D. Haas

1.5k citations
20 papers · 1.2k indexed · h-index 16

Impact in

Papers in

D. Haas

20 papers receiving 1.1k citations

Peers

D. Haas
Comparison fields: 5 of 80
  • Molecular Medicine 174
  • Biochemistry 142
  • Endocrinology 94
  • Genetics 439
  • Molecular Biology 765
Replace Ahmed T. Abdelal with:
Ahmed T. Abdelal United States
Dale L. Val United States
Bodo Rak Germany
F. Gasser France
Stanley A. Zahler United States
Tsong‐Teh Kuo Taiwan
Naoki Awano Japan
Boris R. Belitsky United States
Jenny K. Broome‐Smith United Kingdom
Thomas Wiegert Germany
D. Haas relative to Ahmed T. Abdelal United States Ahmed T. Abdelal's profile →
Citations per field
00.5×1.7×
Ahmed T. Abdelal · 1×
Citations per year

Countries citing papers authored by D. Haas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with D. Haas Line = papers co-authored together D. Haas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2005184
2 199618
3 1995159
4 199315
5 199323
6 199259
7 199027
8 199024
9 198996
10 198820
11
Chromosome organization in Pseudomonas aeruginosa. Clustering and scattering of genes specifying four arginine catabolic pathways.
19878
12 198646
13 19854
14 1984209
15 1982136
16 198082
17 198064
18 197749
19 19746
20 197416

About D. Haas

D. Haas is a scholar working on Biochemistry, Molecular Medicine, Genetics, Ecology 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), Amino Acid Enzymes and Metabolism (6 papers), Polyamine Metabolism and Applications (6 papers), Bacterial biofilms and quorum sensing (4 papers), Antibiotic Resistance in Bacteria (3 papers), Hemoglobin structure and function (3 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Molecular Medicine (174 citations), Biochemistry (142 citations), Endocrinology (94 citations), Genetics (439 citations) and Molecular Biology (765 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, Geneviève Défago, Victor Stalon, Christoph Keel, M. Maurhofer and J.P. Simon. Their work appears in journals such as Journal of Bacteriology, Microbiology, Gene, Journal of Biological Chemistry and European Journal of Biochemistry.

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.

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