Michael Rickmann

2.6k citations
37 papers · 2.3k · h-index 20

Impact in

Papers in

Michael Rickmann

37 papers receiving 2.2k citations

Peers

Michael Rickmann
Comparison fields: 5 of 107
  • Developmental Neuroscience 490
  • Cellular and Molecular Neuroscience 1.1k
  • Cell Biology 637
  • Neurology 237
  • Molecular Biology 1.3k
Replace Silvia De Biasi with:
Silvia De Biasi Italy
Sebastian Poliak United States
Karl H. Pfenninger United States
Kohtaro Takei Japan
Pierre Godement France
Pierre Billuart France
Corinna Schneider Switzerland
Angeliki Louvi United States
Douglas L. Falls United States
Robert R. Bernhardt Switzerland
Michael Rickmann relative to Silvia De Biasi Italy Silvia De Biasi's profile →
Citations per field
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Silvia De Biasi · 1×
Citations per year

Countries citing papers authored by Michael Rickmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rickmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985378
2 1998363
3 1993323
4 1987214
5 1977180
6 1995123
7 200198
8 197955
9 201151
10 200848
11
Distribution of Bergmann glial somata and processes: implications for function.
199547
12 201743
13 199539
14 199834
15 200733
16 199527
17 198225
18 199525
19 200622
20 198620

About Michael Rickmann

Michael Rickmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience and Neurology, having authored 37 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), S100 Proteins and Annexins (5 papers), Cellular transport and secretion (5 papers), Ion channel regulation and function (4 papers), Retinal Development and Disorders (4 papers), Axon Guidance and Neuronal Signaling (3 papers) and Point processes and geometric inequalities (2 papers). The work is most often cited by research in Developmental Neuroscience (490 citations), Cellular and Molecular Neuroscience (1.1k citations), Cell Biology (637 citations), Neurology (237 citations) and Molecular Biology (1.3k citations). Michael Rickmann has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Roger J. Keynes, James W. Fawcett, Joachim Wolff, J. R. Wolff, William Cowan, David G. Amaral, Thomas C. Südhof, Bibie M. Chronwall, Iris Augustin and Nils Brose. Their work appears in journals such as Cell and Tissue Research, Neuroscience, European Journal of Neuroscience, Advances in anatomy, embryology and cell biology and International Journal of Developmental Neuroscience.

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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