Gabriele Loers

101 total papers · 3.2k total citations
92 papers, 2.7k citations indexed

About

Gabriele Loers is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Gabriele Loers has authored 92 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cellular and Molecular Neuroscience, 45 papers in Molecular Biology and 31 papers in Developmental Neuroscience. Recurrent topics in Gabriele Loers's work include Neurogenesis and neuroplasticity mechanisms (31 papers), Nerve injury and regeneration (30 papers) and Axon Guidance and Neuronal Signaling (11 papers). Gabriele Loers is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (31 papers), Nerve injury and regeneration (30 papers) and Axon Guidance and Neuronal Signaling (11 papers). Gabriele Loers collaborates with scholars based in Germany, United States and China. Gabriele Loers's co-authors include Melitta Schachner, Ralf Kleene, Melitta Schachner, Friedrich Buck, Igor Jakovčevski, David Lutz, Andrey Irintchev, Shiwei Wang, Fabio Benfenati and Michaela Schweizer and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Gabriele Loers

90 papers receiving 2.7k 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 Loers 1.3k 978 604 359 343 92 2.7k
Philippe P. Monnier 1.2k 0.9× 1.2k 1.3× 587 1.0× 426 1.2× 249 0.7× 115 3.4k
Johannes Vogt 1.3k 1.0× 547 0.6× 714 1.2× 312 0.9× 340 1.0× 46 2.6k
Yang Hu 2.3k 1.7× 1.5k 1.5× 740 1.2× 510 1.4× 276 0.8× 128 4.4k
Peter Bannerman 1.3k 0.9× 1.1k 1.1× 716 1.2× 183 0.5× 529 1.5× 67 2.8k
Andrew Wood 1.4k 1.0× 756 0.8× 405 0.7× 629 1.8× 224 0.7× 50 2.8k
Jeffrey A. Loeb 1.6k 1.2× 1.8k 1.8× 432 0.7× 358 1.0× 272 0.8× 113 4.4k
Theo Mantamadiotis 1.8k 1.3× 853 0.9× 290 0.5× 224 0.6× 258 0.8× 85 3.4k
N.V. Tomilin 2.0k 1.5× 919 0.9× 529 0.9× 724 2.0× 280 0.8× 62 3.2k
George Zanazzi 1.1k 0.8× 1.2k 1.2× 558 0.9× 520 1.4× 168 0.5× 50 3.0k
Pei‐Hua Lu 2.0k 1.5× 833 0.9× 628 1.0× 279 0.8× 337 1.0× 137 4.3k

Countries citing papers authored by Gabriele Loers

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Loers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Loers

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Loers. A scholar is included among the top collaborators of Gabriele Loers 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 Loers. Gabriele Loers 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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2026