Annelie Everts-van der Wind
- Genetics top 5%
- Plant Science top 10%
- Molecular Biology
- Cancer Research
- Agronomy and Crop Science top 10%
- Co-authors
- Harris A. LewinDenis M. LarkinMark R. BandJun Heon LeeMicha RonEyal SeroussiMiri CohenJ.I. Weller
- Topics
- Chromosomal and Genetic Variations (4 papers)Genetic Mapping and Diversity in Plants and Animals (4 papers)Genetic and phenotypic traits in livestock (3 papers)
- Partner nations
- United StatesIsraelIran
In The Last Decade
Annelie Everts-van der Wind
11 papers receiving 727 citations
Peers
Comparison fields: 5 of 73
- Genetics 576
- Plant Science 214
- Molecular Biology 211
- Cancer Research 132
- Agronomy and Crop Science 84
Countries citing papers authored by Annelie Everts-van der Wind
This map shows the geographic impact of Annelie Everts-van der Wind'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 Annelie Everts-van der Wind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annelie Everts-van der Wind more than expected).
Fields of papers citing papers by Annelie Everts-van der Wind
This network shows the impact of papers produced by Annelie Everts-van der Wind. 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 Annelie Everts-van der Wind. The network helps show where Annelie Everts-van der Wind may publish in the future.
Co-authorship network of co-authors of Annelie Everts-van der Wind
This figure shows the co-authorship network connecting the top 25 collaborators of Annelie Everts-van der Wind. A scholar is included among the top collaborators of Annelie Everts-van der Wind 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 Annelie Everts-van der Wind. Annelie Everts-van der Wind is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 29 | |
| 4 | 308 | |
| 5 | 100 | |
| 6 | 7 | |
| 7 | 50 | |
| 8 | 110 | |
| 9 | 116 | |
| 10 | Clinical applications of the thyroidal I131 uptake test in the dog. | 11 |
| 11 | Aortic thrombosis with posterior paralysis in the cat. | 12 |
| 12 | Arterial thrombosis and thyroid carcinoma in a cat. | 1 |
About Annelie Everts-van der Wind
Annelie Everts-van der Wind is a scholar working on Genetics, Small Animals and Plant Science, having authored 12 papers that have together received 755 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Genetics (576 citations), Cancer Research (132 citations) and Agronomy and Crop Science (84 citations). Annelie Everts-van der Wind has collaborated with scholars based in United States, Israel and Iran. Frequent co-authors include Harris A. Lewin, Denis M. Larkin, Mark R. Band, Jun Heon Lee, Micha Ron, Eyal Seroussi, Miri Cohen, J.I. Weller, Moshe Shani and James E. Womack. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Genome 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.