P E de Haas
Impact in
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology
- Epidemiology top 1%
- Mycobacterium research and diagnosis
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in
-
- Tuberculosis Research and Epidemiology 12
- Epidemiology 12
- Mycobacterium research and diagnosis 11
- Pneumocystis jirovecii pneumonia detection and treatment 1
- Co-authors
- Dick van Soolingen (12 shared papers)J D van Embden (10 shared papers)Peter W. M. Hermans (6 shared papers)David R. Soll (1 shared paper)Pascal M.W. Groenen (1 shared paper)Lishi Qian (1 shared paper)Pagbajabyn Nymadawa (1 shared paper)H. Traore (1 shared paper)
- Journals
- Journal of Clinical Microbiology (8 papers)Journal of Bacteriology (1 paper)Microbiology (1 paper)Infection and Immunity (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- NetherlandsGuinea-BissauDenmark
In The Last Decade
P E de Haas
12 papers receiving 2.6k citations
P E de Haas's Hit Papers
Peers
Comparison fields: 5 of 78
- Infectious Diseases 2.4k
- Epidemiology 2.3k
- Molecular Medicine 148
- Surgery 1.3k
- Microbiology 12
Countries citing papers authored by P E de Haas
This map shows the geographic impact of P E de 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 P E de Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P E de Haas more than expected).
Fields of papers citing papers by P E de Haas
This network shows the impact of papers produced by P E de 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 P E de Haas. The network helps show where P E de Haas may publish in the future.
Co-authors
The 25 scholars most cited alongside P E de 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 | Occurrence and stability of insertion sequences in Mycobacterium tuberculosis complex strains: evaluation of an insertion sequence-dependent DNA polymorphism as a tool in the epidemiology of tuberculosis Hit paper breakdown → | 1991 | 845 |
| 2 | Predominance of a single genotype of Mycobacterium tuberculosis in countries of east Asia Hit paper breakdown → | 1995 | 583 |
| 3 | 1993 | 406 | |
| 4 | 1991 | 314 | |
| 5 | 1994 | 144 | |
| 6 | 1992 | 110 | |
| 7 | 1995 | 70 | |
| 8 | 1994 | 68 | |
| 9 | 1995 | 51 | |
| 10 | 2004 | 34 | |
| 11 | 2014 | 26 | |
| 12 | 1996 | 14 |
About P E de Haas
P E de Haas is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Medicine and Molecular Biology, having authored 12 papers that have together received 2.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (11 papers), Infectious Diseases and Tuberculosis (3 papers), Antibiotic Resistance in Bacteria (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), RNA and protein synthesis mechanisms (2 papers), Bacteriophages and microbial interactions (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Infectious Diseases (2.4k citations), Epidemiology (2.3k citations), Molecular Medicine (148 citations), Surgery (1.3k citations) and Microbiology (12 citations). P E de Haas has collaborated with scholars based in Netherlands, Guinea-Bissau and Denmark. Frequent co-authors include Dick van Soolingen, J D van Embden, Peter W. M. Hermans, David R. Soll, Pascal M.W. Groenen, Lishi Qian, Pagbajabyn Nymadawa, H. Traore, James T. Douglas and Françoise Portaels. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Bacteriology, Microbiology, Infection and Immunity and Molecular & Cellular Proteomics.
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.