Frank E. Dailey

466 citations
8 papers · 393 · h-index 6

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 3
    • Genomics and Phylogenetic Studies 2
    • Protein Structure and Dynamics 2
    • Enzyme Catalysis and Immobilization 1
    • Hemoglobin structure and function 3

Frank E. Dailey

8 papers receiving 380 citations

Peers

Frank E. Dailey
Comparison fields: 5 of 64
  • Endocrinology 47
  • Cell Biology 98
  • Molecular Medicine 22
  • Genetics 111
  • Biochemistry 29
Replace Anke Middendorf with:
Anke Middendorf Germany
Alexandre Smirnov France
C J Daniels United States
Hedda K. Hoffschulte Germany
A. D. Reith United States
Cynthia H. Panagiotidis Greece
Jonathan O’Driscoll Ireland
Leslie K. Morgan United States
Lætitia My France
Erik G. Bogsch United Kingdom
Frank E. Dailey relative to Anke Middendorf Germany Anke Middendorf's profile →
Citations per field
00.5×4.7×
Anke Middendorf · 1×
Citations per year

Countries citing papers authored by Frank E. Dailey

Since Specialization
Citations

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

Fields of papers citing papers by Frank E. Dailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Frank E. Dailey, 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 Frank E. Dailey Line = papers co-authored together Frank E. Dailey links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1993209
2 201557
3 198654
4 199340
5 198716
6 20029
7 20185
8 20183

About Frank E. Dailey

Frank E. Dailey is a scholar working on Molecular Biology, Cell Biology, Ecology, Immunology and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 393 indexed citations. Recurring topics across this work include Hemoglobin structure and function (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Microbial Community Ecology and Physiology (2 papers), Genomics and Phylogenetic Studies (2 papers), Protein Structure and Dynamics (2 papers), Aquaculture disease management and microbiota (2 papers), Enzyme Catalysis and Immobilization (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Endocrinology (47 citations), Cell Biology (98 citations), Molecular Medicine (22 citations), Genetics (111 citations) and Biochemistry (29 citations). Frank E. Dailey has collaborated with scholars based in United States, Italy and Denmark. Frequent co-authors include Howard C. Berg, John E. Cronan, Joseph McGraw, James B. Munro, Robert M. Macnab, Stanley Maloy, Daniel Castillo and Lone Gram. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Genome Announcements.

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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