M. D. Connole

774 citations
32 papers · 560 indexed · h-index 17

Impact in

Papers in

M. D. Connole

32 papers receiving 498 citations

Peers

M. D. Connole
Comparison fields: 5 of 65
  • Microbiology 22
  • Small Animals 195
  • Cell Biology 177
  • Microbiology 55
  • Epidemiology 283
Replace M Otčenášek with:
M Otčenášek Slovakia
Pier Ac
Eliza Simone Viégas Sallis Brazil
C. J. K. Wang United States
Fabiana M. Boabaid Brazil
Manjula Deville France
Karolina Dukik Netherlands
Thomas D. Sullivan United States
Sudha Chaturvedi United States
Masako Kawasaki Japan
M. D. Connole relative to M Otčenášek Slovakia M Otčenášek's profile →
Citations per field
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M Otčenášek · 1×
Citations per year

Countries citing papers authored by M. D. Connole

Since Specialization
Citations

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

Fields of papers citing papers by M. D. Connole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199437
2 199234
3 198936
4 198512
5
Screening of fungal metabolites for insecticidal activity against the sheep blowfly, 'Lucilia cuprina' (Wied.) and the cattle tick, 'Boophilus microplus' (Can.)
19814
6 197713
7 197713
8 197521
9 19746
10 197319
11 19709
12 19691
13 19682
14 19674
15 196716
16
A review of animal mycoses in Australia.
196715
17 196613
18 196620
19 196324
20 19625

About M. D. Connole

M. D. Connole is a scholar working on Microbiology, Small Animals, Microbiology, Cell Biology and Epidemiology, having authored 32 papers that have together received 560 indexed citations. Recurring topics across this work include Infectious Diseases and Mycology (14 papers), Plant Pathogens and Fungal Diseases (13 papers), Nail Diseases and Treatments (8 papers), Microbial infections and disease research (6 papers), Fungal Infections and Studies (6 papers), Genetic and phenotypic traits in livestock (3 papers), Mycobacterium research and diagnosis (3 papers) and Mycotoxins in Agriculture and Food (3 papers). The work is most often cited by research in Microbiology (22 citations), Small Animals (195 citations), Cell Biology (177 citations), Microbiology (55 citations) and Epidemiology (283 citations). M. D. Connole has collaborated with scholars based in Australia, Japan and United States. Frequent co-authors include R. A. McKenzie, B. J. Blaney, L. A. Y. Johnston, Troy E. McEwan, Libero Ajello, BJ Blaney, R. R. Pascoe, Atsuhiko Hasegawa, Christine O. Dawson and J. C. Gentles. Their work appears in journals such as Australian Veterinary Journal, Medical Mycology, Veterinary Pathology, Mycopathologia and Veterinary Record.

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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