E. Slattery

1.3k citations
15 papers · 1.1k · h-index 10

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immune Response and Inflammation
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA regulation and disease

Papers in

E. Slattery

15 papers receiving 931 citations

Peers

E. Slattery
Comparison fields: 5 of 75
  • Immunology 421
  • Molecular Biology 712
  • Oncology 277
  • Virology 29
  • Physiology 21
Replace C. S. Gilbert with:
C. S. Gilbert United Kingdom
Michael A. Minks United States
Georgia Floyd-Smith United States
N. Robert France
Warren McComas United States
Sara Barak Israel
Elisabeth Thomassen United States
Anatoly Sharipo Sweden
Cedric W. Long United States
Hwai‐Chen Guo United States
E. Slattery relative to C. S. Gilbert United Kingdom C. S. Gilbert's profile →
Citations per field
00.5×4.3×
C. S. Gilbert · 1×
Citations per year

Countries citing papers authored by E. Slattery

Since Specialization
Citations

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

Fields of papers citing papers by E. Slattery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1981286
2 1978179
3 1983133
4 1979106
5 197682
6 197869
7 198767
8 197763
9 197943
10 198015
11 19808
12 19805
13 19814
14 20143
15
Messenger RNA methylation, translation and degradation in extracts of interferon-treated cells.
19773

About E. Slattery

E. Slattery is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Immunology and Organic Chemistry, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Virus-based gene therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), interferon and immune responses (2 papers), RNA Interference and Gene Delivery (2 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Immunology (421 citations), Molecular Biology (712 citations), Oncology (277 citations), Virology (29 citations) and Physiology (21 citations). E. Slattery has collaborated with scholars based in United States and Japan. Frequent co-authors include Péter Lengyel, Georgia Floyd-Smith, Ganes C. Sen, Robert G. Roeder, John David Dignam, Takashi Matsui, Masao Kawakita, Paul J. Farrell, Himadri Samanta and Bartolomé Cabrer. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of General Virology, SpringerPlus and Science.

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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