T. Michaelis

2.1k total citations
25 papers, 1.7k citations indexed

About

T. Michaelis is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Spectroscopy. According to data from OpenAlex, T. Michaelis has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Spectroscopy. Recurrent topics in T. Michaelis's work include Advanced MRI Techniques and Applications (13 papers), Advanced NMR Techniques and Applications (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). T. Michaelis is often cited by papers focused on Advanced MRI Techniques and Applications (13 papers), Advanced NMR Techniques and Applications (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). T. Michaelis collaborates with scholars based in Germany, United States and Australia. T. Michaelis's co-authors include Jens Frahm, K. D. Merboldt, Harald Bruhn, Wolfgang Hänicke, Brian D. Ross, Takashi Watanabe, E. Fuchs, Oliver Natt, John S. Videen and Michael L. Gyngell and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Brain.

In The Last Decade

T. Michaelis

25 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Michaelis Germany 17 919 357 281 260 205 25 1.7k
Lijing Xin Switzerland 28 1.1k 1.2× 399 1.1× 486 1.7× 505 1.9× 464 2.3× 92 2.2k
Napapon Sailasuta United States 29 1.3k 1.4× 472 1.3× 386 1.4× 625 2.4× 271 1.3× 66 3.3k
Annette van der Toorn Netherlands 28 990 1.1× 277 0.8× 238 0.8× 113 0.4× 361 1.8× 68 2.2k
Fawzi Boumezbeur France 20 556 0.6× 305 0.9× 276 1.0× 194 0.7× 239 1.2× 54 1.3k
Chris Hanstock Canada 17 666 0.7× 193 0.5× 298 1.1× 188 0.7× 166 0.8× 28 1.3k
Melissa Terpstra United States 27 1.3k 1.4× 397 1.1× 328 1.2× 533 2.0× 312 1.5× 43 2.1k
Jannie P. Wijnen Netherlands 23 1.1k 1.2× 246 0.7× 260 0.9× 408 1.6× 328 1.6× 68 1.7k
Hongxia Lei Switzerland 21 546 0.6× 386 1.1× 402 1.4× 236 0.9× 145 0.7× 50 1.5k
Raymond F. Deicken United States 26 682 0.7× 277 0.8× 297 1.1× 126 0.5× 507 2.5× 43 1.8k
Morris H. Baslow United States 21 683 0.7× 552 1.5× 419 1.5× 152 0.6× 233 1.1× 56 1.7k

Countries citing papers authored by T. Michaelis

Since Specialization
Citations

This map shows the geographic impact of T. Michaelis'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 T. Michaelis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Michaelis more than expected).

Fields of papers citing papers by T. Michaelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Michaelis

This figure shows the co-authorship network connecting the top 25 collaborators of T. Michaelis. A scholar is included among the top collaborators of T. Michaelis 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 T. Michaelis. T. Michaelis 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
1.
Michaelis, T., Cecilia S. Lindestam Arlehamn, April Frazier, et al.. (2025). Autoimmune response to C9orf72 protein in amyotrophic lateral sclerosis. Nature. 647(8091). 970–978. 1 indexed citations
2.
Williams, Gregory P., T. Michaelis, April Frazier, et al.. (2024). PINK1 is a target of T cell responses in Parkinson’s disease. Journal of Clinical Investigation. 135(4). 9 indexed citations
3.
4.
Michaelis, T., Susann Boretius, & Jens Frahm. (2008). Localized proton MRS of animal brain in vivo: Models of human disorders. Progress in Nuclear Magnetic Resonance Spectroscopy. 55(1). 1–34. 19 indexed citations
5.
Nessler, Sylvie, Susann Boretius, Christine Stadelmann, et al.. (2007). Early MRI changes in a mouse model of multiple sclerosis are predictive of severe inflammatory tissue damage. Brain. 130(8). 2186–2198. 39 indexed citations
6.
Tammer, Roland, et al.. (2005). Compatibility of glass-guided recording microelectrodes in the brain stem of squirrel monkeys with high-resolution 3D MRI. Journal of Neuroscience Methods. 153(2). 221–229. 8 indexed citations
7.
Boretius, Susann, Oliver Natt, Takashi Watanabe, et al.. (2004). In vivo diffusion tensor mapping of the brain of squirrel monkey, rat, and mouse using single-shot STEAM MRI. Magnetic Resonance Materials in Physics Biology and Medicine. 17(3-6). 339–347. 12 indexed citations
8.
Natt, Oliver, Takashi Watanabe, Susann Boretius, Jens Frahm, & T. Michaelis. (2003). Magnetization transfer MRI of mouse brain reveals areas of high neural density. Magnetic Resonance Imaging. 21(10). 1113–1120. 29 indexed citations
9.
Fuchs, E., Boldizsár Czéh, T. Michaelis, et al.. (2002). Synaptic plasticity and tianeptine: structural regulation. European Psychiatry. 17(S3). 311s–317s. 20 indexed citations
10.
Hart, Marieke G. C. van der, Boldizsár Czéh, Gabriel de Biurrun, et al.. (2002). Substance P receptor antagonist and clomipramine prevent stress-induced alterations in cerebral metabolites, cytogenesis in the dentate gyrus and hippocampal volume. Molecular Psychiatry. 7(9). 933–941. 135 indexed citations
11.
Natt, Oliver, Takashi Watanabe, Susann Boretius, et al.. (2002). High-resolution 3D MRI of mouse brain reveals small cerebral structures in vivo. Journal of Neuroscience Methods. 120(2). 203–209. 98 indexed citations
12.
13.
Ohl, Frauke, et al.. (1999). Volumetric MRI measurements of the tree shrew hippocampus. Journal of Neuroscience Methods. 88(2). 189–193. 17 indexed citations
14.
Videen, John S., et al.. (1995). Human cerebral osmolytes during chronic hyponatremia. A proton magnetic resonance spectroscopy study.. Journal of Clinical Investigation. 95(2). 788–793. 153 indexed citations
15.
Danielsen, Else Rubæk, T. Michaelis, & Brian D. Ross. (1995). Three Methods of Calibration in Quantitative Proton MR Spectroscopy. Journal of Magnetic Resonance Series B. 106(3). 287–291. 53 indexed citations
16.
Michaelis, T., K. D. Merboldt, Harald Bruhn, Wolfgang Hänicke, & Jens Frahm. (1993). Absolute concentrations of metabolites in the adult human brain in vivo: quantification of localized proton MR spectra.. Radiology. 187(1). 219–227. 490 indexed citations
17.
Bruhn, Harald, T. Michaelis, K. D. Merboldt, et al.. (1992). On the interpretation of proton NMR spectra from brain tumours in vivo and in vitro. NMR in Biomedicine. 5(5). 253–258. 35 indexed citations
18.
Gyngell, Michael L., Jutta Ellermann, T. Michaelis, et al.. (1991). Non‐invasive 1H NMR spectroscopy of the rat brain In Vivo using a short echo time STEAM localization sequence. NMR in Biomedicine. 4(3). 150–156. 24 indexed citations
19.
Gyngell, Michael L., T. Michaelis, Harald Bruhn, et al.. (1991). Cerebral glucose is detectable by localized proton NMR spectroscopy in normal rat brain in Vivo. Magnetic Resonance in Medicine. 19(2). 489–495. 25 indexed citations
20.
Michaelis, T.. (1979). Laser Diode Evaluation for Optical Analog Link. CATV-4(1). 30–42. 7 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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