Markus Rothermel

1.2k total citations
38 papers, 847 citations indexed

About

Markus Rothermel is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Markus Rothermel has authored 38 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Sensory Systems, 22 papers in Cellular and Molecular Neuroscience and 12 papers in Nutrition and Dietetics. Recurrent topics in Markus Rothermel's work include Olfactory and Sensory Function Studies (23 papers), Neurobiology and Insect Physiology Research (13 papers) and Biochemical Analysis and Sensing Techniques (12 papers). Markus Rothermel is often cited by papers focused on Olfactory and Sensory Function Studies (23 papers), Neurobiology and Insect Physiology Research (13 papers) and Biochemical Analysis and Sensing Techniques (12 papers). Markus Rothermel collaborates with scholars based in Germany, United States and Netherlands. Markus Rothermel's co-authors include Matt Wachowiak, Daniela Brunert, Michael T. Shipley, Adam C. Puché, Michael N. Economo, John A. White, Hanns Hatt, Ryan M. Carey, Daniel W. Wesson and Christian H. Wetzel and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Markus Rothermel

36 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Rothermel Germany 17 488 437 218 161 156 38 847
Anan Li China 18 397 0.8× 446 1.0× 214 1.0× 170 1.1× 102 0.7× 52 769
Jennifer D. Whitesell United States 14 472 1.0× 380 0.9× 183 0.8× 209 1.3× 204 1.3× 19 849
Claudia Lodovichi Italy 18 578 1.2× 419 1.0× 319 1.5× 104 0.6× 204 1.3× 31 884
E Weiler Germany 15 427 0.9× 507 1.2× 277 1.3× 164 1.0× 122 0.8× 31 1.0k
Fumiaki Imamura United States 20 470 1.0× 808 1.8× 404 1.9× 79 0.5× 237 1.5× 30 1.2k
Michael T. Shipley United States 13 624 1.3× 561 1.3× 285 1.3× 128 0.8× 142 0.9× 13 1.0k
Tetsufumi Ito Japan 15 306 0.6× 445 1.0× 116 0.5× 448 2.8× 110 0.7× 50 861
Ryota Homma United States 11 328 0.7× 343 0.8× 166 0.8× 144 0.9× 112 0.7× 28 740
Carlos de la Rosa‐Prieto Spain 18 276 0.6× 398 0.9× 259 1.2× 101 0.6× 75 0.5× 26 717
Sabine Frey Germany 13 672 1.4× 384 0.9× 160 0.7× 562 3.5× 239 1.5× 25 1.2k

Countries citing papers authored by Markus Rothermel

Since Specialization
Citations

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

Fields of papers citing papers by Markus Rothermel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Rothermel

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Rothermel. A scholar is included among the top collaborators of Markus Rothermel 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 Markus Rothermel. Markus Rothermel 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.
Rothermel, Markus, et al.. (2024). Olfactory deficits in aging and Alzheimer’s—spotlight on inhibitory interneurons. Frontiers in Neuroscience. 18. 1503069–1503069. 1 indexed citations
2.
Rothermel, Markus, et al.. (2024). Human olfaction: odour coding and cross-modal concept representation in single olfactory cortex neurons. Signal Transduction and Targeted Therapy. 9(1). 333–333.
3.
Brunert, Daniela, et al.. (2023). The anterior olfactory nucleus revisited – An emerging role for neuropathological conditions?. Progress in Neurobiology. 228. 102486–102486. 11 indexed citations
4.
Linke, Florian, Yvonne Weber, Stefan Wolking, et al.. (2023). Spectral Fusion of Heartbeat and Accelerometer Data for Estimation of Breathing Rate in Wearable Patches. Studies in health technology and informatics. 302. 1025–1026.
5.
Devinsky, Orrin, et al.. (2023). Autonomic dysfunction in epilepsy mouse models with implications for SUDEP research. Frontiers in Neurology. 13. 1040648–1040648. 8 indexed citations
6.
Brunert, Daniela, et al.. (2022). Functional role of the anterior olfactory nucleus in sensory information processing. 28(3). 169–175. 4 indexed citations
7.
Renner, Bertold, et al.. (2022). Cyclic changes of sensory parameters in migraine patients. Cephalalgia. 42(11-12). 1148–1159. 3 indexed citations
8.
Hoz, Livia de, Laura Busse, Julio C. Hechavarría, Alexander Groh, & Markus Rothermel. (2022). SPP2411: ‘Sensing LOOPS: cortico-subcortical interactions for adaptive sensing’. 28(4). 249–251. 1 indexed citations
9.
Kampa, Björn M., et al.. (2021). Minimally-invasive insertion strategy and in vivo evaluation of multi-shank flexible intracortical probes. Scientific Reports. 11(1). 17 indexed citations
10.
DiBenedictis, Brett T., Yuan Gao, Markus Rothermel, et al.. (2020). Synchronous Infra-Slow Oscillations Organize Ensembles of Accessory Olfactory Bulb Projection Neurons into Distinct Microcircuits. Journal of Neuroscience. 40(21). 4203–4218. 3 indexed citations
11.
Brunert, Daniela & Markus Rothermel. (2020). Extrinsic neuromodulation in the rodent olfactory bulb. Cell and Tissue Research. 383(1). 507–524. 34 indexed citations
12.
Brunert, Daniela, et al.. (2020). Dynamic Impairment of Olfactory Behavior and Signaling Mediated by an Olfactory Corticofugal System. Journal of Neuroscience. 40(38). 7269–7285. 16 indexed citations
13.
Brunert, Daniela, et al.. (2020). Input dependent modulation of olfactory bulb activity by HDB GABAergic projections. Scientific Reports. 10(1). 10696–10696. 15 indexed citations
14.
Blaess, Sandra, et al.. (2020). The Impact of Mitochondrial Dysfunction on Dopaminergic Neurons in the Olfactory Bulb and Odor Detection. Molecular Neurobiology. 57(9). 3646–3657. 17 indexed citations
15.
Brunert, Daniela & Markus Rothermel. (2019). Neuromodulation of early sensory processing in the olfactory system. 25(1). 25–37. 2 indexed citations
16.
Rothermel, Markus, et al.. (2014). Chemosensory Information Processing between Keratinocytes and Trigeminal Neurons. Journal of Biological Chemistry. 289(25). 17529–17540. 37 indexed citations
17.
Distler, C., et al.. (2013). Connections of the superior colliculus to shoulder muscles of the rat: a dual tracing study. Frontiers in Neuroanatomy. 7. 17–17. 19 indexed citations
18.
Rothermel, Markus, et al.. (2013). Transgene Expression in Target-Defined Neuron Populations Mediated by Retrograde Infection with Adeno-Associated Viral Vectors. Journal of Neuroscience. 33(38). 15195–15206. 90 indexed citations
19.
Wachowiak, Matt, Michael N. Economo, Daniela Brunert, et al.. (2013). Optical Dissection of Odor Information ProcessingIn VivoUsing GCaMPs Expressed in Specified Cell Types of the Olfactory Bulb. Journal of Neuroscience. 33(12). 5285–5300. 97 indexed citations
20.
Rothermel, Markus, et al.. (2013). In vivo monitoring of chemically evoked activity patterns in the rat trigeminal ganglion. Frontiers in Systems Neuroscience. 7. 64–64. 2 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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