Denys K. Ford
- Microbiology top 0.5%
- Epidemiology top 5%
- Rheumatology top 2%
- Molecular Biology
- Immunology top 10%
- Co-authors
- George YerganianAubrey J. TingleJ. K. ChantlerMaurice C. ShepardRobert F. WillkensArmin E. GoodAlfonse T. MasiAndrei Călin
- Topics
- Microbial infections and disease research (11 papers)Virology and Viral Diseases (9 papers)Reproductive tract infections research (8 papers)
- Cited by
- MicrobiologyParasitologyRheumatology
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Denys K. Ford
71 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 119
- Microbiology 562
- Epidemiology 524
- Rheumatology 468
- Molecular Biology 321
- Immunology 314
Countries citing papers authored by Denys K. Ford
This map shows the geographic impact of Denys K. Ford'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 Denys K. Ford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denys K. Ford more than expected).
Fields of papers citing papers by Denys K. Ford
This network shows the impact of papers produced by Denys K. Ford. 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 Denys K. Ford. The network helps show where Denys K. Ford may publish in the future.
Co-authorship network of co-authors of Denys K. Ford
This figure shows the co-authorship network connecting the top 25 collaborators of Denys K. Ford. A scholar is included among the top collaborators of Denys K. Ford based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Denys K. Ford. Denys K. Ford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 10 | |
| 6 | 22 | |
| 7 | 29 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | Non-gonococcal urethritis and Reiter's syndrome: personal experience with etiological studies during 15 years. | 11 |
| 14 | Third Canadian Conference on Research in the Rheumatic Diseases | 1 |
| 15 | 30 | |
| 16 | 10 | |
| 17 | 15 | |
| 18 | 7 | |
| 19 | 10 | |
| 20 | Effects of intra-articular hydrocortisone acetate on the clinical course, aminotripeptidase activity and other changes in the synovial fluid in rheumatoid arthritis. | 6 |
About Denys K. Ford
Denys K. Ford is a scholar working on Microbiology, Rheumatology and Parasitology, having authored 71 papers that have together received 2.0k indexed citations. Recurring topics across this work include Microbial infections and disease research (11 papers), Virology and Viral Diseases (9 papers) and Reproductive tract infections research (8 papers). The work is most often cited by research in Microbiology (562 citations), Parasitology (215 citations) and Rheumatology (468 citations). Denys K. Ford has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include George Yerganian, Aubrey J. Tingle, J. K. Chantler, Maurice C. Shepard, Robert F. Willkens, Armin E. Good, Alfonse T. Masi, Andrei Călin, Lloyd D. Fisher and Thomas Bitter. Their work appears in journals such as The Lancet, JAMA and JNCI Journal of the National Cancer Institute.
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.