M. Spüler

1.4k citations
24 papers · 1.1k · h-index 12

Impact in

Papers in

M. Spüler

24 papers receiving 996 citations

Peers

M. Spüler
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 527
  • Physiology 223
  • Neurology 127
  • Endocrinology, Diabetes and Metabolism 123
  • Cellular and Molecular Neuroscience 131
Replace Fiona D. McBryde with:
Fiona D. McBryde New Zealand
P. Mayer Germany
James C. Schadt United States
J. O. SKARPHEDINSSON Sweden
Juro Iriuchijima Japan
G Recordati Italy
Amy E. Burchell United Kingdom
W R Saum United States
C Heymans Belgium
Laura Watson United Kingdom
M. Spüler relative to Fiona D. McBryde New Zealand Fiona D. McBryde's profile →
Citations per field
00.5×1.7×
Fiona D. McBryde · 1×
Citations per year

Countries citing papers authored by M. Spüler

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 24 scholars most cited alongside M. Spüler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Spüler Line = papers co-authored together M. Spüler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992332
2 1992211
3 1992129
4
Prevalence and clinical correlates of cardiovascular autonomic and peripheral diabetic neuropathy in patients attending diabetes centers. The Diacan Multicenter Study Group.
199391
5 199269
6 199351
7 199043
8 199132
9 197819
10 200815
11 200813
12 199213
13 198711
14 19909
15 20088
16 20087
17 19924
18 20084
19
Effects of the antiparkinson drug budipine on EEG activity in unrestrained rats.
19894
20 19892

About M. Spüler

M. Spüler is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Pain Mechanisms and Treatments (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Ion channel regulation and function (3 papers), Neural dynamics and brain function (3 papers), Receptor Mechanisms and Signaling (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (527 citations), Physiology (223 citations), Neurology (127 citations), Endocrinology, Diabetes and Metabolism (123 citations) and Cellular and Molecular Neuroscience (131 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, K. Dannehl, Wilfried Dimpfel, Georg Laux, P. Mayer, Wolfgang Rathmann and F. A. Gries. Their work appears in journals such as Neuropsychobiology, Diabetic Medicine, Psychopharmacology, Journal of Diabetes and its Complications and Journal of Molecular Medicine.

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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