Tom van der Valk

2.2k total citations
32 papers, 538 citations indexed

About

Tom van der Valk is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Tom van der Valk has authored 32 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 18 papers in Molecular Biology and 9 papers in Ecology. Recurrent topics in Tom van der Valk's work include Genomics and Phylogenetic Studies (11 papers), Genetic diversity and population structure (11 papers) and Genetic and phenotypic traits in livestock (9 papers). Tom van der Valk is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Genetic diversity and population structure (11 papers) and Genetic and phenotypic traits in livestock (9 papers). Tom van der Valk collaborates with scholars based in Sweden, United States and Denmark. Tom van der Valk's 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 and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Tom van der Valk

27 papers receiving 533 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom van der Valk Sweden 14 348 212 174 51 46 32 538
Christina Hvilsom Denmark 15 364 1.0× 272 1.3× 131 0.8× 77 1.5× 94 2.0× 29 665
Annabel C. Beichman United States 11 308 0.9× 262 1.2× 190 1.1× 46 0.9× 21 0.5× 17 585
Paolo Martelli United States 8 306 0.9× 151 0.7× 168 1.0× 41 0.8× 33 0.7× 13 430
Pedro Silva Portugal 9 364 1.0× 103 0.5× 249 1.4× 54 1.1× 31 0.7× 11 504
Tobias Bidon Germany 9 327 0.9× 175 0.8× 288 1.7× 87 1.7× 31 0.7× 9 553
Junghwa An South Korea 12 311 0.9× 202 1.0× 237 1.4× 67 1.3× 13 0.3× 61 524
Gono Semiadi Indonesia 13 218 0.6× 85 0.4× 265 1.5× 51 1.0× 65 1.4× 69 535
Huizhong Fan China 11 306 0.9× 123 0.6× 145 0.8× 59 1.2× 16 0.3× 25 514
Pavel Dobrynin Russia 10 166 0.5× 157 0.7× 85 0.5× 29 0.6× 13 0.3× 27 376
Daniel W. Förster Germany 13 319 0.9× 188 0.9× 306 1.8× 40 0.8× 8 0.2× 27 493

Countries citing papers authored by Tom van der Valk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Dussex, Nicolás, Tom van der Valk, Craig Packer, et al.. (2025). Constraints to gene flow increase the risk of genome erosion in the Ngorongoro Crater lion population. Communications Biology. 8(1). 640–640.
3.
Bálint, Miklós, Frank Kienast, Pavel A. Nikolskiy, et al.. (2025). Metagenomic insights into the diet and past Kolyma Lowland habitat from the intestinal content of a Late Pleistocene steppe bison. Quaternary Science Reviews. 369. 109604–109604.
4.
Valk, Tom van der, et al.. (2025). Metagenomic biodiversity assessment within an offshore wind farm. Scientific Reports. 15(1). 16786–16786. 1 indexed citations
5.
Valk, Tom van der & Love Dalén. (2024). From genomic threat assessment to conservation action. Cell. 187(5). 1038–1041. 5 indexed citations
6.
Valk, Tom van der, Axel Jensen, Damien Caillaud, & Katerina Guschanski. (2024). Comparative genomic analyses provide new insights into evolutionary history and conservation genomics of gorillas. SHILAP Revista de lepidopterología. 24(1). 14–14. 3 indexed citations
7.
8.
Dussex, Nicolás, Ole K. Tørresen, Tom van der Valk, et al.. (2023). Adaptation to the High-Arctic island environment despite long-term reduced genetic variation in Svalbard reindeer. iScience. 26(10). 107811–107811. 9 indexed citations
9.
Vicente, Mário, Thijessen Naidoo, Tom van der Valk, et al.. (2023). aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow. Genome biology. 24(1). 242–242. 21 indexed citations
10.
Díez‐del‐Molino, David, Marianne Dehasque, Juan Camilo Chacón-Duque, et al.. (2023). Genomics of adaptive evolution in the woolly mammoth. Current Biology. 33(9). 1753–1764.e4. 12 indexed citations
11.
Kutschera, Verena E., Marcin Kierczak, Tom van der Valk, et al.. (2022). GenErode: a bioinformatics pipeline to investigate genome erosion in endangered and extinct species. BMC Bioinformatics. 23(1). 228–228. 26 indexed citations
12.
Seth, Johanna von, Tom van der Valk, Hanna Sigeman, et al.. (2022). Genomic trajectories of a near-extinction event in the Chatham Island black robin. BMC Genomics. 23(1). 747–747. 16 indexed citations
13.
Valk, Tom van der, Marianne Dehasque, Juan Camilo Chacón-Duque, et al.. (2022). Evolutionary consequences of genomic deletions and insertions in the woolly mammoth genome. iScience. 25(8). 104826–104826. 4 indexed citations
14.
Khan, Anubhab, Ashwin Viswanathan, Tom van der Valk, et al.. (2021). Genomic evidence for inbreeding depression and purging of deleterious genetic variation in Indian tigers. Proceedings of the National Academy of Sciences. 118(49). 103 indexed citations
15.
Feuerborn, Tatiana R., Eleftheria Palkopoulou, Tom van der Valk, et al.. (2020). Competitive mapping allows for the identification and exclusion of human DNA contamination in ancient faunal genomic datasets. BMC Genomics. 21(1). 844–844. 15 indexed citations
16.
Valk, Tom van der, Itzel Sifuentes‐Romero, Térese B. Hart, et al.. (2019). The Genome of the Endangered Dryas Monkey Provides New Insights into the Evolutionary History of the Vervets. Molecular Biology and Evolution. 37(1). 183–194. 27 indexed citations
17.
Brealey, Jaelle C., Tom van der Valk, Antton Alberdi, et al.. (2018). Host‐derived population genomics data provides insights into bacterial and diatom composition of the killer whale skin. Molecular Ecology. 28(2). 484–502. 34 indexed citations
18.
Valk, Tom van der, David Díez‐del‐Molino, Tomàs Marquès‐Bonet, Katerina Guschanski, & Love Dalén. (2018). Historical Genomes Reveal the Genomic Consequences of Recent Population Decline in Eastern Gorillas. Current Biology. 29(1). 165–170.e6. 115 indexed citations
19.
Valk, Tom van der, Edson Sandoval‐Castellanos, Damien Caillaud, et al.. (2018). Significant loss of mitochondrial diversity within the last century due to extinction of peripheral populations in eastern gorillas. Scientific Reports. 8(1). 6551–6551. 26 indexed citations
20.
Valk, Tom van der & Arie van der Meijden. (2014). Toxicity of scorpion venom in chick embryo and mealworm assay depending on the use of the soluble fraction versus the whole venom. Toxicon. 88. 38–43. 16 indexed citations

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.

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