Marc Spehr

5.6k total citations · 1 hit paper
83 papers, 3.6k citations indexed

About

Marc Spehr is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Marc Spehr has authored 83 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Sensory Systems, 49 papers in Cellular and Molecular Neuroscience and 34 papers in Nutrition and Dietetics. Recurrent topics in Marc Spehr's work include Olfactory and Sensory Function Studies (50 papers), Neurobiology and Insect Physiology Research (38 papers) and Biochemical Analysis and Sensing Techniques (34 papers). Marc Spehr is often cited by papers focused on Olfactory and Sensory Function Studies (50 papers), Neurobiology and Insect Physiology Research (38 papers) and Biochemical Analysis and Sensing Techniques (34 papers). Marc Spehr collaborates with scholars based in Germany, United States and Israel. Marc Spehr's co-authors include Hanns Hatt, Christian H. Wetzel, Richard K. Zimmer, Jeffrey A. Riffell, Günter Gisselmann, Trese Leinders‐Zufall, Frank Zufall, Steven D. Munger, Kevin R. Kelliher and Eva M. Neuhaus and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Marc Spehr

80 papers receiving 3.5k citations

Hit Papers

Identification of a Testicular Odorant Receptor Mediating... 2003 2026 2010 2018 2003 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification of a Testicular Odorant Receptor Mediating Human Sperm Chemotaxis
    2003 580 citations Marc Spehr, Hanns Hatt et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Spehr Germany 31 2.1k 1.8k 1.4k 635 485 83 3.6k
Lisa Stowers United States 25 1.7k 0.8× 1.6k 0.9× 1.0k 0.7× 1.5k 2.3× 197 0.4× 33 4.5k
Trese Leinders‐Zufall Germany 41 4.1k 1.9× 3.7k 2.1× 2.7k 1.9× 1.1k 1.7× 577 1.2× 88 6.0k
Darren W. Logan United Kingdom 28 1.3k 0.6× 1.1k 0.6× 1.1k 0.7× 693 1.1× 267 0.6× 54 3.5k
Iván Rodríguez Switzerland 39 2.8k 1.3× 2.9k 1.6× 2.2k 1.5× 3.1k 4.8× 486 1.0× 68 7.5k
Masumi Ichikawa Japan 31 959 0.5× 1.5k 0.8× 622 0.4× 797 1.3× 146 0.3× 120 3.1k
Peter Brennan United Kingdom 24 2.0k 1.0× 1.6k 0.9× 1.0k 0.7× 202 0.3× 240 0.5× 63 3.2k
Charles J. Wysocki United States 39 3.6k 1.7× 1.5k 0.8× 2.0k 1.4× 276 0.4× 1.7k 3.5× 96 5.4k
Yoshihiro Yoshihara Japan 50 3.6k 1.7× 4.5k 2.5× 2.5k 1.7× 2.2k 3.5× 779 1.6× 138 8.1k
Stephan Frings Germany 35 1.5k 0.7× 2.5k 1.4× 841 0.6× 1.8k 2.8× 324 0.7× 77 3.9k
Brian Key Australia 42 1.6k 0.8× 2.7k 1.5× 1.1k 0.7× 1.4k 2.2× 138 0.3× 172 5.1k

Countries citing papers authored by Marc Spehr

Since Specialization
Citations

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

Fields of papers citing papers by Marc Spehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Spehr

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Spehr. A scholar is included among the top collaborators of Marc Spehr 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 Marc Spehr. Marc Spehr 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.
Dohrn, Maike F., Thilo Kellermann, Angelika Lampert, et al.. (2024). Painful stimulation increases functional connectivity between supplementary motor area and thalamus in patients with small fibre neuropathy. European Journal of Pain. 29(2). e4720–e4720. 1 indexed citations
2.
Dohrn, Maike F., Ute Habel, Angelika Lampert, et al.. (2024). Reduced Gray Matter Volume and Cortical Thickness in Patients With Small-Fiber Neuropathy. Journal of Pain. 25(6). 104457–104457. 2 indexed citations
3.
Fleck, David, Angelika Lampert, Romana Stopková, et al.. (2023). Deciphering the chemical language of inbred and wild mouse conspecific scents. eLife. 12. 1 indexed citations
4.
Kahan, Anat, et al.. (2023). Stimulus-Induced Theta-Band LFP Oscillations Format Neuronal Representations of Social Chemosignals in the Mouse Accessory Olfactory Bulb. Journal of Neuroscience. 43(50). 8700–8722. 1 indexed citations
5.
Spehr, Marc, et al.. (2022). Fluoride Transport and Inhibition Across CLC Transporters. Handbook of experimental pharmacology. 283. 81–100. 1 indexed citations
6.
Spehr, Marc, et al.. (2022). Purinergic Signaling in Spermatogenesis. Frontiers in Endocrinology. 13. 867011–867011. 3 indexed citations
7.
Bell, Michael J., et al.. (2021). DNA Methyltransferase 1 (DNMT1) Shapes Neuronal Activity of Human iPSC-Derived Glutamatergic Cortical Neurons. International Journal of Molecular Sciences. 22(4). 2034–2034. 12 indexed citations
8.
9.
Spehr, Marc, et al.. (2020). Bursting mitral cells time the oscillatory coupling between olfactory bulb and entorhinal networks in neonatal mice. The Journal of Physiology. 598(24). 5753–5769. 5 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.
Hartung, Henrike, et al.. (2019). Coordinated electrical activity in the olfactory bulb gates the oscillatory entrainment of entorhinal networks in neonatal mice. PLoS Biology. 17(1). e2006994–e2006994. 32 indexed citations
12.
Spehr, Marc, et al.. (2018). A systematic comparison of semiochemical signaling in the accessory olfactory system of wild and lab strain mice. Chemical Senses. 43(3). 33. 2 indexed citations
13.
Spehr, Marc, et al.. (2016). NHERF1 in Microvilli of Vomeronasal Sensory Neurons. Chemical Senses. 42(1). bjw094–bjw094. 3 indexed citations
14.
Bitzenhofer, Sebastian H., et al.. (2015). Oscillatory Activity in Developing Prefrontal Networks Results from Theta-Gamma-Modulated Synaptic Inputs. Cell Reports. 11(3). 486–497. 38 indexed citations
15.
Kalbe, Benjamin, Christian Herrmann, Floris Klumpers, et al.. (2014). Scaffolding by MUPP1 regulates odorant-mediated signaling in olfactory sensory neurons. Journal of Cell Science. 127(Pt 11). 2518–27. 14 indexed citations
16.
Corroy, Steven, et al.. (2013). Modelling Biological Systems using a Parallel Quantized MIMO Channel.. RWTH Publications (RWTH Aachen). 1–5. 1 indexed citations
17.
18.
Ferrero, David M., Takuya Osakada, Nao Horio, et al.. (2013). A juvenile mouse pheromone inhibits sexual behaviour through the vomeronasal system. Nature. 502(7471). 368–371. 121 indexed citations
19.
20.
Triller, Antoine, et al.. (2008). Odorant–Receptor Interactions and Odor Percept: A Chemical Perspective. Chemistry & Biodiversity. 5(6). 862–886. 40 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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