Jan E. Kammenga

7.7k total citations
128 papers, 4.8k citations indexed

About

Jan E. Kammenga is a scholar working on Aging, Genetics and Molecular Biology. According to data from OpenAlex, Jan E. Kammenga has authored 128 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Aging, 41 papers in Genetics and 37 papers in Molecular Biology. Recurrent topics in Jan E. Kammenga's work include Genetics, Aging, and Longevity in Model Organisms (75 papers), Evolution and Genetic Dynamics (30 papers) and Genetic Mapping and Diversity in Plants and Animals (18 papers). Jan E. Kammenga is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (75 papers), Evolution and Genetic Dynamics (30 papers) and Genetic Mapping and Diversity in Plants and Animals (18 papers). Jan E. Kammenga collaborates with scholars based in Netherlands, United Kingdom and United States. Jan E. Kammenga's co-authors include Basten L. Snoek, Joost A. G. Riksen, Martijs J. Jonker, Claus Svendsen, Mark G. Sterken, Jaap Bakker, Ryszard Laskowski, Marina Bongers, Jacques J.M. Bedaux and G.W. Korthals and has published in prestigious journals such as Nucleic Acids Research, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Jan E. Kammenga

124 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan E. Kammenga Netherlands 41 1.7k 1.2k 1.2k 1.2k 1.1k 128 4.8k
Liesbet Temmerman Belgium 35 630 0.4× 408 0.3× 783 0.6× 176 0.1× 1.1k 1.1× 101 3.5k
Dietmar Kültz United States 41 226 0.1× 561 0.5× 2.4k 1.9× 424 0.4× 364 0.3× 123 6.5k
Terry W. Snell United States 48 242 0.1× 2.8k 2.3× 554 0.5× 565 0.5× 255 0.2× 181 7.2k
Peter Kille United Kingdom 50 123 0.1× 3.2k 2.6× 1.5k 1.2× 425 0.4× 664 0.6× 207 7.0k
George K. Iwama Canada 51 204 0.1× 1.1k 0.9× 1.4k 1.1× 697 0.6× 238 0.2× 128 11.6k
Basten L. Snoek Netherlands 36 1.1k 0.6× 59 0.0× 1.8k 1.4× 984 0.8× 1.9k 1.7× 104 4.2k
Jae‐Sung Rhee South Korea 39 82 0.0× 2.3k 1.9× 1.6k 1.3× 282 0.2× 266 0.2× 238 5.2k
Liqiao Chen China 58 51 0.0× 965 0.8× 2.2k 1.8× 496 0.4× 745 0.7× 487 12.6k
Keith Choe United States 25 650 0.4× 450 0.4× 786 0.6× 118 0.1× 97 0.1× 49 3.7k
Mark E. Hahn United States 56 67 0.0× 6.5k 5.2× 2.0k 1.6× 727 0.6× 271 0.3× 202 10.2k

Countries citing papers authored by Jan E. Kammenga

Since Specialization
Citations

This map shows the geographic impact of Jan E. Kammenga'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 Jan E. Kammenga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan E. Kammenga more than expected).

Fields of papers citing papers by Jan E. Kammenga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan E. Kammenga. 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 Jan E. Kammenga. The network helps show where Jan E. Kammenga may publish in the future.

