E G Krebs
- Molecular Biology top 0.1%
- Cell Biology top 0.1%
- Oncology top 1%
- Cellular and Molecular Neuroscience top 1%
- Immunology top 2%
- Co-authors
- Peter J. BechtelJoseph A. BeavoDonal A. WalshNatalie G. AhnJohn P. PerkinsE A KuenzelJ E CasnellieJames L. Maller
- Topics
- Protein Kinase Regulation and GTPase Signaling (25 papers)Chemical Synthesis and Analysis (13 papers)Glycosylation and Glycoproteins Research (10 papers)
- Cited by
- Molecular BiologyCell BiologyAging
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- 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
- Oncology 1.7k
- Cellular and Molecular Neuroscience 1.5k
- Immunology 1.4k
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 | 76 | |
| 2 | 101 | |
| 3 | 138 | |
| 4 | 240 | |
| 5 | 75 | |
| 6 | 363 | |
| 7 | 211 | |
| 8 | 8 | |
| 9 | 260 | |
| 10 | 64 | |
| 11 | 173 | |
| 12 | 16 | |
| 13 | 114 | |
| 14 | 97 | |
| 15 | 100 | |
| 16 | 68 | |
| 17 | 123 | |
| 18 | Role of multiple basic residues in determining the substrate specificity of cyclic AMP-dependent protein kinase.breakdown → | 761 |
| 19 | 39 | |
| 20 | An Adenosine 3′,5′-Monophosphate-dependant Protein Kinase from Rabbit Skeletal Musclebreakdown → | 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) and Glycosylation and Glycoproteins Research (10 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.