Lukas C. Bachmann

1.1k total citations
8 papers, 754 citations indexed

About

Lukas C. Bachmann is a scholar working on Neurology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lukas C. Bachmann has authored 8 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Pathology and Forensic Medicine and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lukas C. Bachmann's work include Transcranial Magnetic Stimulation Studies (4 papers), Spinal Cord Injury Research (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Lukas C. Bachmann is often cited by papers focused on Transcranial Magnetic Stimulation Studies (4 papers), Spinal Cord Injury Research (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Lukas C. Bachmann collaborates with scholars based in Switzerland, Austria and Italy. Lukas C. Bachmann's co-authors include Martin E. Schwab, Miriam Gullo, Ueli Suter, Michelle L. Starkey, Michael N. Hall, Frédéric Lebrun-Julien, Martin Trötzmüller, Harald Köfeler, Camilla Norrmén and Nicolas Good and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Lukas C. Bachmann

8 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lukas C. Bachmann Switzerland 8 271 256 220 209 197 8 754
Teresa A. Evans United States 9 184 0.7× 181 0.7× 114 0.5× 150 0.7× 156 0.8× 13 584
Peter Jukkola United States 15 300 1.1× 155 0.6× 152 0.7× 80 0.4× 248 1.3× 20 696
Visar Belegu United States 14 254 0.9× 78 0.3× 178 0.8× 238 1.1× 144 0.7× 22 741
Laila Zai United States 11 286 1.1× 132 0.5× 243 1.1× 309 1.5× 94 0.5× 17 659
Yevgeniya A. Mironova United States 14 549 2.0× 220 0.9× 350 1.6× 140 0.7× 378 1.9× 17 1.1k
Victor L. Arvanian United States 17 518 1.9× 161 0.6× 195 0.9× 484 2.3× 130 0.7× 26 824
S. Houtman Netherlands 9 268 1.0× 247 1.0× 82 0.4× 91 0.4× 268 1.4× 16 729
Angela R. Filous United States 8 545 2.0× 213 0.8× 313 1.4× 306 1.5× 225 1.1× 11 924
Brian Snyder United States 12 204 0.8× 282 1.1× 178 0.8× 89 0.4× 261 1.3× 18 956
Ilse Sears‐Kraxberger United States 8 602 2.2× 152 0.6× 381 1.7× 297 1.4× 381 1.9× 8 1.0k

Countries citing papers authored by Lukas C. Bachmann

Since Specialization
Citations

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

Fields of papers citing papers by Lukas C. Bachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lukas C. Bachmann. 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 Lukas C. Bachmann. The network helps show where Lukas C. Bachmann may publish in the future.

Co-authorship network of co-authors of Lukas C. Bachmann

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

All Works

8 of 8 papers shown
1.
Amin, Neal D., Jeffrey D. Moore, Lukas C. Bachmann, et al.. (2021). Conserved genetic signatures parcellate cardinal spinal neuron classes into local and projection subsets. Science. 372(6540). 385–393. 54 indexed citations
2.
Bachmann, Lukas C., et al.. (2014). Sprouting of Brainstem–Spinal Tracts in Response to Unilateral Motor Cortex Stroke in Mice. Journal of Neuroscience. 34(9). 3378–3389. 59 indexed citations
3.
Zörner, Björn, Lukas C. Bachmann, Linard Filli, et al.. (2014). Chasing central nervous system plasticity: the brainstem’s contribution to locomotor recovery in rats with spinal cord injury. Brain. 137(6). 1716–1732. 99 indexed citations
4.
Lebrun-Julien, Frédéric, Lukas C. Bachmann, Camilla Norrmén, et al.. (2014). Balanced mTORC1 Activity in Oligodendrocytes Is Required for Accurate CNS Myelination. Journal of Neuroscience. 34(25). 8432–8448. 155 indexed citations
5.
Gullo, Miriam, et al.. (2013). Rewiring of the corticospinal tract in the adult rat after unilateral stroke and anti-Nogo-A therapy. Brain. 137(3). 739–756. 136 indexed citations
6.
Bachmann, Lukas C., et al.. (2013). Deep Brain Stimulation of the Midbrain Locomotor Region Improves Paretic Hindlimb Function After Spinal Cord Injury in Rats. Science Translational Medicine. 5(208). 208ra146–208ra146. 89 indexed citations
7.
Petrinovic, Marija M., Raphaël Hourez, David Gall, et al.. (2012). Neuronal Nogo-A negatively regulates dendritic morphology and synaptic transmission in the cerebellum. Proceedings of the National Academy of Sciences. 110(3). 1083–1088. 54 indexed citations
8.
Porcheri, Cristina, Thomas Mueggler, Lukas C. Bachmann, et al.. (2011). Genetically Induced Adult Oligodendrocyte Cell Death Is Associated with Poor Myelin Clearance, Reduced Remyelination, and Axonal Damage. Journal of Neuroscience. 31(3). 1069–1080. 108 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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