J Bailly

870 citations
26 papers · 740 · h-index 14

Impact in

    • 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

J Bailly

25 papers receiving 705 citations

Peers

J Bailly
Comparison fields: 5 of 79
  • Transplantation 101
  • Virology 68
  • Microbiology 65
  • Infectious Diseases 131
  • Epidemiology 229
Replace Mark R. Gray with:
Mark R. Gray United States
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Bharati M. Sanjanwala United States
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Suzu Igarashi United States
R. Schmidt Germany
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Citations per field
00.5×4.2×
Mark R. Gray · 1×
Citations per year

Countries citing papers authored by J Bailly

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with J Bailly Line = papers co-authored together J Bailly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003177
2 200080
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.
199064
4 199952
5 198848
6 199542
7 200040
8 200040
9 200128
10 200127
11 200621
12 199219
13 199115
14 200213
15 199213
16 199112
17
D19S51 is closely linked with and maps distal to the myotonic dystrophy locus on 19q.
199112
18 19898
19 19907
20 19916

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 740 indexed citations. Recurring topics across this work include Virology and Viral Diseases (6 papers), Genetic Neurodegenerative 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), Algal biology and biofuel production (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Transplantation (101 citations), Virology (68 citations), Microbiology (65 citations), Infectious Diseases (131 citations) and Epidemiology (229 citations). J Bailly has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Earl G. Brown, Mark A. Schnitzler, William Irish, Daniel C. Brennan, Raymond J. Tesi, David McCollum, Art B. Owen, Josephine M. McAuliffe, John R. Coleman and Peter L. Collins. Their work appears in journals such as Genomics, Virus Research, Vaccine, Journal of Virology and Nucleic Acids Research.

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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