S. M. Dabo

25 papers receiving 766 citations

Peers

S. M. Dabo
Comparison fields: 5 of 68
  • Microbiology 463
  • Virology 127
  • Endocrinology 71
  • Parasitology 78
  • Animal Science and Zoology 82
Replace Zhuofei Xu with:
Zhuofei Xu China
Soraya Déniz Spain
B. Pettersson Sweden
Varpu Hirvelä-Koski Finland
T Nakai Japan
Jean‐Pierre Ganière France
R. E. Wooley United States
P.G. Mbuthia Kenya
Lílian Gregory Brazil
Leo Calvo‐Bado United Kingdom
S. M. Dabo relative to Zhuofei Xu China Zhuofei Xu's profile →
Citations per field
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Zhuofei Xu · 1×
Citations per year

Countries citing papers authored by S. M. Dabo

Since Specialization
Citations

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

Fields of papers citing papers by S. M. Dabo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. M. Dabo. 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 S. M. Dabo. The network helps show where S. M. Dabo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007164
2 1999136
3 200364
4 200636
5 199636
6 200834
7 199733
8 199332
9 201031
10 200229
11 200126
12 200525
13 200122
14 200621
15 198821
16 200520
17
Characterization of rabbit Pasteurella multocida isolates by use of whole-cell, outer-membrane, and polymerase chain reaction typing.
199918
18 198718
19 199412
20 20009

About S. M. Dabo

S. M. Dabo is a scholar working on Microbiology, Virology, Public Health, Environmental and Occupational Health, Plant Science and Parasitology, having authored 27 papers that have together received 812 indexed citations. Recurring topics across this work include Microbial infections and disease research (17 papers), Streptococcal Infections and Treatments (7 papers), Rabies epidemiology and control (7 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Vector-borne infectious diseases (3 papers), Aquaculture disease management and microbiota (3 papers), Toxoplasma gondii Research Studies (2 papers) and Bartonella species infections research (2 papers). The work is most often cited by research in Microbiology (463 citations), Virology (127 citations), Endocrinology (71 citations), Parasitology (78 citations) and Animal Science and Zoology (82 citations). S. M. Dabo has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include A. W. Confer, Anthony W. Confer, Jared Taylor, Kenneth D. Clinkenbeard, Sarah K. Highlander, George L. Murphy, Marie Montelongo, Burt Anderson, Earl D. Mitchell and C. M. Taliaferro. Their work appears in journals such as Veterinary Microbiology, American Journal of Veterinary Research, Microbial Pathogenesis, Animal Feed Science and Technology and Journal of Veterinary Diagnostic Investigation.

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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