R Schukkink
- Virology top 5%
- HIV Research and Treatment 3
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 2
- Endocrinology top 10%
- Enterobacteriaceae and Cronobacter Research 2
- Epidemiology top 10%
- Mycobacterium research and diagnosis 4
- Food Science top 10%
- Salmonella and Campylobacter epidemiology 4
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- Bacteriophages and microbial interactions 3
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- Genomics and Phylogenetic Studies 3
- Molecular Biology Techniques and Applications 2
- Co-authors
- Bob van GemenDianne van StrijpPeter LensTim KievitsRoy SooknananHenriëtte AdriaansePaul R. KlatserMieke Uyttendaele
- Journals
- Applied and Environmental Microbiology (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)International Journal of Food Microbiology (1 paper)
- Partner nations
- NetherlandsBelgiumCanada
In The Last Decade
R Schukkink
16 papers receiving 847 citations
Peers
Comparison fields: 5 of 79
- Virology 217
- Infectious Diseases 401
- Endocrinology 48
- Epidemiology 310
- Food Science 126
Countries citing papers authored by R Schukkink
This map shows the geographic impact of R Schukkink'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 R Schukkink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Schukkink more than expected).
Fields of papers citing papers by R Schukkink
This network shows the impact of papers produced by R Schukkink. 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 R Schukkink. The network helps show where R Schukkink may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R Schukkink, 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 | 1999 | 33 | |
| 2 | 1998 | 23 | |
| 3 | 1997 | 13 | |
| 4 | 1996 | 15 | |
| 5 | 1996 | 9 | |
| 6 | Use of NASBA RNA amplification for detection of Mycobacterium leprae in skin biopsies from untreated and treated leprosy patients. | 1996 | 19 |
| 7 | Comparison of a nucleic acid amplification system NASBA and agar isolation for detection of pathogenic campylobacters in poultry | 1995 | 4 |
| 8 | 1995 | 32 | |
| 9 | 1995 | 46 | |
| 10 | 1995 | 8 | |
| 11 | 1994 | 41 | |
| 12 | 1994 | 91 | |
| 13 | 1993 | 41 | |
| 14 | 1993 | 106 | |
| 15 | 1993 | 104 | |
| 16 | 1991 | 320 |
About R Schukkink
R Schukkink is a scholar working on Virology, Endocrinology and Infectious Diseases, having authored 16 papers that have together received 905 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers), HIV Research and Treatment (3 papers), Bacteriophages and microbial interactions (3 papers), Genomics and Phylogenetic Studies (3 papers), Enterobacteriaceae and Cronobacter Research (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Virology (217 citations), Infectious Diseases (401 citations) and Endocrinology (48 citations). R Schukkink has collaborated with scholars based in Netherlands, Belgium and Canada. Frequent co-authors include Bob van Gemen, Dianne van Strijp, Peter Lens, Tim Kievits, Roy Sooknanan, Henriëtte Adriaanse, Paul R. Klatser, Mieke Uyttendaele, Han G. Huisman and J. Debevere. Their work appears in journals such as Applied and Environmental Microbiology, Antimicrobial Agents and Chemotherapy and International Journal of Food 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.