J U Que
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in ⓘ
-
- Vibrio bacteria research studies 4
-
- Antibiotic Resistance in Bacteria 5
- Co-authors
- D. J. Hentges (5 shared papers)Stanley J. Cryz (15 shared papers)E Fürer (12 shared papers)S J Cryz (5 shared papers)Aloïs B. Lang (5 shared papers)U. B. Schaad (5 shared papers)Robert Mischler (1 shared paper)B Scarpa (1 shared paper)
- Journals
- Infection and Immunity (9 papers)Vaccine (4 papers)The Journal of Infectious Diseases (4 papers)The Lancet (2 papers)Urban forestry & urban greening (2 papers)
- Partner nations
- SwitzerlandUnited StatesThailand
In The Last Decade
J U Que
26 papers receiving 958 citations
Peers
Comparison fields: 5 of 86
- Endocrinology 177
- Molecular Medicine 146
- Microbiology 95
- Infectious Diseases 252
- Immunology 195
Countries citing papers authored by J U Que
This map shows the geographic impact of J U Que'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 U Que with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J U Que more than expected).
Fields of papers citing papers by J U Que
This network shows the impact of papers produced by J U Que. 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 U Que. The network helps show where J U Que may publish in the future.
Co-authors
The 25 scholars most cited alongside J U Que, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 156 | |
| 2 | 1985 | 106 | |
| 3 | 1985 | 89 | |
| 4 | 1986 | 86 | |
| 5 | 1991 | 68 | |
| 6 | 1992 | 47 | |
| 7 | 1992 | 44 | |
| 8 | 1991 | 44 | |
| 9 | Immunization of cystic fibrosis patients with a Pseudomonas aeruginosa O-polysaccharide-toxin A conjugate vaccine. | 1997 | 39 |
| 10 | 1994 | 37 | |
| 11 | 1991 | 35 | |
| 12 | 1994 | 30 | |
| 13 | 1987 | 30 | |
| 14 | 1990 | 29 | |
| 15 | 1995 | 29 | |
| 16 | 1996 | 27 | |
| 17 | 1991 | 23 | |
| 18 | Elevated levels of maternal anti-tetanus toxin antibodies do not suppress the immune response to a Haemophilus influenzae type b polyribosylphosphate-tetanus toxoid conjugate vaccine. | 2000 | 19 |
| 19 | 1996 | 19 | |
| 20 | 2000 | 17 |
About J U Que
J U Que is a scholar working on Endocrinology, Molecular Medicine, Microbiology, Virology and Food Science, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Antibiotic Resistance in Bacteria (5 papers), Hepatitis B Virus Studies (4 papers), Aquaculture disease management and microbiota (4 papers), Malaria Research and Control (4 papers), Vibrio bacteria research studies (4 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Endocrinology (177 citations), Molecular Medicine (146 citations), Microbiology (95 citations), Infectious Diseases (252 citations) and Immunology (195 citations). J U Que has collaborated with scholars based in Switzerland, United States and Thailand. Frequent co-authors include D. J. Hentges, Stanley J. Cryz, E Fürer, S J Cryz, Aloïs B. Lang, U. B. Schaad, Robert Mischler, B Scarpa, Reinhard Glück and J Wedgwood. Their work appears in journals such as Infection and Immunity, Vaccine, The Journal of Infectious Diseases, The Lancet and Urban forestry & urban greening.
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.