Michael K. E. Schäfer

3.9k citations
96 papers · 2.8k · h-index 34

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

    • S100 Proteins and Annexins 17
    • Traumatic Brain Injury and Neurovascular Disturbances 22
    • Neuroinflammation and Neurodegeneration Mechanisms 18
    • Amyotrophic Lateral Sclerosis Research 7

Michael K. E. Schäfer

85 papers receiving 2.8k citations

Peers

Michael K. E. Schäfer
Comparison fields: 5 of 140
  • Developmental Neuroscience 290
  • Neurology 578
  • Neurology 542
  • Cellular and Molecular Neuroscience 508
  • Biological Psychiatry 63
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Citations per year

Countries citing papers authored by Michael K. E. Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Michael K. E. Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014199
2 2012170
3 2010117
4 1995103
5 201987
6 201286
7 199983
8 201368
9 200567
10 201665
11 201662
12 201262
13 200660
14 201458
15 201357
16 201856
17 202255
18 200754
19 201553
20 201751

About Michael K. E. Schäfer

Michael K. E. Schäfer is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 96 papers that have together received 2.8k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (22 papers), Neuroinflammation and Neurodegeneration Mechanisms (18 papers), S100 Proteins and Annexins (17 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Axon Guidance and Neuronal Signaling (7 papers), Pancreatic function and diabetes (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Nerve injury and regeneration (6 papers). The work is most often cited by research in Developmental Neuroscience (290 citations), Neurology (578 citations), Neurology (542 citations), Cellular and Molecular Neuroscience (508 citations) and Biological Psychiatry (63 citations). Michael K. E. Schäfer has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Serge C. Thal, Peter Altevogt, Irmgard Tegeder, Regina Hummel, Kristin Engelhard, Michael Frotscher, Henry Neufeldt, Changsheng Huang, Christoph Stein and W. Amselgruber. Their work appears in journals such as Scientific Reports, Journal of Neurochemistry, PLoS ONE, Journal of Neuroinflammation and Cellular and Molecular Life Sciences.

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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