G. de Jong
About
In The Last Decade
G. de Jong
103 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 109
- Genetics 2.0k
- Agronomy and Crop Science 1.4k
- Animal Science and Zoology 870
- Small Animals 597
- Plant Science 311
Countries citing papers authored by G. de Jong
This map shows the geographic impact of G. de Jong'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 G. de Jong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. de Jong more than expected).
Fields of papers citing papers by G. de Jong
This network shows the impact of papers produced by G. de Jong. 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 G. de Jong. The network helps show where G. de Jong may publish in the future.
Co-authorship network of co-authors of G. de Jong
This figure shows the co-authorship network connecting the top 25 collaborators of G. de Jong. A scholar is included among the top collaborators of G. de Jong 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 G. de Jong. G. de Jong 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 | Validation of genetic evaluation for longevity with a random regression model | 0 |
| 3 | Genetic Evaluation for Ketosis in the Netherlands Based on FTIR Measurements | 10 |
| 4 | Breeding Value for Dry Matter Intake for Dutch Bulls based on DGV for DMI and BV for Predictors | 8 |
| 5 | Genetic evaluation for direct and maternal livability in The Netherlands | 8 |
| 6 | Implementation of a claw health index in The Netherlands | 15 |
| 7 | Predicting mastitis resistance breding values from somatic cell count indicator traits | 4 |
| 8 | From functional to productive longevity in the Netherlands | 8 |
| 9 | Mace with sire-mgs and animal pedigree | 8 |
| 10 | Usage of predictors for fertility in the genetic evaluation, application in the Netherlands | 17 |
| 11 | Using a piecewise Weibull mixed model in the genetic evaluation for longevity | 4 |
| 12 | Multi-country evaluation to study the impact of genotype by model interaction | 1 |
| 13 | Genetic parameters of test-day somatic cell score estimated with a random regression model | 14 |
| 14 | Model validation and rank reduction of covariance matrices in the random regression test-day model in The Netherlands | 1 |
| 15 | Determining changes in definition of conformation traits and the effect on international evaluations | 4 |
| 16 | Production traits European joint evaluation | 9 |
| 17 | The effect of more health traits in DPS on economic selection | 1 |
| 18 | 72 | |
| 19 | Estimation of genetic parameters for persistency of milk production in dairy cattle | 16 |
| 20 | Experience with correction for heterogeneous variance in milk production traits in the Netherlands | 0 |
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.