C C Malbon

81 papers receiving 4.4k citations

Peers

C C Malbon
Comparison fields: 5 of 108
  • Cellular and Molecular Neuroscience 1.2k
  • Behavioral Neuroscience 160
  • Molecular Biology 3.0k
  • Physiology 202
  • Physiology 1.0k
Replace J. Adolfo Garcı́a-Sáinz with:
J. Adolfo Garcı́a-Sáinz Mexico
R.J. Lefkowitz United States
M G Caron United States
R J Lefkowitz United States
A. De Léan Canada
Thomas Frielle United States
Erin J. Whalen United States
Albert J. Baukal United States
John R. Hadcock United States
Steven M. Foord United Kingdom
C C Malbon relative to J. Adolfo Garcı́a-Sáinz Mexico J. Adolfo Garcı́a-Sáinz's profile →
Citations per field
00.5×1.5×
J. Adolfo Garcı́a-Sáinz · 1×
Citations per year

Countries citing papers authored by C C Malbon

Since Specialization
Citations

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

Fields of papers citing papers by C C Malbon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997396
2 1988233
3 1989229
4 1978193
5 1979186
6 1988168
7 1990126
8 198997
9
Beta-adrenergic agonists that down-regulate receptor mRNA up-regulate a M(r) 35,000 protein(s) that selectively binds to beta-adrenergic receptor mRNAs.
199295
10 199294
11 198792
12 199486
13 198081
14 199277
15 198877
16 198976
17 197875
18 198974
19 198573
20 198673

About C C Malbon

C C Malbon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Animal Science and Zoology and Genetics, having authored 81 papers that have together received 4.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (39 papers), Neuropeptides and Animal Physiology (17 papers), Protein Kinase Regulation and GTPase Signaling (15 papers), Pharmacological Effects and Assays (12 papers), Estrogen and related hormone effects (10 papers), Adipose Tissue and Metabolism (8 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Cancer, Stress, Anesthesia, and Immune Response (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Behavioral Neuroscience (160 citations), Molecular Biology (3.0k citations), Physiology (202 citations) and Physiology (1.0k citations). C C Malbon has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include John R. Hadcock, David C. Watkins, Manuel Ros, J. David Port, John N. Fain, Gerard J. Nuovo, Vivek Sivaraman, He Wang, John K. Northup and Peter J. Rapiejko. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, American Journal of Physiology-Cell Physiology, Molecular Pharmacology and Proceedings of the National Academy of Sciences.

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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