Raymond H.J. Staals
- Molecular Biology top 2%
- Ecology top 2%
- Genetics top 5%
- Insect Science top 1%
- Endocrinology top 1%
- Co-authors
- Peter C. FineranJohn van der OostStan J. J. BrounsBridget N. J. WatsonEdze R. WestraChris M. BrownCorinda TaylorMatthijs M. Jore
- Topics
- CRISPR and Genetic Engineering (38 papers)Insect symbiosis and bacterial influences (14 papers)RNA and protein synthesis mechanisms (12 papers)
- Partner nations
- NetherlandsNew ZealandUnited States
In The Last Decade
Raymond H.J. Staals
41 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 3.0k
- Ecology 873
- Genetics 663
- Insect Science 592
- Endocrinology 453
Countries citing papers authored by Raymond H.J. Staals
This map shows the geographic impact of Raymond H.J. Staals'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 Raymond H.J. Staals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond H.J. Staals more than expected).
Fields of papers citing papers by Raymond H.J. Staals
This network shows the impact of papers produced by Raymond H.J. Staals. 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 Raymond H.J. Staals. The network helps show where Raymond H.J. Staals may publish in the future.
Co-authorship network of co-authors of Raymond H.J. Staals
This figure shows the co-authorship network connecting the top 25 collaborators of Raymond H.J. Staals. A scholar is included among the top collaborators of Raymond H.J. Staals based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raymond H.J. Staals. Raymond H.J. Staals is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 48 | |
| 6 | 14 | |
| 7 | 62 | |
| 8 | 27 | |
| 9 | 60 | |
| 10 | 43 | |
| 11 | 240 | |
| 12 | 107 | |
| 13 | 163 | |
| 14 | 234 | |
| 15 | 22 | |
| 16 | 24 | |
| 17 | 30 | |
| 18 | CRISPR Immunity Relies on the Consecutive Binding and Degradation of Negatively Supercoiled Invader DNA by Cascade and Cas3breakdown → | 410 |
| 19 | 53 | |
| 20 | 115 |
About Raymond H.J. Staals
Raymond H.J. Staals is a scholar working on Business and International Management, Insect Science and Endocrinology, having authored 44 papers that have together received 3.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (38 papers), Insect symbiosis and bacterial influences (14 papers) and RNA and protein synthesis mechanisms (12 papers). The work is most often cited by research in Business and International Management (286 citations), Endocrinology (453 citations) and Insect Science (592 citations). Raymond H.J. Staals has collaborated with scholars based in Netherlands, New Zealand and United States. Frequent co-authors include Peter C. Fineran, John van der Oost, Stan J. J. Brouns, Bridget N. J. Watson, Edze R. Westra, Chris M. Brown, Corinda Taylor, Matthijs M. Jore, Ger J.M. Pruijn and Tim Künne. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.