C. E. Baird
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Adenosine and Purinergic Signaling
- Nitric Oxide and Endothelin Effects
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- Neuropeptides and Animal Physiology
Papers in
-
- Phosphodiesterase function and regulation 2
- Receptor Mechanisms and Signaling 2
- Enzyme function and inhibition 2
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- melanin and skin pigmentation 2
- Muscle metabolism and nutrition 1
- Co-authors
- R.W. Butcher (5 shared papers)Earl W. Sutherland (3 shared papers)J. G. Hardman (4 shared papers)Yuejin Wu (2 shared papers)Jack N. Wells (2 shared papers)G. Schultz (1 shared paper)Karin Schultz (1 shared paper)Wendell E. Nicholson (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Endocrinology (2 papers)Proceedings of the National Academy of Sciences (1 paper)Molecular Pharmacology (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United States
In The Last Decade
C. E. Baird
9 papers receiving 1.4k citations
C. E. Baird's Hit Papers
Peers
Comparison fields: 5 of 100
- Physiology 168
- Physiology 444
- Cellular and Molecular Neuroscience 331
- Endocrine and Autonomic Systems 113
- Biochemistry 125
Countries citing papers authored by C. E. Baird
This map shows the geographic impact of C. E. Baird'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. E. Baird with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. E. Baird more than expected).
Fields of papers citing papers by C. E. Baird
This network shows the impact of papers produced by C. E. Baird. 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. E. Baird. The network helps show where C. E. Baird may publish in the future.
Co-authors
The 16 scholars most cited alongside C. E. Baird, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Effects of Lipolytic and Antilipolytic Substances on Adenosine 3′,5′-Monophosphate Levels in Isolated Fat Cells Hit paper breakdown → | 1968 | 510 |
| 2 | 1968 | 343 | |
| 3 | 1973 | 250 | |
| 4 | 1969 | 143 | |
| 5 | 1975 | 126 | |
| 6 | 1969 | 116 | |
| 7 | 1975 | 88 | |
| 8 | 1971 | 51 | |
| 9 | 1969 | 20 |
About C. E. Baird
C. E. Baird is a scholar working on Molecular Biology, Cell Biology, Oncology, Physiology and Physiology, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (2 papers), Adenosine and Purinergic Signaling (2 papers), Peptidase Inhibition and Analysis (2 papers), melanin and skin pigmentation (2 papers), Receptor Mechanisms and Signaling (2 papers), Enzyme function and inhibition (2 papers), Synthesis and Catalytic Reactions (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Physiology (168 citations), Physiology (444 citations), Cellular and Molecular Neuroscience (331 citations), Endocrine and Autonomic Systems (113 citations) and Biochemistry (125 citations). C. E. Baird has collaborated with scholars based in United States. Frequent co-authors include R.W. Butcher, Earl W. Sutherland, J. G. Hardman, Yuejin Wu, Jack N. Wells, G. Schultz, Karin Schultz, Wendell E. Nicholson, Kaoru Abe and Grant W. Liddle. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Proceedings of the National Academy of Sciences, Molecular Pharmacology and Advances in experimental medicine and biology.
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.