W M Johnson
Impact in
- Endocrinology top 0.1%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Infectious Diseases top 0.5%
- Viral gastroenteritis research and epidemiology
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- Escherichia coli research studies 21
- Vibrio bacteria research studies 6
- Co-authors
- H. LiorShaun TylerK. R. RozeeManisha MehrotraGehua WangD. R. PollardDavid L. WoodwardRasik Khakhria
- Journals
- Journal of Clinical Microbiology (28 papers)Microbial Pathogenesis (3 papers)Infection and Immunity (3 papers)Epidemiology and Infection (3 papers)The Journal of Infectious Diseases (3 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
W M Johnson
74 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Endocrinology 1.6k
- Infectious Diseases 2.1k
- Food Science 1.5k
- Biotechnology 549
- Microbiology 296
Countries citing papers authored by W M Johnson
This map shows the geographic impact of W M Johnson'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 W M Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W M Johnson more than expected).
Fields of papers citing papers by W M Johnson
This network shows the impact of papers produced by W M Johnson. 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 W M Johnson. The network helps show where W M Johnson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside W M Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Physician-patient communication: breaking bad news. | 2012 | 14 |
| 2 | 2008 | 19 | |
| 3 | 2000 | 47 | |
| 4 | 2000 | 18 | |
| 5 | 1998 | 13 | |
| 6 | 1998 | 52 | |
| 7 | 1997 | 6 | |
| 8 | 1997 | 14 | |
| 9 | 1997 | 69 | |
| 10 | 1996 | 6 | |
| 11 | RD heparin compared with warfarin for prevention of venous thromboembolic disease following total hip or knee arthroplasty | 1994 | 89 |
| 12 | 1994 | 112 | |
| 13 | 1994 | 4 | |
| 14 | 1992 | 18 | |
| 15 | 1991 | 14 | |
| 16 | 1988 | 136 | |
| 17 | 1988 | 214 | |
| 18 | 1988 | 172 | |
| 19 | 1987 | 104 | |
| 20 | 1987 | 3 |
About W M Johnson
W M Johnson is a scholar working on Endocrinology, Microbiology, Infectious Diseases, Microbiology and Food Science, having authored 74 papers that have together received 4.5k indexed citations. Recurring topics across this work include Escherichia coli research studies (21 papers), Salmonella and Campylobacter epidemiology (17 papers), Viral gastroenteritis research and epidemiology (15 papers), Bacteriophages and microbial interactions (14 papers), Aquaculture disease management and microbiota (11 papers), Bacterial Genetics and Biotechnology (10 papers), Vibrio bacteria research studies (6 papers) and Plant Pathogenic Bacteria Studies (5 papers). The work is most often cited by research in Endocrinology (1.6k citations), Infectious Diseases (2.1k citations), Food Science (1.5k citations), Biotechnology (549 citations) and Microbiology (296 citations). W M Johnson has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include H. Lior, Shaun Tyler, K. R. Rozee, Manisha Mehrotra, Gehua Wang, D. R. Pollard, David L. Woodward, Rasik Khakhria, F. E. Ashton and Kevin Tyler. Their work appears in journals such as Journal of Clinical Microbiology, Microbial Pathogenesis, Infection and Immunity, Epidemiology and Infection and The Journal of Infectious Diseases.
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.