papers), Nerve injury and regeneration (2 papers) and Cellular Mechanics and Interactions (2 papers). Gabriele Vacun collaborates with scholars based in Germany and Belgium. Gabriele Vacun's co-authors include Ulrike Langheinrich, Thomas E. Wagner, Harald Rösner, Michael Rebhan, Matthias Reuß, Klaus Mauch, Ute Hofmann, Klaus Maier, Klaus Bayreuther and Alexander Bauer and has published in prestigious journals such as Biotechnology and Bioengineering, Neuroreport and Toxicology and Applied Pharmacology.

In The Last Decade

Gabriele Vacun

10 papers receiving 424 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gabriele Vacun 300 134 78 53 50 10 434
Trent A. Waugh 329 1.1× 68 0.5× 136 1.7× 32 0.6× 33 0.7× 8 486
C. N. Lyons 307 1.0× 114 0.9× 54 0.7× 27 0.5× 184 3.7× 10 461
Shiu‐Ying Ho 248 0.8× 181 1.4× 21 0.3× 21 0.4× 46 0.9× 11 456
E. M. Lars Bastiaanse 251 0.8× 88 0.7× 110 1.4× 36 0.7× 71 1.4× 13 430
Pavel Lehky 227 0.8× 62 0.5× 30 0.4× 96 1.8× 35 0.7× 9 401
Pierre Kaldy 202 0.7× 52 0.4× 24 0.3× 42 0.8× 119 2.4× 10 488
Hyun Sub Hwang 264 0.9× 54 0.4× 37 0.5× 32 0.6× 56 1.1× 18 408
MB Burg 296 1.0× 112 0.8× 19 0.2× 24 0.5× 58 1.2× 8 475
T. E. Machen 223 0.7× 51 0.4× 11 0.1× 44 0.8× 33 0.7× 8 383
Maria Füzesi 390 1.3× 41 0.3× 72 0.9× 32 0.6× 44 0.9× 9 459

Countries citing papers authored by Gabriele Vacun

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Vacun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Vacun

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Vacun. A scholar is included among the top collaborators of Gabriele Vacun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriele Vacun. Gabriele Vacun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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