M Coene
Impact in
- Small Animals top 2%
- Infectious Diseases and Mycology
- Veterinary medicine and infectious diseases
- Epidemiology top 5%
- Mycobacterium research and diagnosis
Papers in ⓘ
- Epidemiology 18
- Mycobacterium research and diagnosis 18
-
- Ginseng Biological Effects and Applications 5
- DNA and Nucleic Acid Chemistry 5
- Advanced biosensing and bioanalysis techniques 3
- Co-authors
- C. Cocito (23 shared papers)Philippe Gilot (9 shared papers)Myriam De Kesel (7 shared papers)P Poupart (2 shared papers)Pascal Vannuffel (4 shared papers)Philippe Hoet (6 shared papers)H. Van Heuverswyn (1 shared paper)Rabindra N. Padhy (1 shared paper)
- Journals
- Journal of Clinical Microbiology (3 papers)Canadian Journal of Microbiology (2 papers)Journal of Bacteriology (2 papers)Infection and Immunity (2 papers)European Journal of Biochemistry (2 papers)
- Partner nations
- Belgium
In The Last Decade
M Coene
27 papers receiving 655 citations
Peers
Comparison fields: 5 of 67
- Small Animals 211
- Epidemiology 504
- Infectious Diseases 244
- Pharmacology 96
- Microbiology 44
Countries citing papers authored by M Coene
This map shows the geographic impact of M Coene'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 Coene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Coene more than expected).
Fields of papers citing papers by M Coene
This network shows the impact of papers produced by M Coene. 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 Coene. The network helps show where M Coene may publish in the future.
Co-authors
The 18 scholars most cited alongside M Coene, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 210 | |
| 2 | 1993 | 80 | |
| 3 | 1989 | 68 | |
| 4 | 1993 | 45 | |
| 5 | 1992 | 39 | |
| 6 | 1994 | 32 | |
| 7 | 1993 | 30 | |
| 8 | 1988 | 27 | |
| 9 | 1989 | 24 | |
| 10 | 1994 | 23 | |
| 11 | 1992 | 21 | |
| 12 | 1994 | 21 | |
| 13 | 1992 | 21 | |
| 14 | 1985 | 12 | |
| 15 | 1994 | 8 | |
| 16 | 1987 | 8 | |
| 17 | 1989 | 8 | |
| 18 | 1983 | 7 | |
| 19 | 1990 | 6 | |
| 20 | 1987 | 6 |
About M Coene
M Coene is a scholar working on Epidemiology, Molecular Biology, Ecology, Infectious Diseases and Pharmacology, having authored 28 papers that have together received 716 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (18 papers), Bacteriophages and microbial interactions (9 papers), Pharmacological Effects of Natural Compounds (6 papers), Ginseng Biological Effects and Applications (5 papers), Leprosy Research and Treatment (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Small Animals (211 citations), Epidemiology (504 citations), Infectious Diseases (244 citations), Pharmacology (96 citations) and Microbiology (44 citations). M Coene has collaborated with scholars based in Belgium. Frequent co-authors include C. Cocito, Philippe Gilot, Myriam De Kesel, P Poupart, Pascal Vannuffel, Philippe Hoet, H. Van Heuverswyn, Rabindra N. Padhy, Christine Dieterich and P de Wergifosse. Their work appears in journals such as Journal of Clinical Microbiology, Canadian Journal of Microbiology, Journal of Bacteriology, Infection and Immunity and European Journal of Biochemistry.
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.