E G Krebs
- Molecular Biology top 0.1%
- Protein Kinase Regulation and GTPase Signaling 25
- Chemical Synthesis and Analysis 13
- Glycosylation and Glycoproteins Research 10
- Metabolism, Diabetes, and Cancer 9
- Protein Hydrolysis and Bioactive Peptides 9
- Cell Biology top 0.1%
- Biotin and Related Studies 8
- Aging top 1%
- Physiology top 0.5%
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- Enzyme Structure and Function 9
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- Animal Genetics and Reproduction 9
- Co-authors
- Peter J. BechtelJoseph A. BeavoDonal A. WalshNatalie G. AhnJohn P. PerkinsE A KuenzelJ E CasnellieJames L. Maller
- Cited by
- Molecular BiologyCell BiologyAging
- Journals
- Proceedings of the National Academy of Sciences (31 papers)Journal of Biological Chemistry (60 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- United StatesRussiaItaly
In The Last Decade
E G Krebs
124 papers receiving 16.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 14.1k
- Cell Biology 3.3k
- Aging 270
- Physiology 430
- Cellular and Molecular Neuroscience 1.5k
Countries citing papers authored by E G Krebs
This map shows the geographic impact of E G Krebs'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 E G Krebs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E G Krebs more than expected).
Fields of papers citing papers by E G Krebs
This network shows the impact of papers produced by E G Krebs. 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 E G Krebs. The network helps show where E G Krebs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside E G Krebs, 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 | 1997 | 76 | |
| 2 | 1997 | 101 | |
| 3 | 1997 | 138 | |
| 4 | 1995 | 240 | |
| 5 | 1995 | 75 | |
| 6 | 1994 | 363 | |
| 7 | 1994 | 211 | |
| 8 | 1993 | 8 | |
| 9 | 1992 | 260 | |
| 10 | 1991 | 64 | |
| 11 | 1990 | 173 | |
| 12 | 1990 | 16 | |
| 13 | 1988 | 114 | |
| 14 | 1988 | 97 | |
| 15 | 1987 | 100 | |
| 16 | 1986 | 68 | |
| 17 | 1984 | 123 | |
| 18 | Role of multiple basic residues in determining the substrate specificity of cyclic AMP-dependent protein kinase.breakdown → | 1977 | 761 |
| 19 | 1975 | 39 | |
| 20 | An Adenosine 3′,5′-Monophosphate-dependant Protein Kinase from Rabbit Skeletal Musclebreakdown → | 1968 | 1132 |
About E G Krebs
E G Krebs is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 124 papers that have together received 17.8k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (25 papers), Chemical Synthesis and Analysis (13 papers), Glycosylation and Glycoproteins Research (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Enzyme Structure and Function (9 papers), Protein Hydrolysis and Bioactive Peptides (9 papers), Animal Genetics and Reproduction (9 papers) and Biotin and Related Studies (8 papers). The work is most often cited by research in Molecular Biology (14.1k citations), Cell Biology (3.3k citations) and Aging (270 citations). E G Krebs has collaborated with scholars based in United States, Russia and Italy. Frequent co-authors include Peter J. Bechtel, Joseph A. Beavo, Donal A. Walsh, Natalie G. Ahn, John P. Perkins, E A Kuenzel, J E Casnellie, James L. Maller, Bruce E. Kemp and Franz Hofmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.