S. G. Mueller

536 total citations
8 papers, 260 citations indexed

About

S. G. Mueller is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, S. G. Mueller has authored 8 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Psychiatry and Mental health, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in S. G. Mueller's work include Epilepsy research and treatment (4 papers), Advanced MRI Techniques and Applications (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). S. G. Mueller is often cited by papers focused on Epilepsy research and treatment (4 papers), Advanced MRI Techniques and Applications (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). S. G. Mueller collaborates with scholars based in Switzerland, United States and Germany. S. G. Mueller's co-authors include Linda L. Chao, Brian D. Berman, M W Weiner, Heinz Gregor Wieser, Peter Boesiger, O. Weber, Michael W. Weiner, Kenneth D. Laxer, Jerome Barakos and Gerd A. Kullak‐Ublick and has published in prestigious journals such as NeuroImage, Epilepsia and American Journal of Neuroradiology.

In The Last Decade

S. G. Mueller

8 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. G. Mueller Switzerland 8 124 89 83 76 60 8 260
P. Hardus Netherlands 9 165 1.3× 21 0.2× 88 1.1× 111 1.5× 88 1.5× 15 364
Marshal D. Wolff Canada 8 161 1.3× 77 0.9× 187 2.3× 42 0.6× 67 1.1× 10 353
J. O. Thorell Sweden 8 194 1.6× 36 0.4× 150 1.8× 116 1.5× 56 0.9× 11 360
Jeffrey Bolton United States 10 199 1.6× 183 2.1× 58 0.7× 49 0.6× 70 1.2× 27 315
F. Sellal France 6 229 1.8× 103 1.2× 128 1.5× 30 0.4× 91 1.5× 10 306
Jianxiang Liao China 9 70 0.6× 51 0.6× 33 0.4× 25 0.3× 32 0.5× 31 226
Todd M. Arthur United States 12 331 2.7× 215 2.4× 143 1.7× 58 0.8× 144 2.4× 23 466
J Mareš Czechia 13 114 0.9× 123 1.4× 221 2.7× 17 0.2× 116 1.9× 61 535
Flóra John United States 10 98 0.8× 46 0.5× 48 0.6× 88 1.2× 41 0.7× 22 332
Iiris Nousiainen Finland 9 338 2.7× 30 0.3× 170 2.0× 42 0.6× 209 3.5× 10 471

Countries citing papers authored by S. G. Mueller

Since Specialization
Citations

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

Fields of papers citing papers by S. G. Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. G. Mueller. 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 S. G. Mueller. The network helps show where S. G. Mueller may publish in the future.

Co-authorship network of co-authors of S. G. Mueller

This figure shows the co-authorship network connecting the top 25 collaborators of S. G. Mueller. A scholar is included among the top collaborators of S. G. Mueller 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 S. G. Mueller. S. G. Mueller 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.
Scanlon, Catherine E, S. G. Mueller, Duygu Tosun, et al.. (2011). Impact of Methodologic Choice for Automatic Detection of Different Aspects of Brain Atrophy by Using Temporal Lobe Epilepsy as a Model. American Journal of Neuroradiology. 32(9). 1669–1676. 24 indexed citations
2.
Mueller, S. G., Linda L. Chao, Brian D. Berman, & M W Weiner. (2011). Evidence for functional specialization of hippocampal subfields detected by MR subfield volumetry on high resolution images at 4T. NeuroImage. 56(3). 851–857. 111 indexed citations
3.
Simon, Christian, Bruno Stieger, Gerd A. Kullak‐Ublick, et al.. (2006). Intestinal expression of cytochrome P450 enzymes and ABC transporters and carbamazepine and phenytoin disposition. Acta Neurologica Scandinavica. 115(4). 232–242. 43 indexed citations
4.
Mueller, S. G., Kenneth D. Laxer, Jerome Barakos, et al.. (2005). Metabolic characteristics of cortical malformations causing epilepsy. Journal of Neurology. 252(9). 1082–1092. 23 indexed citations
5.
Mueller, S. G., O. Weber, Caroline Duc, et al.. (2003). Effects of vigabatrin on brain GABA+/Cr signals in focus‐distant and focus‐near brain regions monitored by 1H‐NMR spectroscopy. European Journal of Neurology. 10(1). 45–52. 8 indexed citations
6.
Mueller, S. G., Spyros Kollias, Andreas Trabesinger, et al.. (2001). Proton magnetic resonance spectroscopy characteristics of a focal cortical dysgenesis during status epilepticus and in the interictal state. Seizure. 10(7). 518–524. 13 indexed citations
7.
Mueller, S. G., O. Weber, Caroline Duc, et al.. (2001). Effects of Vigabatrin on Brain GABA+/CR Signals in Patients with Epilepsy Monitored by 1H‐NMR‐Spectroscopy: Responder Characteristics. Epilepsia. 42(1). 29–40. 29 indexed citations
8.
Mueller, S. G., O. Weber, Peter Boesiger, & Heinz Gregor Wieser. (2001). Influence of pyridoxal 5′-phosphate alone and in combination with vigabatrin on brain GABA measured by 1H-NMR-spectroscopy. Brain Research Bulletin. 55(4). 555–560. 9 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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