Michael D. Apley

96 papers receiving 2.1k citations

Peers

Michael D. Apley
Comparison fields: 5 of 133
  • Microbiology 690
  • Equine 124
  • Small Animals 525
  • Molecular Medicine 333
  • Applied Microbiology and Biotechnology 66
Replace Ulf Magnusson with:
Ulf Magnusson Sweden
J. Trenton McClure Canada
Keith E. Baptiste Denmark
Vibeke Frøkjær Jensen Denmark
Barbara A. Byrne United States
Bo Norby United States
Päivi J. Rajala‐Schultz United States
Trevor W. Alexander Canada
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Citations per field
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Citations per year

Countries citing papers authored by Michael D. Apley

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Apley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000246
2 2013166
3 2005128
4 2005119
5 2008102
6 201274
7 200563
8 201562
9 200755
10 200552
11 201651
12 199850
13 200948
14 201548
15 201744
16
Comparison of the efficacy of enrofloxacin, imidocarb, and oxytetracycline for clearance of persistent Anaplasma marginale infections in cattle.
200641
17 200334
18 200433
19 202032
20 201130

About Michael D. Apley

Michael D. Apley is a scholar working on Microbiology, Small Animals, Pharmacology, Agronomy and Crop Science and Pollution, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include Microbial infections and disease research (44 papers), Antibiotics Pharmacokinetics and Efficacy (15 papers), Pharmaceutical and Antibiotic Environmental Impacts (15 papers), Animal Behavior and Welfare Studies (12 papers), Animal Disease Management and Epidemiology (10 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Milk Quality and Mastitis in Dairy Cows (6 papers) and Veterinary medicine and infectious diseases (6 papers). The work is most often cited by research in Microbiology (690 citations), Equine (124 citations), Small Animals (525 citations), Molecular Medicine (333 citations) and Applied Microbiology and Biotechnology (66 citations). Michael D. Apley has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Keith D. DeDonder, Johann F. Coetzee, Brian V. Lubbers, Randall S. Singer, Brad J. White, Ronette Gehring, Paula J. Fedorka–Cray, J. Scott Weese, Thomas E. Besser and Mark G. Papich. Their work appears in journals such as American Journal of Veterinary Research, Journal of Veterinary Pharmacology and Therapeutics, Veterinary Clinics of North America Food Animal Practice, Frontiers in Veterinary Science and Zoonoses and Public Health.

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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