Burkhard Schütz

3.3k total citations
62 papers, 2.4k citations indexed

About

Burkhard Schütz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Burkhard Schütz has authored 62 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 12 papers in Neurology. Recurrent topics in Burkhard Schütz's work include Amyotrophic Lateral Sclerosis Research (11 papers), Biochemical Analysis and Sensing Techniques (10 papers) and Olfactory and Sensory Function Studies (8 papers). Burkhard Schütz is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (11 papers), Biochemical Analysis and Sensing Techniques (10 papers) and Olfactory and Sensory Function Studies (8 papers). Burkhard Schütz collaborates with scholars based in Germany, United States and Austria. Burkhard Schütz's co-authors include Eberhard Weihe, Lee E. Eiden, Andreas Zimmer, Martin Schäfer, Wolfgang Kummer, Gabriela Krasteva‐Christ, H.-M. Reinold, Tamara Papadakis, Ulrike Müller and Pierrick Poisbeau and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Burkhard Schütz

53 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Burkhard Schütz Germany 24 903 744 553 401 328 62 2.4k
Clemens Gillen Germany 28 821 0.9× 862 1.2× 610 1.1× 164 0.4× 162 0.5× 44 2.4k
Maria Giuliana Vannucchi Italy 31 846 0.9× 619 0.8× 747 1.4× 150 0.4× 131 0.4× 93 3.1k
John W. Bigbee United States 25 869 1.0× 736 1.0× 348 0.6× 210 0.5× 199 0.6× 68 2.6k
Se Jin Hwang South Korea 39 1.3k 1.5× 772 1.0× 926 1.7× 84 0.2× 255 0.8× 94 3.4k
Philippe Naveilhan France 33 1.3k 1.4× 1.3k 1.8× 561 1.0× 383 1.0× 531 1.6× 80 4.0k
Xavier Gasull Spain 27 1.3k 1.5× 631 0.8× 547 1.0× 55 0.1× 253 0.8× 74 2.9k
Atsuyoshi Shimada Japan 29 637 0.7× 428 0.6× 511 0.9× 101 0.3× 133 0.4× 85 2.1k
P.C. Barber United Kingdom 27 714 0.8× 889 1.2× 305 0.6× 270 0.7× 282 0.9× 50 2.4k
Ping K. Yip United Kingdom 34 1.1k 1.2× 1.7k 2.3× 1.2k 2.2× 122 0.3× 428 1.3× 78 4.1k

Countries citing papers authored by Burkhard Schütz

Since Specialization
Citations

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

Fields of papers citing papers by Burkhard Schütz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Burkhard Schütz

