E Daniell

448 citations
12 papers · 399 · h-index 8

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Bacterial Genetics and Biotechnology
  • Ecology top 10%
    • Bacteriophages and microbial interactions

Papers in

    • RNA and protein synthesis mechanisms 4
    • RNA Research and Splicing 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Molecular Biology Techniques and Applications 2
    • RNA Interference and Gene Delivery 2
    • CRISPR and Genetic Engineering 2
    • Virus-based gene therapy research 8

E Daniell

12 papers receiving 338 citations

Peers

E Daniell
Comparison fields: 5 of 32
  • Genetics 297
  • Ecology 175
  • Infectious Diseases 80
  • Molecular Biology 297
  • Animal Science and Zoology 20
Replace Byron T. Burlingham with:
Byron T. Burlingham United States
Lennart Prage Sweden
Frances J. Paul United States
Carol Kerr Canada
William A. Strohl United States
Theresa N.H. Lee United States
T. Kitahara United States
Yvonne M. Mul Netherlands
Gayle Knapp United States
R S Wonderling United States
E Daniell relative to Byron T. Burlingham United States Byron T. Burlingham's profile →
Citations per field
00.5×
Byron T. Burlingham · 1×
Citations per year

Countries citing papers authored by E Daniell

Since Specialization
Citations

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

Fields of papers citing papers by E Daniell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside E Daniell, 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 Daniell Line = papers co-authored together E Daniell links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1976129
2 197382
3 198153
4 197541
5 198025
6 197822
7 198315
8 19789
9 19817
10 19837
11 19825
12 19814

About E Daniell

E Daniell is a scholar working on Molecular Biology, Genetics, Ecology, Infectious Diseases and Oncology, having authored 12 papers that have together received 399 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Bacteriophages and microbial interactions (7 papers), RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Molecular Biology Techniques and Applications (2 papers), RNA Interference and Gene Delivery (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Genetics (297 citations), Ecology (175 citations), Infectious Diseases (80 citations), Molecular Biology (297 citations) and Animal Science and Zoology (20 citations). E Daniell has collaborated with scholars based in United States. Frequent co-authors include Martha J. Fedor, John Abelson, Norman Davidson, David E. Kohne and Josef Burg. Their work appears in journals such as Journal of Virology, Virology, Proceedings of the National Academy of Sciences and Molecular and Cellular Biology.

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.

Explore authors with similar magnitude of impact