David A. Bemis

3.7k citations
105 papers · 2.7k · h-index 27

Impact in

  • Microbiology top 0.5%
    • Bacterial Infections and Vaccines
    • Microbial infections and disease research
    • Bacterial Identification and Susceptibility Testing

Papers in

David A. Bemis

102 papers receiving 2.5k citations

Peers

David A. Bemis
Comparison fields: 5 of 111
  • Microbiology 616
  • Clinical Biochemistry 610
  • Infectious Diseases 1.4k
  • Endocrinology 151
  • Small Animals 188
Replace Katleen Hermans with:
Katleen Hermans Belgium
Els M. Broens Netherlands
L. Devriese Belgium
Fanrong Kong Australia
Antina Lübke‐Becker Germany
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Keith E. Baptiste Denmark
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Citations per field
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Citations per year

Countries citing papers authored by David A. Bemis

Since Specialization
Citations

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

Fields of papers citing papers by David A. Bemis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Bemis. 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 David A. Bemis. The network helps show where David A. Bemis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010388
2 2012124
3 2007121
4 200997
5 200494
6 197783
7 200978
8 200375
9 198772
10 199564
11 200563
12 200959
13 200852
14 200648
15 201246
16
Naturally occurring respiratory disease in a kennel caused by Bordetella bronchiseptica.
197743
17 199243
18 197742
19 200442
20 201737

About David A. Bemis

David A. Bemis is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Molecular Biology and Clinical Biochemistry, having authored 105 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (34 papers), Bacterial Identification and Susceptibility Testing (19 papers), Bacterial Infections and Vaccines (14 papers), Microbial infections and disease research (14 papers), Streptococcal Infections and Treatments (12 papers), Herpesvirus Infections and Treatments (11 papers), Bacterial biofilms and quorum sensing (10 papers) and Rabies epidemiology and control (7 papers). The work is most often cited by research in Microbiology (616 citations), Clinical Biochemistry (610 citations), Infectious Diseases (1.4k citations), Endocrinology (151 citations) and Small Animals (188 citations). David A. Bemis has collaborated with scholars based in United States, Egypt and Switzerland. Frequent co-authors include Stephen A. Kania, Linda A. Frank, Rebekah D. Jones, Barton W. Rohrbach, M. J. G. Appel, Vincent Perreten, Helen A. Greisen, Rebecca P. Wilkes, Samar M. Solyman and Engeline van Duijkeren. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, Journal of Clinical Microbiology, Journal of the American Veterinary Medical Association, Veterinary Microbiology and Veterinary Dermatology.

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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