R. E. Lang

14 papers receiving 316 citations

Peers

R. E. Lang
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 206
  • Endocrine and Autonomic Systems 22
  • Behavioral Neuroscience 10
  • Molecular Biology 192
  • Cardiology and Cardiovascular Medicine 54
Replace G. Vassent with:
G. Vassent France
MartinC. Michel Germany
Heribert Wagner
Niclas Brynne Sweden
Anne Renouard France
Frederick Mitchelson Australia
Andrew J. Bilski United Kingdom
Richard P. Burt United Kingdom
Howard Weinstein United States
Michael F. Hyek United States
R. E. Lang relative to G. Vassent France G. Vassent's profile →
Citations per field
00.5×
G. Vassent · 1×
Citations per year

Countries citing papers authored by R. E. Lang

Since Specialization
Citations

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

Fields of papers citing papers by R. E. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 198762
2 198455
3 199037
4 198424
5 198224
6 200922
7
Hormonal changes after parabolic flight: implications on the development of motion sickness.
199021
8 198419
9 199019
10 197317
11 198617
12 19849
13 19875
14 19733

About R. E. Lang

R. E. Lang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Surgery, Psychiatry and Mental health and Infectious Diseases, having authored 14 papers that have together received 334 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (9 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers), Renin-Angiotensin System Studies (1 paper), Pain Mechanisms and Treatments (1 paper), Plant-based Medicinal Research (1 paper), Epilepsy research and treatment (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (206 citations), Endocrine and Autonomic Systems (22 citations), Behavioral Neuroscience (10 citations), Molecular Biology (192 citations) and Cardiology and Cardiovascular Medicine (54 citations). R. E. Lang has collaborated with scholars based in Germany. Frequent co-authors include Detlev Ganten, Th. Unger, K H Jakobs, Klaus Aktories, E. Hackenthal, Carolyn L. Bayer, K. Hermann, Wolfram Gaida, Margaret A. Petty and M. Reinecke. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Journal of Pharmaceutical Sciences, Journal of Chromatographic Science, European Journal of Biochemistry and Journal of Biological Chemistry.

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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