E G Krebs

7.7k citations
31 papers · 6.7k indexed · 3 hit papers · h-index 28

E G Krebs

31 papers receiving 6.3k citations

Hit Papers

Consensus sequences as substrate specificity determinants...1.2k197920261994201050010001.5k

Peers

E G Krebs
Comparison fields: 5 of 124
  • Molecular Biology 5.4k
  • Cell Biology 1.1k
  • Cellular and Molecular Neuroscience 714
  • Aging 64
  • Biochemistry 226
Replace Jackie R. Vandenheede with:
Jackie R. Vandenheede Belgium
Susan Jaken United States
Yoshito Kaziro Japan
Jozef Goris Belgium
Alastair Aitken United Kingdom
Charles O. Brostrom United States
Matilde Caivano United Kingdom
John L. Knopf United States
Jeremy M. Tavaré United Kingdom
Robert J. Deschenes United States
E G Krebs relative to Jackie R. Vandenheede Belgium Jackie R. Vandenheede's profile →
Citations per field
00.5×1.5×
Jackie R. Vandenheede · 1×
Citations per year

Countries citing papers authored by E G Krebs

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with E G Krebs Line = papers co-authored together E G Krebs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1999215
2 199754
3 199563
4 1994108
5 1992328
6
Consensus sequences as substrate specificity determinants for protein kinases and protein phosphatasesbreakdown →
19911186
7 1991313
8 198946
9 1989242
10
cDNA isolated from a human T-cell library encodes a member of the protein-tyrosine-phosphatase family.breakdown →
1989282
11 1986178
12 198537
13 1984104
14 198286
15
Phosphorylation-Dephosphorylation of Enzymesbreakdown →
19791887
16 197718
17 197718
18 1976164
19 1976190
20 1975116

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), Protein Structure and Dynamics (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Biochemical and Molecular Research (4 papers), Protein Tyrosine Phosphatases (4 papers), Biotin and Related Studies (3 papers) and Mass Spectrometry Techniques and Applications (3 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.

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