J Bailly
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Virology top 10%
- Rabies epidemiology and control
Papers in
-
- Fungal and yeast genetics research 2
-
- Virology and Viral Diseases 6
- Respiratory viral infections research 4
- Influenza Virus Research Studies 3
- Co-authors
- Earl G. Brown (2 shared papers)Mark A. Schnitzler (1 shared paper)Raymond J. Tesi (1 shared paper)Daniel C. Brennan (1 shared paper)David McCollum (1 shared paper)William Irish (1 shared paper)Art B. Owen (1 shared paper)Peter L. Collins (3 shared papers)
- Journals
- Genomics (4 papers)Virus Research (3 papers)Vaccine (3 papers)Nucleic Acids Research (2 papers)Journal of Virology (2 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
J Bailly
25 papers receiving 678 citations
Peers
Comparison fields: 5 of 81
- Transplantation 132
- Virology 64
- Microbiology 67
- Infectious Diseases 137
- Epidemiology 237
Countries citing papers authored by J Bailly
This map shows the geographic impact of J Bailly'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 J Bailly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Bailly more than expected).
Fields of papers citing papers by J Bailly
This network shows the impact of papers produced by J Bailly. 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 J Bailly. The network helps show where J Bailly may publish in the future.
Co-authors
The 25 scholars most cited alongside J Bailly, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 174 | |
| 2 | 2000 | 74 | |
| 3 | The human ryanodine receptor gene: its mapping to 19q13.1, placement in a chromosome 19 linkage group, and exclusion as the gene causing myotonic dystrophy. | 1990 | 61 |
| 4 | 1999 | 52 | |
| 5 | 1988 | 41 | |
| 6 | 1995 | 40 | |
| 7 | 2000 | 38 | |
| 8 | 2000 | 38 | |
| 9 | 2001 | 27 | |
| 10 | 2001 | 26 | |
| 11 | 2006 | 19 | |
| 12 | 1992 | 19 | |
| 13 | 1991 | 15 | |
| 14 | 2002 | 13 | |
| 15 | 1992 | 12 | |
| 16 | D19S51 is closely linked with and maps distal to the myotonic dystrophy locus on 19q. | 1991 | 12 |
| 17 | 1991 | 11 | |
| 18 | 1990 | 8 | |
| 19 | 1989 | 6 | |
| 20 | 1991 | 6 |
About J Bailly
J Bailly is a scholar working on Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience, Virology and Infectious Diseases, having authored 26 papers that have together received 708 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (6 papers), Virology and Viral Diseases (6 papers), Rabies epidemiology and control (5 papers), Respiratory viral infections research (4 papers), Influenza Virus Research Studies (3 papers), Viral Infections and Vectors (3 papers), Fungal and yeast genetics research (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Transplantation (132 citations), Virology (64 citations), Microbiology (67 citations), Infectious Diseases (137 citations) and Epidemiology (237 citations). J Bailly has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Earl G. Brown, Mark A. Schnitzler, Raymond J. Tesi, Daniel C. Brennan, David McCollum, William Irish, Art B. Owen, Peter L. Collins, Josephine M. McAuliffe and John R. Coleman. Their work appears in journals such as Genomics, Virus Research, Vaccine, Nucleic Acids Research and Journal of Virology.
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.