R. Lindmar

1.6k citations
67 papers · 1.2k · h-index 19

Impact in

Papers in

R. Lindmar

65 papers receiving 1.1k citations

Peers

R. Lindmar
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 504
  • Cardiology and Cardiovascular Medicine 287
  • Molecular Biology 709
  • Neurology 77
  • Physiology 239
Replace Taisija de Gubareff with:
Taisija de Gubareff United States
F. J. E. Stefano Argentina
M. K. Paasonen Finland
R. W. Hadley United States
P A Janssen Belgium
Louis A. Barker United States
F. Mitchelson Australia
E. Westermann Germany
Shigeru Kigoshi Japan
Jean Schwartz France
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Citations per field
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Citations per year

Countries citing papers authored by R. Lindmar

Since Specialization
Citations

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

Fields of papers citing papers by R. Lindmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside R. Lindmar, 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 R. Lindmar Line = papers co-authored together R. Lindmar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1964145
2 1968115
3
[The effect of cocaine, guanethidine, reserpine, hexamethonium, tetracaine and psicaine on noradrenalin liberation from the heart].
196162
4 196756
5 198056
6 196151
7 198847
8 197445
9 196538
10 198835
11 197833
12 197931
13 198629
14 197529
15 198328
16 197428
17 198725
18 198024
19 199218
20 197218

About R. Lindmar

R. Lindmar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Physiology and Neurology, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), Neuroscience and Neuropharmacology Research (11 papers), Receptor Mechanisms and Signaling (10 papers), Nitric Oxide and Endothelin Effects (9 papers), Ion channel regulation and function (8 papers), Heart Rate Variability and Autonomic Control (6 papers), Neurological Disorders and Treatments (6 papers) and Pain Mechanisms and Treatments (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (504 citations), Cardiology and Cardiovascular Medicine (287 citations), Molecular Biology (709 citations), Neurology (77 citations) and Physiology (239 citations). R. Lindmar has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include E. Muscholl, Konrad Löffelholz, K. L�ffelholz, K. L�ffelholz, J. Sandmann, Renato Corradetti, U. Wolf, Klaus Unsicker, H. A. Dieterich and Michaela Wänke. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, European Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Biochemical Pharmacology and Journal of Cardiovascular Pharmacology.

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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