Rainer Akkermann

20 total papers · 586 total citations
14 papers, 438 citations indexed

About

Rainer Akkermann is a scholar working on Developmental Neuroscience, Neurology and Immunology. According to data from OpenAlex, Rainer Akkermann has authored 14 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Developmental Neuroscience, 6 papers in Neurology and 6 papers in Immunology. Recurrent topics in Rainer Akkermann's work include Neurogenesis and neuroplasticity mechanisms (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and MicroRNA in disease regulation (4 papers). Rainer Akkermann is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and MicroRNA in disease regulation (4 papers). Rainer Akkermann collaborates with scholars based in Germany, Australia and Canada. Rainer Akkermann's co-authors include Patrick Küry, Shannon E. Dunn, Andrzej Chruscinski, Monan Angela Zhang, Alexandre Prat, HoangKim Nguyen, Lawrence Steinman, Hania Kébir, Frank Z. Stanczyk and Ranjan Dutta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and International Journal of Molecular Sciences.

In The Last Decade

Rainer Akkermann

14 papers receiving 434 citations

Author Peers

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

Author Last Decade Papers Cites
Rainer Akkermann 175 131 111 77 73 14 438
Karelle Bénardais 95 0.5× 122 0.9× 128 1.2× 167 2.2× 95 1.3× 16 462
Beatriz Valle‐Argos 114 0.7× 150 1.1× 73 0.7× 126 1.6× 51 0.7× 20 433
Emily Ren 110 0.6× 142 1.1× 106 1.0× 176 2.3× 79 1.1× 11 432
Helena Slaets 181 1.0× 139 1.1× 65 0.6× 126 1.6× 72 1.0× 17 477
Pernille M. Madsen 166 0.9× 132 1.0× 103 0.9× 208 2.7× 109 1.5× 10 422
G. Coppolino 109 0.6× 119 0.9× 65 0.6× 45 0.6× 45 0.6× 18 413
Daniel Chesik 61 0.3× 132 1.0× 105 0.9× 94 1.2× 86 1.2× 20 440
Brian M. Lozinski 105 0.6× 124 0.9× 71 0.6× 171 2.2× 104 1.4× 17 404
Andrew Lapato 151 0.9× 120 0.9× 41 0.4× 172 2.2× 61 0.8× 12 402
Esther Zeinstra 127 0.7× 112 0.9× 71 0.6× 198 2.6× 128 1.8× 13 453

Countries citing papers authored by Rainer Akkermann

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Akkermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Akkermann

This figure shows the co-authorship network connecting the top 25 collaborators of Rainer Akkermann. A scholar is included among the top collaborators of Rainer Akkermann 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 Rainer Akkermann. Rainer Akkermann 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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