This figure shows the co-authorship network connecting the top 25 collaborators of Burkhard Schütz. A scholar is included among the top collaborators of Burkhard Schütz 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 Burkhard Schütz. Burkhard Schütz 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.
Schütz, Burkhard, et al.. (2025). Modulation of Host Immunity by Microbiome‐Derived Indole‐3‐Propionic Acid and Other Bacterial Metabolites. European Journal of Immunology. 55(4). e202451594–e202451594. 5 indexed citations
2.
Brigo, Natascha, Judith Löffler‐Ragg, Andrea Schroll, et al.. (2025). Concentrations of uremic bacterial metabolites in patients with post-COVID-19 syndrome. Frontiers in Cellular and Infection Microbiology. 15. 1582972–1582972.
3.
Poharkar, Krupali, Shuya Liu, Wafaa Mahmoud, et al.. (2024). Bitter tastants relax the mouse gallbladder smooth muscle independent of signaling through tuft cells and bitter taste receptors. Scientific Reports. 14(1). 18447–18447. 2 indexed citations
4.
Luu, Maik, Burkhard Schütz, Matthias Lauth, & Alexander Visekruna. (2023). The Impact of Gut Microbiota-Derived Metabolites on the Tumor Immune Microenvironment. Cancers. 15(5). 1588–1588. 33 indexed citations
5.
Perniss, Alexander, Brett Boonen, Sarah Tonack, et al.. (2023). A succinate/SUCNR1-brush cell defense program in the tracheal epithelium. Science Advances. 9(31). eadg8842–eadg8842. 22 indexed citations
6.
Effinger, David, Simon Hirschberger, Burkhard Schütz, et al.. (2023). A ketogenic diet substantially reshapes the human metabolome. Clinical Nutrition. 42(7). 1202–1212. 26 indexed citations
7.
Perniss, Alexander, P Schmidt, Tamara Papadakis, et al.. (2021). Development of epithelial cholinergic chemosensory cells of the urethra and trachea of mice. Cell and Tissue Research. 385(1). 21–35. 10 indexed citations
8.
Oberwinkler, Johannes, et al.. (2020). Advillin is a tuft cell marker in the mouse alimentary tract. Journal of Molecular Histology. 51(4). 421–435. 12 indexed citations
9.
Tune, Sarah, et al.. (2016). Disruption of calcitonin gene-related peptide signaling accelerates muscle denervation and dampens cytotoxic neuroinflammation in SOD1 mutant mice. Cellular and Molecular Life Sciences. 74(2). 339–358. 17 indexed citations
10.
Schütz, Burkhard, et al.. (2014). Satb2-Independent Acquisition of the Cholinergic Sudomotor Phenotype in Rodents. Cellular and Molecular Neurobiology. 35(2). 205–216. 2 indexed citations
11.
Rafiq, Muhammad, Burkhard Schütz, Klaus Deckmann, et al.. (2014). Cholinergic epithelial cell with chemosensory traits in murine thymic medulla. Cell and Tissue Research. 358(3). 737–748. 51 indexed citations
12.
Krasteva‐Christ, Gabriela, Brendan J. Canning, Petra Hartmann, et al.. (2011). Cholinergic chemosensory cells in the trachea regulate breathing. Proceedings of the National Academy of Sciences. 108(23). 9478–9483. 226 indexed citations
13.
Rohr, Jan, Karin Beutel, Andrea Maul‐Pavicic, et al.. (2010). Atypical familial hemophagocytic lymphohistiocytosis due to mutations in UNC13D and STXBP2 overlaps with primary immunodeficiency diseases. Haematologica. 95(12). 2080–2087. 89 indexed citations
14.
Fuchs, Andrea, et al.. (2010). Downregulation of the Potassium Chloride Cotransporter KCC2 in Vulnerable Motoneurons in the SOD1-G93A Mouse Model of Amyotrophic Lateral Sclerosis. Journal of Neuropathology & Experimental Neurology. 69(10). 1057–1070. 31 indexed citations
15.
Schütz, Burkhard, Jens Reimann, Lucia Dumitrescu‐Ozimek, et al.. (2005). The Oral Antidiabetic Pioglitazone Protects from Neurodegeneration and Amyotrophic Lateral Sclerosis-Like Symptoms in Superoxide Dismutase-G93A Transgenic Mice. Journal of Neuroscience. 25(34). 7805–7812. 185 indexed citations
16.
Boldogkői, Zsolt, et al.. (2002). P2X3 receptor expression at early stage of mouse embryogenesis. Mechanisms of Development. 118(1-2). 255–260. 21 indexed citations
17.
Schütz, Burkhard, et al.. (2000). Somatomotor neuron-specific expression of the human cholinergic gene locus in transgenic mice. Neuroscience. 96(4). 707–722. 14 indexed citations
18.
19.
Schütz, Burkhard & Jürgen Niessing. (1994). Cloning and structure of a chicken zinc finger cDNA: restricted expression in developing neural crest cells. Gene. 148(2). 227–236. 5 indexed citations
20.
Salama, A., Burkhard Schütz, V. Kiefel, H. Breithaupt, & C Mueller-Eckhardt. (1989). Immune‐mediated agranulocytosis related to drugs and their metabolites: mode of sensitization and heterogeneity of antibodies. British Journal of Haematology. 72(2). 127–132. 67 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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