J. Wayne Conlan
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Virology top 1%
- Poxvirus research and outbreaks
Papers in
-
- Bacillus and Francisella bacterial research 40
-
- SARS-CoV-2 and COVID-19 Research 15
- Co-authors
- R J North (12 shared papers)Hua Shen (16 shared papers)Rhonda KuoLee (23 shared papers)Wangxue Chen (17 shared papers)Malcolm B. Perry (18 shared papers)Anders Sjöstedt (11 shared papers)Ann Webb (10 shared papers)L.A.E. Ashworth (6 shared papers)
- Journals
- Canadian Journal of Microbiology (12 papers)Infection and Immunity (12 papers)Vaccine (9 papers)Microbial Pathogenesis (9 papers)Microbiology (5 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
J. Wayne Conlan
92 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 110
- Endocrinology 788
- Virology 559
- Infectious Diseases 1.2k
- Immunology 1.2k
- Microbiology 352
Countries citing papers authored by J. Wayne Conlan
This map shows the geographic impact of J. Wayne Conlan'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. Wayne Conlan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Wayne Conlan more than expected).
Fields of papers citing papers by J. Wayne Conlan
This network shows the impact of papers produced by J. Wayne Conlan. 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. Wayne Conlan. The network helps show where J. Wayne Conlan may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Wayne Conlan, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 311 | |
| 2 | 1992 | 218 | |
| 3 | 1991 | 179 | |
| 4 | 1997 | 171 | |
| 5 | 2007 | 167 | |
| 6 | 2002 | 162 | |
| 7 | 2003 | 148 | |
| 8 | 1994 | 128 | |
| 9 | 2002 | 127 | |
| 10 | 2003 | 100 | |
| 11 | 2004 | 98 | |
| 12 | 2000 | 88 | |
| 13 | 2007 | 82 | |
| 14 | 2002 | 80 | |
| 15 | 2006 | 80 | |
| 16 | 1996 | 73 | |
| 17 | 1996 | 73 | |
| 18 | 1994 | 73 | |
| 19 | 1997 | 68 | |
| 20 | 1988 | 68 |
About J. Wayne Conlan
J. Wayne Conlan is a scholar working on Molecular Biology, Infectious Diseases, Endocrinology, Immunology and Genetics, having authored 92 papers that have together received 4.5k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (40 papers), Yersinia bacterium, plague, ectoparasites research (16 papers), Immune Response and Inflammation (15 papers), SARS-CoV-2 and COVID-19 Research (15 papers), Escherichia coli research studies (13 papers), Poxvirus research and outbreaks (12 papers), Legionella and Acanthamoeba research (9 papers) and Listeria monocytogenes in Food Safety (9 papers). The work is most often cited by research in Endocrinology (788 citations), Virology (559 citations), Infectious Diseases (1.2k citations), Immunology (1.2k citations) and Microbiology (352 citations). J. Wayne Conlan has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include R J North, Hua Shen, Rhonda KuoLee, Wangxue Chen, Malcolm B. Perry, Anders Sjöstedt, Ann Webb, L.A.E. Ashworth, Evgeny Vinogradov and Xigeng Zhao. Their work appears in journals such as Canadian Journal of Microbiology, Infection and Immunity, Vaccine, Microbial Pathogenesis and Microbiology.
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.