D. Sauer

586 total citations
10 papers, 454 citations indexed

About

D. Sauer is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, D. Sauer has authored 10 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in D. Sauer's work include Neuroscience and Neuropharmacology Research (6 papers), Mitochondrial Function and Pathology (2 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). D. Sauer is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Mitochondrial Function and Pathology (2 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). D. Sauer collaborates with scholars based in Switzerland, Germany and United States. D. Sauer's co-authors include F. Gasparini, T Leonhardt, Ralf Kühn, Snežana Lukić, Ferdinando Nicoletti, Peter R. Allegrini, Valeria Bruno, Giuseppe Battaglia, Peter J. Flor and Christoph Wießner and has published in prestigious journals such as Neurology, Journal of Pharmacology and Experimental Therapeutics and Neuropharmacology.

In The Last Decade

D. Sauer

10 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Sauer Switzerland 8 292 221 109 78 53 10 454
Raquelli Ganel United States 6 452 1.5× 277 1.3× 95 0.9× 69 0.9× 44 0.8× 7 589
Stéphanie Goursaud Belgium 13 305 1.0× 165 0.7× 86 0.8× 105 1.3× 41 0.8× 24 467
Stanley H. Appel United States 7 348 1.2× 233 1.1× 199 1.8× 53 0.7× 48 0.9× 11 546
Jacqueline Fournier France 10 222 0.8× 201 0.9× 49 0.4× 49 0.6× 25 0.5× 15 427
L. Siklós Hungary 13 206 0.7× 209 0.9× 185 1.7× 88 1.1× 116 2.2× 26 521
Mingxia Liao Canada 12 317 1.1× 362 1.6× 68 0.6× 129 1.7× 24 0.5× 17 622
Wael Musleh United States 13 259 0.9× 148 0.7× 68 0.6× 54 0.7× 35 0.7× 16 588
Céline Vermeiren Belgium 10 186 0.6× 178 0.8× 102 0.9× 90 1.2× 35 0.7× 14 461
H. Beal McIlvain United States 11 232 0.8× 177 0.8× 59 0.5× 39 0.5× 36 0.7× 16 364
Yosef Avchalumov United States 14 155 0.5× 201 0.9× 56 0.5× 42 0.5× 35 0.7× 26 473

Countries citing papers authored by D. Sauer

Since Specialization
Citations

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

Fields of papers citing papers by D. Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Sauer

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

All Works

10 of 10 papers shown
1.
Miller, Robert G., Walter G. Bradley, Merit Cudkowicz, et al.. (2007). Phase II/III randomized trial of TCH346 in patients with ALS. Neurology. 69(8). 776–784. 88 indexed citations
2.
Bielenberg, Gerhard Wilhelm, et al.. (2004). Effects of emopamil on postischemic blood flow and neuronal damage in rat brain. Naunyn-Schmiedeberg s Archives of Pharmacology. 339-339(1-2). 230–235. 1 indexed citations
3.
Bruno, Valeria, Iwona Ksiazek, Giuseppe Battaglia, et al.. (2000). Selective blockade of metabotropic glutamate receptor subtype 5 is neuroprotective. Neuropharmacology. 39(12). 2223–2230. 103 indexed citations
4.
Wießner, Christoph, et al.. (2000). Protective effect of a caspase inhibitor in models for cerebral ischemia in vitro and in vivo.. PubMed. 46(1). 53–62. 66 indexed citations
5.
Gasparini, F., Valeria Bruno, Giuseppe Battaglia, et al.. (1999). (R, S)-4-Phosphonophenylglycine, a Potent and Selective Group III Metabotropic Glutamate Receptor Agonist, Is Anticonvulsive and Neuroprotective In Vivo. Journal of Pharmacology and Experimental Therapeutics. 289(3). 1678–1687. 143 indexed citations
6.
Lingenhöhl, Kurt, Daniel L. Small, Robert Monette, et al.. (1997). Exploration of P-type Ca 2+ Channels as Drug Targets for the Treatment of Epilepsy or Ischemic Stroke. Neuropharmacology. 36(1). 107–113. 16 indexed citations
7.
Sauer, D., et al.. (1994). The competitive NMDA receptor antagonist CGP 40116 is a potent neuroprotectant in a rat model of focal cerebral ischemia.. PubMed. 43. 81–9. 12 indexed citations
8.
Weber, Edgar, et al.. (1993). Assessment of infarct volume in the mouse brain: correlation of magnetic resonance imaging with morphometry.. PubMed. 7(4). 335–8. 10 indexed citations
9.
Krieglstein, Josef, et al.. (1989). Calcium antagonists protect hippocampal neurons against ischemic damage.. PubMed. 317. 393–400. 1 indexed citations
10.
Mennel, H. D., et al.. (1988). Morphology of tissue damage due to experimental cerebral ischemia in rats. Experimental Pathology. 35(4). 219–230. 14 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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