J Kwapinski
Impact in
- Microbiology top 1%
- Actinomycetales infections and treatment
- Small Animals top 5%
- Infectious Diseases and Mycology
Papers in
- Epidemiology 24
- Mycobacterium research and diagnosis 18
- Fungal Infections and Studies 6
-
- Infectious Diseases and Mycology 18
- Co-authors
- Parker R. Beamer (1 shared paper)Louis Keith (1 shared paper)Eric Brown (1 shared paper)S. R. Pattyn (3 shared papers)M Tsukamura (3 shared papers)C. McDURMONT (2 shared papers)J.L. Stanford (2 shared papers)Ruth Gordon (2 shared papers)
- Journals
- Canadian Journal of Microbiology (19 papers)Journal of Bacteriology (5 papers)Antonie van Leeuwenhoek (2 papers)Mycopathologia (1 paper)Pathobiology (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
J Kwapinski
35 papers receiving 373 citations
Peers
Comparison fields: 5 of 73
- Microbiology 76
- Small Animals 104
- Epidemiology 285
- Infectious Diseases 114
- Microbiology 25
Countries citing papers authored by J Kwapinski
This map shows the geographic impact of J Kwapinski'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 Kwapinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Kwapinski more than expected).
Fields of papers citing papers by J Kwapinski
This network shows the impact of papers produced by J Kwapinski. 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 Kwapinski. The network helps show where J Kwapinski may publish in the future.
Co-authors
The 25 scholars most cited alongside J Kwapinski, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1972 | 115 | |
| 2 | Frequency of fish tumors found in a polluted watershed as compared to nonpolluted Canadian waters. | 1973 | 95 |
| 3 | 1967 | 46 | |
| 4 | 1977 | 44 | |
| 5 | 1971 | 33 | |
| 6 | 1974 | 10 | |
| 7 | 1972 | 10 | |
| 8 | Serological taxonomy and relationships of Actinomycetales. | 1970 | 9 |
| 9 | 1964 | 9 | |
| 10 | 1969 | 9 | |
| 11 | 1960 | 9 | |
| 12 | 1959 | 8 | |
| 13 | 1970 | 8 | |
| 14 | 1961 | 8 | |
| 15 | 1967 | 8 | |
| 16 | 1970 | 8 | |
| 17 | 1968 | 7 | |
| 18 | 1973 | 7 | |
| 19 | 1964 | 7 | |
| 20 | 1963 | 6 |
About J Kwapinski
J Kwapinski is a scholar working on Epidemiology, Small Animals, Microbiology, Infectious Diseases and Molecular Biology, having authored 40 papers that have together received 501 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (18 papers), Infectious Diseases and Mycology (18 papers), Actinomycetales infections and treatment (13 papers), Fungal Infections and Studies (6 papers), Leprosy Research and Treatment (5 papers), Tuberculosis Research and Epidemiology (4 papers), Bacteriophages and microbial interactions (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Microbiology (76 citations), Small Animals (104 citations), Epidemiology (285 citations), Infectious Diseases (114 citations) and Microbiology (25 citations). J Kwapinski has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Parker R. Beamer, Louis Keith, Eric Brown, S. R. Pattyn, M Tsukamura, C. McDURMONT, J.L. Stanford, Ruth Gordon, Hajime Saito and P. A. Jenkins. Their work appears in journals such as Canadian Journal of Microbiology, Journal of Bacteriology, Antonie van Leeuwenhoek, Mycopathologia and Pathobiology.
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.