Frank E. Dailey

461 total citations
8 papers, 379 citations indexed

About

Frank E. Dailey is a scholar working on Molecular Biology, Cell Biology and Ecology. According to data from OpenAlex, Frank E. Dailey has authored 8 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Ecology. Recurrent topics in Frank E. Dailey's work include Microbial Metabolic Engineering and Bioproduction (3 papers), Hemoglobin structure and function (3 papers) and Microbial Community Ecology and Physiology (2 papers). Frank E. Dailey is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (3 papers), Hemoglobin structure and function (3 papers) and Microbial Community Ecology and Physiology (2 papers). Frank E. Dailey collaborates with scholars based in United States, Denmark and Italy. Frank E. Dailey's co-authors include Howard C. Berg, John E. Cronan, Joseph McGraw, James B. Munro, Stanley Maloy, Robert M. Macnab, Lone Gram and Daniel Castillo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Journal of Bacteriology.

In The Last Decade

Frank E. Dailey

8 papers receiving 367 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Frank E. Dailey United States	6	252	115	96	50	47	8	379
WenLian Xu United States	13	333 1.3×	76 0.7×	17 0.2×	82 1.6×	18 0.4×	17	424
Leslie K. Morgan United States	8	298 1.2×	159 1.4×	41 0.4×	40 0.8×	90 1.9×	11	468
Ina Haneburger Germany	11	286 1.1×	146 1.3×	62 0.6×	36 0.7×	175 3.7×	11	453
Jan S. Schuhmacher Germany	8	298 1.2×	172 1.5×	54 0.6×	41 0.8×	51 1.1×	10	423
A. D. Reith United States	5	388 1.5×	165 1.4×	49 0.5×	17 0.3×	32 0.7×	6	502
Lætitia My France	9	227 0.9×	137 1.2×	19 0.2×	28 0.6×	48 1.0×	17	311
Jonathan O’Driscoll Ireland	8	424 1.7×	83 0.7×	58 0.6×	20 0.4×	16 0.3×	9	528
Thomas Kriehuber Germany	11	608 2.4×	41 0.4×	139 1.4×	139 2.8×	22 0.5×	11	713
Anke Middendorf Germany	10	534 2.1×	272 2.4×	17 0.2×	86 1.7×	45 1.0×	10	777
Takayuki Horiuchi Japan	10	353 1.4×	151 1.3×	19 0.2×	14 0.3×	27 0.6×	16	445

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-authorship network of co-authors of Frank E. Dailey

This figure shows the co-authorship network connecting the top 25 collaborators of Frank E. Dailey. A scholar is included among the top collaborators of Frank E. Dailey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank E. Dailey. Frank E. Dailey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Castillo, Daniel, Lone Gram, & Frank E. Dailey. (2018). Genome Sequences of Shewanella baltica and Shewanella morhuae Strains Isolated from the Gastrointestinal Tract of Freshwater Fish. Genome Announcements. 6(25). 5 indexed citations

Castillo, Daniel, Lone Gram, & Frank E. Dailey. (2018). Complete Genome Sequence of Shewanella sp. WE21, a Rare Isolate with Multiple Novel Large Genomic Islands. Genome Announcements. 6(16). 3 indexed citations

Dailey, Frank E., et al.. (2015). The Microbiota of Freshwater Fish and Freshwater Niches Contain Omega-3 Fatty Acid-Producing Shewanella Species. Applied and Environmental Microbiology. 82(1). 218–231. 56 indexed citations

Dailey, Frank E. & Robert M. Macnab. (2002). Effects of Lipoprotein Biogenesis Mutations on Flagellar Assembly in Salmonella. Journal of Bacteriology. 184(3). 771–776. 9 indexed citations

Dailey, Frank E. & Howard C. Berg. (1993). Mutants in disulfide bond formation that disrupt flagellar assembly in Escherichia coli.. Proceedings of the National Academy of Sciences. 90(3). 1043–1047. 203 indexed citations

Dailey, Frank E. & Howard C. Berg. (1993). Change in direction of flagellar rotation in Escherichia coli mediated by acetate kinase. Journal of Bacteriology. 175(10). 3236–3239. 38 indexed citations

Dailey, Frank E., John E. Cronan, & Stanley Maloy. (1987). Acetohydroxy acid synthase I is required for isoleucine and valine biosynthesis by Salmonella typhimurium LT2 during growth on acetate or long-chain fatty acids. Journal of Bacteriology. 169(2). 917–919. 15 indexed citations

Dailey, Frank E. & John E. Cronan. (1986). Acetohydroxy acid synthase I, a required enzyme for isoleucine and valine biosynthesis in Escherichia coli K-12 during growth on acetate as the sole carbon source. Journal of Bacteriology. 165(2). 453–460. 50 indexed citations

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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