William Moens
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Plant Science top 10%
- Genetically Modified Organisms Research
Papers in
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- CRISPR and Genetic Engineering 6
- Molecular Biology Techniques and Applications 3
- DNA and Nucleic Acid Chemistry 3
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- Genetically Modified Organisms Research 10
- Co-authors
- Jean‐Marc Collard (2 shared papers)JW Fell (1 shared paper)Ken Haynes (1 shared paper)Adinda de Schrijver (2 shared papers)Yann Devos (2 shared papers)Dirk Reheul (1 shared paper)Myriam Sneyers (5 shared papers)Pieter Windels (1 shared paper)
In The Last Decade
William Moens
30 papers receiving 594 citations
Peers
Comparison fields: 5 of 86
- Molecular Medicine 70
- Plant Science 250
- Endocrinology 33
- Pollution 71
- Molecular Biology 361
Countries citing papers authored by William Moens
This map shows the geographic impact of William Moens'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 William Moens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Moens more than expected).
Fields of papers citing papers by William Moens
This network shows the impact of papers produced by William Moens. 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 William Moens. The network helps show where William Moens may publish in the future.
Co-authors
The 25 scholars most cited alongside William Moens, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 104 | |
| 2 | 1995 | 96 | |
| 3 | 1975 | 73 | |
| 4 | 2004 | 51 | |
| 5 | 2008 | 49 | |
| 6 | 2003 | 48 | |
| 7 | 1989 | 38 | |
| 8 | 1978 | 33 | |
| 9 | 1983 | 31 | |
| 10 | 2006 | 25 | |
| 11 | 2004 | 22 | |
| 12 | 2009 | 21 | |
| 13 | 2004 | 9 | |
| 14 | Biosafety Recommendations for the Contained Use of Mycobacterium tuberculosis Complex Isolates in Industrialized Countries. | 2006 | 8 |
| 15 | 2009 | 6 | |
| 16 | 2010 | 6 | |
| 17 | 2007 | 6 | |
| 18 | 2007 | 6 | |
| 19 | 1992 | 5 | |
| 20 | 1986 | 4 |
About William Moens
William Moens is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Infectious Diseases, having authored 30 papers that have together received 657 indexed citations. Recurring topics across this work include Genetically Modified Organisms Research (10 papers), CRISPR and Genetic Engineering (6 papers), Animal Genetics and Reproduction (3 papers), Molecular Biology Techniques and Applications (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Animal Disease Management and Epidemiology (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Molecular Medicine (70 citations), Plant Science (250 citations), Endocrinology (33 citations), Pollution (71 citations) and Molecular Biology (361 citations). William Moens has collaborated with scholars based in Belgium, Italy and France. Frequent co-authors include Jean‐Marc Collard, JW Fell, Ken Haynes, Adinda de Schrijver, Yann Devos, Dirk Reheul, Myriam Sneyers, Pieter Windels, Guy Van den Eede and Sophie Bertrand. Their work appears in journals such as Carcinogenesis, European Food Research and Technology, Current Gene Therapy, Proceedings of the National Academy of Sciences and Microbial Drug Resistance.
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.