Rosemarie Einstein

41 papers receiving 480 citations

Peers

Rosemarie Einstein
Comparison fields: 5 of 92
  • Physiology 58
  • Behavioral Neuroscience 37
  • Cardiology and Cardiovascular Medicine 146
  • Small Animals 36
  • Cellular and Molecular Neuroscience 85
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Katsuhiko Doi Japan
Béatrice Georges France
Erik Klinge Finland
Heather Prince United Kingdom
G.M. Lees United Kingdom
D.J. Twissell United Kingdom
Maria R. Depaoli Austria
Daniel Beacham United States
Bernd Koidl Austria
Jaw Kang Chang United States
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Citations per year

Countries citing papers authored by Rosemarie Einstein

Since Specialization
Citations

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

Fields of papers citing papers by Rosemarie Einstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rosemarie Einstein, 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 Rosemarie Einstein Line = papers co-authored together Rosemarie Einstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199969
2 199865
3 197442
4 200239
5 200124
6 197823
7 198122
8 197120
9 199117
10 199517
11 197117
12 201016
13 200814
14 199513
15 197212
16 197212
17 198411
18 19957
19 19847
20 19756

About Rosemarie Einstein

Rosemarie Einstein is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Small Animals and Social Psychology, having authored 41 papers that have together received 519 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Veterinary Pharmacology and Anesthesia (7 papers), Neuroendocrine regulation and behavior (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Cardiac pacing and defibrillation studies (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Pharmacological Effects and Assays (4 papers). The work is most often cited by research in Physiology (58 citations), Behavioral Neuroscience (37 citations), Cardiology and Cardiovascular Medicine (146 citations), Small Animals (36 citations) and Cellular and Molecular Neuroscience (85 citations). Rosemarie Einstein has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include M. Helen Maguire, L. B. Cobbin, N. A. Lavidis, Dennis Chang, A. H. Goodman, Cristobal G. dos Remedios, Michael J. Dünn, Colin Wheeler, James A. Angus and Jun X. Yan. Their work appears in journals such as British Journal of Pharmacology, Clinical and Experimental Pharmacology and Physiology, Electrophoresis, European Journal of Pharmacology and Circulation Research.

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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