Keith E. Krebs
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
-
- Lipid Membrane Structure and Behavior 5
- Protein Structure and Dynamics 3
- Metabolomics and Mass Spectrometry Studies 2
-
- Erythrocyte Function and Pathophysiology 7
- Co-authors
- Michael C. Phillips (6 shared papers)Steven R. Goodman (8 shared papers)Keith Burridge (1 shared paper)G. Elisabeth Pollerberg (1 shared paper)Melitta Schachner (1 shared paper)Ian S. Zagon (5 shared papers)Jamal A. Ibdah (2 shared papers)Beat M. Riederer (2 shared papers)
- Journals
- Endocrinology (1 paper)FEBS Letters (1 paper)Cell and Tissue Research (1 paper)BioEssays (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Keith E. Krebs
15 papers receiving 716 citations
Peers
Comparison fields: 5 of 73
- Developmental Neuroscience 72
- Cell Biology 173
- Cellular and Molecular Neuroscience 172
- Physiology 212
- Immunology and Allergy 48
Countries citing papers authored by Keith E. Krebs
This map shows the geographic impact of Keith E. 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 Keith E. Krebs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith E. Krebs more than expected).
Fields of papers citing papers by Keith E. Krebs
This network shows the impact of papers produced by Keith E. 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 Keith E. Krebs. The network helps show where Keith E. Krebs may publish in the future.
Co-authors
The 23 scholars most cited alongside Keith E. 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 | 1987 | 265 | |
| 2 | 1988 | 135 | |
| 3 | 1989 | 55 | |
| 4 | 1988 | 54 | |
| 5 | 1986 | 53 | |
| 6 | 1984 | 33 | |
| 7 | 1987 | 31 | |
| 8 | 1983 | 31 | |
| 9 | 1983 | 24 | |
| 10 | 1988 | 21 | |
| 11 | 1987 | 16 | |
| 12 | 1986 | 11 | |
| 13 | 1987 | 8 | |
| 14 | 1986 | 7 | |
| 15 | 1991 | 3 |
About Keith E. Krebs
Keith E. Krebs is a scholar working on Molecular Biology, Physiology, Surgery, Cell Biology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 747 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (7 papers), Lipid Membrane Structure and Behavior (5 papers), Pancreatic function and diabetes (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Protein Structure and Dynamics (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Cellular transport and secretion (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Developmental Neuroscience (72 citations), Cell Biology (173 citations), Cellular and Molecular Neuroscience (172 citations), Physiology (212 citations) and Immunology and Allergy (48 citations). Keith E. Krebs has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Michael C. Phillips, Steven R. Goodman, Keith Burridge, G. Elisabeth Pollerberg, Melitta Schachner, Ian S. Zagon, Jamal A. Ibdah, Beat M. Riederer, Marguerite M.B. Kay and Carol F. Whitfield. Their work appears in journals such as Endocrinology, FEBS Letters, Cell and Tissue Research, BioEssays and Annals of the New York 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.