Matthijs M. Jore
- Molecular Biology top 1%
- Genetics top 1%
- Ecology top 2%
- Insect Science top 0.5%
- Epidemiology top 5%
- Co-authors
- John van der OostStan J. J. BrounsEdze R. WestraMagnus LundgrenAmbrosius P. SnijdersMark J. DickmanKira S. MakarovaEugene V. Koonin
- Topics
- Malaria Research and Control (20 papers)Mosquito-borne diseases and control (13 papers)CRISPR and Genetic Engineering (10 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Matthijs M. Jore
37 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 4.8k
- Genetics 1.3k
- Ecology 1.1k
- Insect Science 772
- Epidemiology 530
Countries citing papers authored by Matthijs M. Jore
This map shows the geographic impact of Matthijs M. Jore'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 Matthijs M. Jore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthijs M. Jore more than expected).
Fields of papers citing papers by Matthijs M. Jore
This network shows the impact of papers produced by Matthijs M. Jore. 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 Matthijs M. Jore. The network helps show where Matthijs M. Jore may publish in the future.
Co-authorship network of co-authors of Matthijs M. Jore
This figure shows the co-authorship network connecting the top 25 collaborators of Matthijs M. Jore. A scholar is included among the top collaborators of Matthijs M. Jore 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 Matthijs M. Jore. Matthijs M. Jore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 12 | |
| 10 | 18 | |
| 11 | 21 | |
| 12 | 5 | |
| 13 | 27 | |
| 14 | 56 | |
| 15 | 50 | |
| 16 | 6 | |
| 17 | 35 | |
| 18 | DNA-guided DNA interference by a prokaryotic Argonautebreakdown → | 359 |
| 19 | CRISPR Immunity Relies on the Consecutive Binding and Degradation of Negatively Supercoiled Invader DNA by Cascade and Cas3breakdown → | 410 |
| 20 | 67 |
About Matthijs M. Jore
Matthijs M. Jore is a scholar working on Virology, Public Health, Environmental and Occupational Health and Immunology, having authored 37 papers that have together received 5.5k indexed citations. Recurring topics across this work include Malaria Research and Control (20 papers), Mosquito-borne diseases and control (13 papers) and CRISPR and Genetic Engineering (10 papers). The work is most often cited by research in Business and International Management (443 citations), Aging (189 citations) and Endocrinology (440 citations). Matthijs M. Jore has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include John van der Oost, Stan J. J. Brouns, Edze R. Westra, Magnus Lundgren, Ambrosius P. Snijders, Mark J. Dickman, Kira S. Makarova, Eugene V. Koonin, Ekaterina Semenova and Konstantin Severinov. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.