M. Spüler
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 10%
- Co-authors
- Dan ZieglerF. A. GriesH MühlenFranz P. LessmannWilfried DimpfelK. DannehlGeorg LauxP. Mayer
- Topics
- Neuroscience and Neuropharmacology Research (10 papers)Neurotransmitter Receptor Influence on Behavior (7 papers)Pain Mechanisms and Treatments (5 papers)
- Journals
- Diabetes CareAnnals of the New York Academy of SciencesAntimicrobial Agents and Chemotherapy
- Partner nations
- GermanyUnited States
In The Last Decade
M. Spüler
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Cardiology and Cardiovascular Medicine 579
- Surgery 316
- Physiology 256
- Cellular and Molecular Neuroscience 174
- Neurology 172
Countries citing papers authored by M. Spüler
This map shows the geographic impact of M. Spüler'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 M. Spüler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Spüler more than expected).
Fields of papers citing papers by M. Spüler
This network shows the impact of papers produced by M. Spüler. 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 M. Spüler. The network helps show where M. Spüler may publish in the future.
Co-authorship network of co-authors of M. Spüler
This figure shows the co-authorship network connecting the top 25 collaborators of M. Spüler. A scholar is included among the top collaborators of M. Spüler 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 M. Spüler. M. Spüler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | Prevalence and clinical correlates of cardiovascular autonomic and peripheral diabetic neuropathy in patients attending diabetes centers. The Diacan Multicenter Study Group. | 84 |
| 3 | 201 | |
| 4 | 318 | |
| 5 | 11 | |
| 6 | 117 | |
| 7 | 64 | |
| 8 | 31 | |
| 9 | 40 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | Effects of the antiparkinson drug budipine on EEG activity in unrestrained rats. | 4 |
| 13 | 2 | |
| 14 | 16 | |
| 15 | 15 | |
| 16 | 34 | |
| 17 | 11 | |
| 18 | 24 | |
| 19 | 20 | |
| 20 | 17 |
About M. Spüler
M. Spüler is a scholar working on Cellular and Molecular Neuroscience, Physiology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Pain Mechanisms and Treatments (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (579 citations), Neurology (172 citations) and Complementary and alternative medicine (92 citations). M. Spüler has collaborated with scholars based in Germany and United States. Frequent co-authors include Dan Ziegler, F. A. Gries, H Mühlen, Franz P. Lessmann, Wilfried Dimpfel, K. Dannehl, Georg Laux, P. Mayer, B Nickel and Wolfgang Rathmann. Their work appears in journals such as Diabetes Care, Annals of the New York Academy of Sciences and Antimicrobial Agents and Chemotherapy.
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.