Co-authorship network of co-authors of Jan E. Kammenga

This figure shows the co-authorship network connecting the top 25 collaborators of Jan E. Kammenga. A scholar is included among the top collaborators of Jan E. Kammenga 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 Jan E. Kammenga. Jan E. Kammenga 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.
Kammenga, Jan E., et al.. (2025). Early life developmental effects induced by dioxins and PCBs in novel bioassays with C. elegans. Environmental Toxicology and Pharmacology. 116. 104697–104697.
2.
Huang, Yuqing, Yuzhi Chen, Joost A. G. Riksen, et al.. (2024). eQTL mapping in transgenic alpha-synuclein carrying Caenorhabditis elegans recombinant inbred lines. Human Molecular Genetics. 33(24). 2123–2132.
3.
Davies, Andrew G., Mark G. Sterken, Laura D. Mathies, et al.. (2023). Natural allelic variation modifies acute ethanol response phenotypes in wild strains of C. elegans. Alcohol Clinical and Experimental Research. 47(8). 1505–1517. 2 indexed citations
4.
Riksen, Joost A. G., Mark Elvin, Gino Poulin, et al.. (2023). Cryptic genetic variation of expression quantitative trait locus architecture revealed by genetic perturbation in Caenorhabditis elegans. G3 Genes Genomes Genetics. 13(5). 2 indexed citations
5.
Sterken, Mark G., Mitra Gultom, Joost A. G. Riksen, et al.. (2021). Punctuated Loci on Chromosome IV Determine Natural Variation in Orsay Virus Susceptibility of Caenorhabditis elegans Strains Bristol N2 and Hawaiian CB4856. Journal of Virology. 95(12). 12 indexed citations
6.
Molenaars, Marte, Bauke V. Schomakers, Hyung L. Elfrink, et al.. (2021). Metabolomics and lipidomics in Caenorhabditis elegans using a single-sample preparation. Disease Models & Mechanisms. 14(4). 33 indexed citations
7.
Snoek, Basten L., Mark G. Sterken, Harm Nijveen, et al.. (2021). The genetics of gene expression in a Caenorhabditis elegans multiparental recombinant inbred line population. G3 Genes Genomes Genetics. 11(10). 5 indexed citations
8.
Snoek, Basten L., et al.. (2019). WormQTL2: an interactive platform for systems genetics in Caenorhabditis elegans. Database. 2020. 16 indexed citations
9.
Lee, Daehan, Stefan Zdraljevic, Daniel E. Cook, et al.. (2019). Selection and gene flow shape niche-associated variation in pheromone response. Nature Ecology & Evolution. 3(10). 1455–1463. 37 indexed citations
10.
Kammenga, Jan E., et al.. (2019). The hypoxia-response pathway modulates RAS/MAPK–mediated cell fate decisions inCaenorhabditis elegans. Life Science Alliance. 2(3). e201800255–e201800255. 12 indexed citations
11.
O’Donnell, Michael P., et al.. (2018). Rictor/TORC2 mediates gut-to-brain signaling in the regulation of phenotypic plasticity in C. elegans. PLoS Genetics. 14(2). e1007213–e1007213. 35 indexed citations
12.
Sterken, Mark G., Joost A. G. Riksen, Miriam Rodríguez, et al.. (2017). Ras/MAPK Modifier Loci Revealed by eQTL in Caenorhabditis elegans. G3 Genes Genomes Genetics. 7(9). 3185–3193. 18 indexed citations
13.
Zych, Konrad, Basten L. Snoek, Mark Elvin, et al.. (2017). reGenotyper: Detecting mislabeled samples in genetic data. PLoS ONE. 12(2). e0171324–e0171324. 11 indexed citations
14.
Nijveen, Harm, Wilco Ligterink, Joost J. B. Keurentjes, et al.. (2016). AraQTL – workbench and archive for systems genetics in Arabidopsis thaliana. The Plant Journal. 89(6). 1225–1235. 13 indexed citations
15.
Snoek, Basten L., Jonas Grossmann, Rita Volkers, et al.. (2016). Natural Genetic Variation Differentially Affects the Proteome and Transcriptome in Caenorhabditis elegans. Molecular & Cellular Proteomics. 15(5). 1670–1680. 19 indexed citations
16.
Nechaev, Sergei, et al.. (2015). On predicting regulatory genes by analysis of functional networks in C. elegans. BioData Mining. 8(1). 33–33. 3 indexed citations
17.
Wiratno, Wiratno, et al.. (2009). Nematicidal Activity of Plant Extracts Against the Root-Knot Nematode, Meloidogyne incognita. Socio-Environmental Systems Modeling. 2(1). 77–85. 65 indexed citations
18.
Kammenga, Jan E. & Ryszard Laskowski. (2000). Demography in Ecotoxicology. Socio-Environmental Systems Modeling. 144 indexed citations
19.
Straalen, Nico M. van & Jan E. Kammenga. (1997). Assessment of Ecotoxicity at the Population Level using Demographic Parameters. Ecotoxicology. 621–643. 6 indexed citations
20.
Everts, J.W., et al.. (1991). The toxic effect of deltamethrin on linyphiid and erigonid spiders in connection with ambient temperature, humidity, and predation. Archives of Environmental Contamination and Toxicology. 20(1). 20–24. 42 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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