E Erikson

7.9k citations
70 papers · 7.1k indexed · 1 hit paper · h-index 43

E Erikson

70 papers receiving 6.5k citations

Hit Papers

Insulin-stimulated MAP-2 kinase phosphorylates and activa...9271988202620002013250500750

Peers

E Erikson
Comparison fields: 5 of 113
  • Aging 198
  • Cell Biology 1.8k
  • Molecular Biology 5.6k
  • Animal Science and Zoology 598
  • Genetics 1.4k
Replace Raymond L. Erikson with:
Raymond L. Erikson United States
D O Toft United States
Nobumoto Watanabe Japan
Sally Kornbluth United States
Philip Coffino United States
Haim Aviv Israel
Hideyoshi Yokosawa Japan
Nicholas F. Totty United Kingdom
Alfred L. Goldberg United States
Jean‐Paul Capony France
E Erikson relative to Raymond L. Erikson United States Raymond L. Erikson's profile →
Citations per field
00.5×1.5×
Raymond L. Erikson · 1×
Citations per year

Countries citing papers authored by E Erikson

Since Specialization
Citations

This map shows the geographic impact of E Erikson'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 Erikson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Erikson more than expected).

Fields of papers citing papers by E Erikson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E Erikson. 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 Erikson. The network helps show where E Erikson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside E Erikson, 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 Erikson Line = papers co-authored together E Erikson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200422
2 2003305
3 2001134
4 199825
5 199672
6 1995146
7 1993237
8 199116
9 1991107
10 19905
11
Insulin-stimulated MAP-2 kinase phosphorylates and activates ribosomal protein S6 kinase IIbreakdown →
1988927
12 19889
13 198721
14 198425
15 198493
16 198341
17 19834
18 198161
19 19804
20 19761

About E Erikson

E Erikson is a scholar working on Animal Science and Zoology, Genetics, Aging, Cell Biology and Molecular Biology, having authored 70 papers that have together received 7.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (28 papers), Viral Infectious Diseases and Gene Expression in Insects (24 papers), Animal Virus Infections Studies (15 papers), RNA and protein synthesis mechanisms (12 papers), Reproductive Biology and Fertility (10 papers), Microtubule and mitosis dynamics (10 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Virology and Viral Diseases (5 papers). The work is most often cited by research in Aging (198 citations), Cell Biology (1.8k citations), Molecular Biology (5.6k citations), Animal Science and Zoology (598 citations) and Genetics (1.4k citations). E Erikson has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include James L. Maller, Raymond L. Erikson, Joan S. Brugge, Marc S. Collett, Thomas W. Sturgill, L. Bryan Ray, R L Erikson, A F Purchio, Yuewei Qian and John Blenis. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Virology and Journal of Virology.

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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