D. Haas
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Polyamine Metabolism and Applications 6
- Bacterial biofilms and quorum sensing 4
- Genetics 8
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Manuela Rella (2 shared papers)Corinne Vander Wauven (2 shared papers)Elisabeth Kay (1 shared paper)André Pierard (1 shared paper)Annick Mercenier (3 shared papers)Victor Stalon (4 shared papers)M. Maurhofer (1 shared paper)Geneviève Défago (1 shared paper)
- Journals
- Journal of Bacteriology (4 papers)Microbiology (4 papers)Gene (2 papers)Journal of Biological Chemistry (2 papers)Plant Pathology (1 paper)
- Partner nations
- SwitzerlandFranceBelgium
In The Last Decade
D. Haas
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Molecular Medicine 172
- Biochemistry 138
- Endocrinology 93
- Genetics 435
- Molecular Biology 742
Countries citing papers authored by D. Haas
This map shows the geographic impact of D. Haas'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 D. Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Haas more than expected).
Fields of papers citing papers by D. Haas
This network shows the impact of papers produced by D. Haas. 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 D. Haas. The network helps show where D. Haas may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Haas, 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 | 1984 | 211 | |
| 2 | 2005 | 185 | |
| 3 | 1995 | 160 | |
| 4 | 1982 | 136 | |
| 5 | 1989 | 96 | |
| 6 | 1980 | 83 | |
| 7 | 1980 | 64 | |
| 8 | 1992 | 59 | |
| 9 | 1977 | 49 | |
| 10 | 1986 | 46 | |
| 11 | 1990 | 27 | |
| 12 | 1990 | 24 | |
| 13 | 1993 | 23 | |
| 14 | 1988 | 20 | |
| 15 | 1996 | 18 | |
| 16 | 1974 | 16 | |
| 17 | 1993 | 15 | |
| 18 | Chromosome organization in Pseudomonas aeruginosa. Clustering and scattering of genes specifying four arginine catabolic pathways. | 1987 | 8 |
| 19 | 1985 | 4 | |
| 20 | 2008 | 2 |
About D. Haas
D. Haas is a scholar working on Molecular Biology, Genetics, Ecology, Biochemistry and Cell Biology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (7 papers), Polyamine Metabolism and Applications (6 papers), Amino Acid Enzymes and Metabolism (6 papers), Bacterial biofilms and quorum sensing (4 papers), Hemoglobin structure and function (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Molecular Medicine (172 citations), Biochemistry (138 citations), Endocrinology (93 citations), Genetics (435 citations) and Molecular Biology (742 citations). D. Haas has collaborated with scholars based in Switzerland, France and Belgium. Frequent co-authors include Manuela Rella, Corinne Vander Wauven, Elisabeth Kay, André Pierard, Annick Mercenier, Victor Stalon, M. Maurhofer, Geneviève Défago, Christoph Keel and J.P. Simon. Their work appears in journals such as Journal of Bacteriology, Microbiology, Gene, Journal of Biological Chemistry and Plant Pathology.
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.