R. Kage

847 citations
22 papers · 703 · h-index 13

Impact in

Papers in

R. Kage

21 papers receiving 686 citations

Peers

R. Kage
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 471
  • Behavioral Neuroscience 51
  • Molecular Biology 404
  • Endocrine and Autonomic Systems 37
  • Reproductive Medicine 40
Replace Sharon G. McDowall with:
Sharon G. McDowall Australia
H Bonin Canada
Bengt von Mentzer Sweden
Paul V. Andrews Australia
M Vagne France
Terry W. Moody United States
Svend Knuhtsen Denmark
Jill R. Carstairs United Kingdom
Gabriella Horváth Hungary
María Gómez‐Serrano Spain
R. Kage relative to Sharon G. McDowall Australia Sharon G. McDowall's profile →
Citations per field
00.5×2.7×
Sharon G. McDowall · 1×
Citations per year

Countries citing papers authored by R. Kage

Since Specialization
Citations

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

Fields of papers citing papers by R. Kage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988129
2 199379
3 199478
4 199672
5 199669
6 199569
7 199652
8 199138
9 199122
10 199520
11 199215
12 198814
13 199913
14 198910
15 19897
16 19884
17 19953
18 19823
19
Oligosaccharides in mucosal host defense: model, method, and first data.
19952
20 19882

About R. Kage

R. Kage is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 703 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (14 papers), Receptor Mechanisms and Signaling (13 papers), Chemical Synthesis and Analysis (6 papers), Neurobiology and Insect Physiology Research (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Asthma and respiratory diseases (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (471 citations), Behavioral Neuroscience (51 citations), Molecular Biology (404 citations), Endocrine and Autonomic Systems (37 citations) and Reproductive Medicine (40 citations). R. Kage has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Susan E. Leeman, Norman D. Boyd, J. Michael Conlon, G.P. McGregor, L. Thim, Judith Luber‐Narod, James E. Krause, D I Beller, Paul H. Black and Catherine E. Costello. Their work appears in journals such as Regulatory Peptides, Journal of Neurochemistry, Annals of the New York Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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