J. Maat
- Biotechnology top 2%
- Enzyme Production and Characterization 5
- Genetics top 5%
- Virus-based gene therapy research 11
- Molecular Biology top 5%
- Viral Infectious Diseases and Gene Expression in Insects 5
- RNA Interference and Gene Delivery 5
- Fungal and yeast genetics research 4
- Nutrition and Dietetics top 5%
- Plant Science top 5%
- Polysaccharides and Plant Cell Walls 3
-
- Viral gastroenteritis research and epidemiology 6
-
- Biofuel production and bioconversion 3
- Co-authors
- H. van OrmondtChris J. VisserA. de WaardLuppo EdensR. DijkemaAndrew J.H. SmithA.J. van der EbW.Russell McLauchlan
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
J. Maat
32 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 88
- Biotechnology 327
- Genetics 709
- Molecular Biology 1.4k
- Nutrition and Dietetics 181
- Plant Science 388
Countries citing papers authored by J. Maat
This map shows the geographic impact of J. Maat'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. Maat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Maat more than expected).
Fields of papers citing papers by J. Maat
This network shows the impact of papers produced by J. Maat. 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. Maat. The network helps show where J. Maat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Maat, 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 | 1999 | 82 | |
| 2 | 1998 | 41 | |
| 3 | 1998 | 29 | |
| 4 | 1996 | 80 | |
| 5 | 1994 | 49 | |
| 6 | 1993 | 43 | |
| 7 | 1985 | 162 | |
| 8 | 1985 | 92 | |
| 9 | 1984 | 70 | |
| 10 | 1982 | 180 | |
| 11 | 1980 | 67 | |
| 12 | 1980 | 97 | |
| 13 | 1980 | 12 | |
| 14 | 1980 | 24 | |
| 15 | 1979 | 56 | |
| 16 | 1978 | 139 | |
| 17 | 1978 | 22 | |
| 18 | 1978 | 90 | |
| 19 | 1977 | 90 | |
| 20 | 1976 | 9 |
About J. Maat
J. Maat is a scholar working on Biotechnology, Genetics, Molecular Biology, Infectious Diseases and Endocrinology, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Viral gastroenteritis research and epidemiology (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), RNA Interference and Gene Delivery (5 papers), Enzyme Production and Characterization (5 papers), Fungal and yeast genetics research (4 papers), Biofuel production and bioconversion (3 papers) and Polysaccharides and Plant Cell Walls (3 papers). The work is most often cited by research in Biotechnology (327 citations), Genetics (709 citations), Molecular Biology (1.4k citations), Nutrition and Dietetics (181 citations) and Plant Science (388 citations). J. Maat has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include H. van Ormondt, Chris J. Visser, A. de Waard, Luppo Edens, R. Dijkema, Andrew J.H. Smith, A.J. van der Eb, W.Russell McLauchlan, Gary Williamson and María‐Teresa García‐Conesa. Their work appears in journals such as Gene, Nucleic Acids Research, Biochemical Journal, Carbohydrate Polymers and Molecular Microbiology.
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.