Michael K. E. Schäfer

3.9k total citations
96 papers, 2.8k citations indexed

About

Michael K. E. Schäfer is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael K. E. Schäfer has authored 96 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 29 papers in Neurology and 22 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael K. E. Schäfer's work include Traumatic Brain Injury and Neurovascular Disturbances (22 papers), Neuroinflammation and Neurodegeneration Mechanisms (18 papers) and S100 Proteins and Annexins (17 papers). Michael K. E. Schäfer is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (22 papers), Neuroinflammation and Neurodegeneration Mechanisms (18 papers) and S100 Proteins and Annexins (17 papers). Michael K. E. Schäfer collaborates with scholars based in Germany, United States and China. Michael K. E. Schäfer's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Applied Physics Letters.

In The Last Decade

Michael K. E. Schäfer

85 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael K. E. Schäfer Germany 34 1.1k 578 542 508 395 96 2.8k
Petr Tvrdík United States 25 1.1k 1.0× 492 0.9× 331 0.6× 440 0.9× 436 1.1× 65 2.7k
Michael M. Wang United States 27 1.1k 1.0× 419 0.7× 446 0.8× 419 0.8× 221 0.6× 91 2.9k
Boris Sabirzhanov United States 24 830 0.8× 560 1.0× 438 0.8× 318 0.6× 254 0.6× 39 2.2k
Julie A. Ellison United States 18 1.2k 1.1× 785 1.4× 232 0.4× 658 1.3× 395 1.0× 24 2.9k
Jinte Middeldorp Netherlands 22 1.2k 1.1× 1.0k 1.8× 311 0.6× 601 1.2× 878 2.2× 39 3.1k
Mark D. Habgood Australia 32 878 0.8× 977 1.7× 483 0.9× 656 1.3× 252 0.6× 69 3.1k
Claire L. Gibson United Kingdom 28 746 0.7× 913 1.6× 385 0.7× 508 1.0× 376 1.0× 77 2.9k
C. Joakim Ek Sweden 35 816 0.7× 998 1.7× 383 0.7× 537 1.1× 190 0.5× 75 3.1k
Jeroen Geurts Netherlands 26 832 0.8× 572 1.0× 377 0.7× 176 0.3× 262 0.7× 71 3.1k
Hirokazu Ohtaki Japan 31 1.1k 1.0× 741 1.3× 293 0.5× 1.2k 2.4× 380 1.0× 100 3.2k

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-authorship network of co-authors of Michael K. E. Schäfer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael K. E. Schäfer. A scholar is included among the top collaborators of Michael K. E. Schäfer 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 Michael K. E. Schäfer. Michael K. E. Schäfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Wang, Yong, Emilia Papakonstantinou, Pawit Somnuke, et al.. (2025). CSF1R and IL1R1 inhibitors synergistically attenuate the early pathogenesis of traumatic brain injury in mice. Neurotherapeutics. 23(1). e00787–e00787.
3.
Hummel, Regina, et al.. (2025). Protease-activated receptor 4 deficiency increases mortality, intracranial bleeding, and blood-brain barrier impairment following traumatic brain injury in mice. Research and Practice in Thrombosis and Haemostasis. 9(8). 103238–103238.
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Singh, Katyayani, Mohan Jayaram, Toomas Jagomäe, et al.. (2024). The IgLON family of cell adhesion molecules expressed in developing neural circuits ensure the proper functioning of the sensory system in mice. Scientific Reports. 14(1). 22593–22593.
6.
Ziebart, Alexander, et al.. (2024). Nebulized Lipopolysaccharide Causes Delayed Cortical Neuroinflammation in a Murine Model of Acute Lung Injury. International Journal of Molecular Sciences. 25(18). 10117–10117. 1 indexed citations
7.
Hummel, Regina, et al.. (2024). Selective neuronal expression of progranulin is sufficient to provide neuroprotective and anti-inflammatory effects after traumatic brain injury. Journal of Neuroinflammation. 21(1). 257–257. 7 indexed citations
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Vetter, Diana, et al.. (2023). Pre-traumatic antibiotic-induced microbial depletion reduces neuroinflammation in acute murine traumatic brain injury. Neuropharmacology. 237. 109648–109648. 13 indexed citations
10.
Zheng, Fang, Tanja Schirmeister, Albert Braeuning, et al.. (2022). Analysis of hyperforin (St. John’s wort) action at TRPC6 channel leads to the development of a new class of antidepressant drugs. Molecular Psychiatry. 27(12). 5070–5085. 16 indexed citations
11.
Jayaram, Mohan, Toomas Jagomäe, Katyayani Singh, et al.. (2022). Depression-Associated Negr1 Gene-Deficiency Induces Alterations in the Monoaminergic Neurotransmission Enhancing Time-Dependent Sensitization to Amphetamine in Male Mice. Brain Sciences. 12(12). 1696–1696. 6 indexed citations
12.
Lilleväli, Kersti, Kalle Kilk, Toomas Jagomäe, et al.. (2021). High-Fat Diet Induces Pre-Diabetes and Distinct Sex-Specific Metabolic Alterations in Negr1-Deficient Mice. Biomedicines. 9(9). 1148–1148. 11 indexed citations
13.
Ziebart, Alexander, Robert Ruemmler, Regina Hummel, et al.. (2021). Effect of fluid resuscitation on cerebral integrity. European Journal of Anaesthesiology. 38(4). 411–421.
14.
Singh, Katyayani, Mohan Jayaram, Este Leidmaa, et al.. (2019). Neural cell adhesion molecule Negr1 deficiency in mouse results in structural brain endophenotypes and behavioral deviations related to psychiatric disorders. Scientific Reports. 9(1). 5457–5457. 46 indexed citations
15.
Poplawski, Gunnar, Richard Lie, Matthew A. Hunt, et al.. (2018). Adult rat myelin enhances axonal outgrowth from neural stem cells. Science Translational Medicine. 10(442). 31 indexed citations
16.
Engelhard, Kristin, et al.. (2018). PAI-1 but Not PAI-2 Gene Deficiency Attenuates Ischemic Brain Injury After Experimental Stroke. Translational Stroke Research. 10(4). 372–380. 33 indexed citations
17.
Singh, Katyayani, Desirée Loreth, Jürgen Innos, et al.. (2018). Neuronal Growth and Behavioral Alterations in Mice Deficient for the Psychiatric Disease-Associated Negr1 Gene. Frontiers in Molecular Neuroscience. 11. 30–30. 43 indexed citations
18.
Schäfer, Michael K. E., et al.. (2014). Regulators of mitochondrial Ca2+ homeostasis in cerebral ischemia. Cell and Tissue Research. 357(2). 395–405. 39 indexed citations
19.
Schäfer, Michael K. E., Anice Moumen, Elisabeth Bouché, et al.. (2010). L1 syndrome mutations impair neuronal L1 function at different levels by divergent mechanisms. Neurobiology of Disease. 40(1). 222–237. 33 indexed citations
20.
Rediger, Anne, Patrick Tarnow, Annette Grüters, et al.. (2009). Functional relevance of MC3R and GHSR heterodimerization in hypothalamic weight regulation. 1 indexed citations

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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