Tom van der Valk
- Genetics top 5%
- Molecular Biology
- Ecology top 10%
- Ecology, Evolution, Behavior and Systematics
- Social Psychology
- Co-authors
- Love DalénKaterina GuschanskiDavid Díez‐del‐MolinoTomàs Marquès‐BonetArie van der MeijdenMarty KardosArun ZachariahAshwin Viswanathan
- Topics
- Genomics and Phylogenetic Studies (11 papers)Genetic diversity and population structure (11 papers)Genetic and phenotypic traits in livestock (9 papers)
- Cited by
- GeneticsEcologyEcological Modeling
- Journals
- CellProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- SwedenUnited StatesDenmark
In The Last Decade
Tom van der Valk
27 papers receiving 533 citations
Peers
Comparison fields: 5 of 63
- Genetics 348
- Molecular Biology 212
- Ecology 174
- Ecology, Evolution, Behavior and Systematics 51
- Social Psychology 46
Countries citing papers authored by Tom van der Valk
This map shows the geographic impact of Tom van der Valk'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 Tom van der Valk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom van der Valk more than expected).
Fields of papers citing papers by Tom van der Valk
This network shows the impact of papers produced by Tom van der Valk. 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 Tom van der Valk. The network helps show where Tom van der Valk may publish in the future.
Co-authorship network of co-authors of Tom van der Valk
This figure shows the co-authorship network connecting the top 25 collaborators of Tom van der Valk. A scholar is included among the top collaborators of Tom van der Valk 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 Tom van der Valk. Tom van der Valk 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 21 | |
| 10 | 12 | |
| 11 | 26 | |
| 12 | 16 | |
| 13 | 4 | |
| 14 | 103 | |
| 15 | 15 | |
| 16 | 27 | |
| 17 | 34 | |
| 18 | 115 | |
| 19 | 26 | |
| 20 | 16 |
About Tom van der Valk
Tom van der Valk is a scholar working on Genetics, Ecology and Archeology, having authored 32 papers that have together received 538 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Genetic diversity and population structure (11 papers) and Genetic and phenotypic traits in livestock (9 papers). The work is most often cited by research in Genetics (348 citations), Ecology (174 citations) and Ecological Modeling (23 citations). Tom van der Valk has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Love Dalén, Katerina Guschanski, David Díez‐del‐Molino, Tomàs Marquès‐Bonet, Arie van der Meijden, Marty Kardos, Arun Zachariah, Ashwin Viswanathan, Udayan Borthakur and Yadvendradev V. Jhala. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.