Michael T. Sweeney

1.3k total citations
31 papers, 878 citations indexed

About

Michael T. Sweeney is a scholar working on Microbiology, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Michael T. Sweeney has authored 31 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Microbiology, 10 papers in Molecular Biology and 8 papers in Molecular Medicine. Recurrent topics in Michael T. Sweeney's work include Microbial infections and disease research (12 papers), Antibiotic Resistance in Bacteria (8 papers) and Bacteriophages and microbial interactions (5 papers). Michael T. Sweeney is often cited by papers focused on Microbial infections and disease research (12 papers), Antibiotic Resistance in Bacteria (8 papers) and Bacteriophages and microbial interactions (5 papers). Michael T. Sweeney collaborates with scholars based in United States, Germany and United Kingdom. Michael T. Sweeney's co-authors include Jeffrey L. Watts, Brian V. Lubbers, Štefan Schwarz, Gary E. Zurenko, Marek Szwejczewski, Atli Thorarensen, Kristina Kadlec, Keith R. Marotti, Donna L. Romero and Geovana Brenner Michael and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Frontiers in Microbiology and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Michael T. Sweeney

31 papers receiving 824 citations

Peers

Michael T. Sweeney
Comparison fields: 5 of 95
  • Microbiology 283
  • Molecular Biology 194
  • Molecular Medicine 194
  • Infectious Diseases 167
  • Ecology 112
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Anne Berscheid Germany
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Anatoly Severin United States
Nuno T. Antunes United States
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John P. Santa Maria United States
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Atmika Paudel Japan View profile →
Citations per field, relative to Michael T. Sweeney
Michael T. Sweeney · 1×
Citations per year, relative to Michael T. Sweeney
Michael T. Sweeney · 1×

Countries citing papers authored by Michael T. Sweeney

Since Specialization
Citations

This map shows the geographic impact of Michael T. Sweeney'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 Michael T. Sweeney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Sweeney more than expected).

Fields of papers citing papers by Michael T. Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Sweeney. 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 Michael T. Sweeney. The network helps show where Michael T. Sweeney may publish in the future.

Co-authorship network of co-authors of Michael T. Sweeney

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Sweeney. A scholar is included among the top collaborators of Michael T. Sweeney 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 Michael T. Sweeney. Michael T. Sweeney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 27
3 12
4 51
5 10
6 56
7 61
8
In vitro activities of tulathromycin and ceftiofur combined with other antimicrobial agents using bovine Pasteurella multocida and Mannheimia haemolytica isolates.
6
9 14
10 5
11 9
12 27
13 18
14 21
15 14
16 69
17 3
18 39
19 18
20 35

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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2026