E G Krebs
- Molecular Biology top 1%
- Cell Biology top 1%
- Cellular and Molecular Neuroscience top 2%
- Oncology top 5%
- Physiology top 5%
- Co-authors
- Joseph A. BeavoPeter J. KennellyDavid B. GlassKenneth A. WalshEdmond H. FischerNatalie G. AhnRony SegerHarry Charbonneau
- Topics
- Protein Kinase Regulation and GTPase Signaling (6 papers)Chemical Synthesis and Analysis (5 papers)Protein Structure and Dynamics (5 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
E G Krebs
31 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 5.4k
- Cell Biology 1.1k
- Cellular and Molecular Neuroscience 714
- Oncology 555
- Physiology 552
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 of co-authors of E G Krebs
This figure shows the co-authorship network connecting the top 25 collaborators of E G Krebs. A scholar is included among the top collaborators of E G Krebs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E G Krebs. E G Krebs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 215 | |
| 2 | 54 | |
| 3 | 63 | |
| 4 | 108 | |
| 5 | 328 | |
| 6 | Consensus sequences as substrate specificity determinants for protein kinases and protein phosphatasesbreakdown → | 1186 |
| 7 | 313 | |
| 8 | 46 | |
| 9 | 242 | |
| 10 | cDNA isolated from a human T-cell library encodes a member of the protein-tyrosine-phosphatase family.breakdown → | 282 |
| 11 | 178 | |
| 12 | 37 | |
| 13 | 104 | |
| 14 | 86 | |
| 15 | Phosphorylation-Dephosphorylation of Enzymesbreakdown → | 1887 |
| 16 | 18 | |
| 17 | 18 | |
| 18 | 164 | |
| 19 | 190 | |
| 20 | 116 |
About E G Krebs
E G Krebs is a scholar working on Cell Biology, Molecular Biology and Cancer Research, having authored 31 papers that have together received 6.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Chemical Synthesis and Analysis (5 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Molecular Biology (5.4k citations), Cell Biology (1.1k citations) and Cellular and Molecular Neuroscience (714 citations). E G Krebs has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Joseph A. Beavo, Peter J. Kennelly, David B. Glass, Kenneth A. Walsh, Edmond H. Fischer, Natalie G. Ahn, Rony Seger, Harry Charbonneau, D E Cool and Melanie H. Cobb. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA 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.