J U Que
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Microbiology top 2%
- Bacterial Infections and Vaccines
Papers in
-
- Bacterial Infections and Vaccines 9
-
- Vibrio bacteria research studies 3
- Co-authors
- Stanley J. Cryz (21 shared papers)D. J. Hentges (6 shared papers)E Fürer (12 shared papers)Aloïs B. Lang (5 shared papers)B Scarpa (1 shared paper)Robert Mischler (1 shared paper)Reinhard Glück (1 shared paper)U. B. Schaad (5 shared papers)
- Journals
- Infection and Immunity (9 papers)Vaccine (4 papers)The Journal of Infectious Diseases (4 papers)The Lancet (2 papers)Blood (1 paper)
- Partner nations
- United StatesSwitzerlandThailand
In The Last Decade
J U Que
26 papers receiving 976 citations
Peers
Comparison fields: 5 of 64
- Endocrinology 132
- Microbiology 181
- Immunology 152
- Molecular Medicine 41
- Applied Microbiology and Biotechnology 14
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 | 176 | |
| 2 | 1985 | 121 | |
| 3 | 1985 | 97 | |
| 4 | 1986 | 94 | |
| 5 | 1991 | 75 | |
| 6 | 1992 | 47 | |
| 7 | 1991 | 45 | |
| 8 | 1992 | 41 | |
| 9 | Immunization of cystic fibrosis patients with a Pseudomonas aeruginosa O-polysaccharide-toxin A conjugate vaccine. | 1997 | 41 |
| 10 | 1994 | 39 | |
| 11 | 1991 | 38 | |
| 12 | 1994 | 35 | |
| 13 | 1995 | 35 | |
| 14 | 1987 | 33 | |
| 15 | 1990 | 30 | |
| 16 | 1996 | 29 | |
| 17 | 1991 | 26 | |
| 18 | 1996 | 26 | |
| 19 | 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 | 21 |
| 20 | 2000 | 19 |
About J U Que
J U Que is a scholar working on Microbiology, Endocrinology, Virology, Molecular Biology and Food Science, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (9 papers), Bacterial biofilms and quorum sensing (5 papers), Gut microbiota and health (5 papers), Malaria Research and Control (4 papers), Cystic Fibrosis Research Advances (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Vibrio bacteria research studies (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Endocrinology (132 citations), Microbiology (181 citations), Immunology (152 citations), Molecular Medicine (41 citations) and Applied Microbiology and Biotechnology (14 citations). J U Que has collaborated with scholars based in United States, Switzerland and Thailand. Frequent co-authors include Stanley J. Cryz, D. J. Hentges, E Fürer, Aloïs B. Lang, B Scarpa, Robert Mischler, Reinhard Glück, U. B. Schaad, Joanna Wedgwood and Anna Rüdeberg. Their work appears in journals such as Infection and Immunity, Vaccine, The Journal of Infectious Diseases, The Lancet and Blood.
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.