Timothy B Doyle

38 papers receiving 1.1k citations

Timothy B Doyle's Hit Papers

Engineered phage with antibacterial CRISPR–Cas selectively reduce E. coli burden in mice 2023 · 196 citations
1960+1+2Years since publication50100150

Peers

Timothy B Doyle
Comparison fields: 5 of 82
  • Molecular Medicine 542
  • Applied Microbiology and Biotechnology 110
  • Endocrinology 129
  • Pharmacology 233
  • Microbiology 43
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Lucia Henrici De Angelis Italy
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Joshua M. West United States
Jilu Shen China
Tsai-Ling Yang Lauderdale Taiwan
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Siqiang Niu China
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Countries citing papers authored by Timothy B Doyle

Since Specialization
Citations

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

Fields of papers citing papers by Timothy B Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy B Doyle. 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 Timothy B Doyle. The network helps show where Timothy B Doyle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Engineered phage with antibacterial CRISPR–Cas selectively reduce E. coli burden in mice
Hit paper breakdown →
2023196
2 2004116
3 200861
4 200561
5 201957
6 202155
7 200855
8 202150
9 201950
10 201942
11 200741
12 202133
13 200630
14 201929
15 202228
16 202028
17 202025
18 202123
19 202222
20 202211

About Timothy B Doyle

Timothy B Doyle is a scholar working on Molecular Medicine, Endocrinology, Pharmacology, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (29 papers), Antibiotics Pharmacokinetics and Efficacy (11 papers), Antibiotic Use and Resistance (5 papers), Infections and bacterial resistance (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Pneumonia and Respiratory Infections (3 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Molecular Medicine (542 citations), Applied Microbiology and Biotechnology (110 citations), Endocrinology (129 citations), Pharmacology (233 citations) and Microbiology (43 citations). Timothy B Doyle has collaborated with scholars based in United States and Canada. Frequent co-authors include Mariana Castanheira, Helio Silva Sader, Rodrigo Elisandro Mendes, Gregory T. Robertson, Anthony Simon Lynch, Linda L. McCarter, Leonard R Duncan, Lalitagauri M. Deshpande, Eric Roche and Dalai Yan. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Open Forum Infectious Diseases, Journal of Antimicrobial Chemotherapy, International Journal of Antimicrobial Agents and Diagnostic Microbiology and Infectious Disease.

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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