J E Farley

670 citations
7 papers · 601 · h-index 5

Impact in

  • Microbiology top 0.5%
    • Bacterial Infections and Vaccines
  • Epidemiology top 10%
    • Pneumonia and Respiratory Infections
    • Influenza Virus Research Studies
    • Virology and Viral Diseases

Papers in

    • Bacterial Infections and Vaccines 5
    • RNA and protein synthesis mechanisms 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Glycosylation and Glycoproteins Research 1
    • Biochemical and Structural Characterization 1

J E Farley

7 papers receiving 563 citations

Peers

J E Farley
Comparison fields: 5 of 50
  • Microbiology 472
  • Epidemiology 318
  • Endocrinology 35
  • Molecular Medicine 19
  • Immunology 67
Replace B. Danve with:
B. Danve France
M J Quentin-Millet France
Janet Suker United Kingdom
Federica Di Marcello Italy
Hendrik Jan Hamstra Netherlands
Muriel C. Schneider United Kingdom
Hendrik-Jan Hamstra Netherlands
Jeannette N. Williams United Kingdom
Simon Kroll United Kingdom
Elena Del Tordello Italy
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Citations per field
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Citations per year

Countries citing papers authored by J E Farley

Since Specialization
Citations

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

Fields of papers citing papers by J E Farley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside J E Farley, 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 J E Farley Line = papers co-authored together J E Farley links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2004294
2 1990126
3 198889
4 199174
5 200310
6
Molecular organization of the protein A gene and its expression in recombinant host organisms.
19844
7 20174

About J E Farley

J E Farley is a scholar working on Microbiology, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 601 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (5 papers), Pneumonia and Respiratory Infections (3 papers), RNA and protein synthesis mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Glycosylation and Glycoproteins Research (1 paper), Biochemical and Structural Characterization (1 paper) and Infective Endocarditis Diagnosis and Management (1 paper). The work is most often cited by research in Microbiology (472 citations), Epidemiology (318 citations), Endocrinology (35 citations), Molecular Medicine (19 citations) and Immunology (67 citations). J E Farley has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Gary W. Zlotnick, R A Deich, Leah Fletcher, Ying Zhang, Vicki Barniak, Robert J. Zagursky, Alan Howell, Robert P. Smith, Xiaoling Xie and Algis Anilionis. Their work appears in journals such as Infection and Immunity, Carbohydrate Research, Journal of Bacteriology, Vaccine and The Journal of Experimental Medicine.

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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