Janet M. Young

17.9k total citations · 1 hit paper
81 papers, 6.1k citations indexed

About

Janet M. Young is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Janet M. Young has authored 81 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 18 papers in Plant Science and 15 papers in Genetics. Recurrent topics in Janet M. Young's work include Olfactory and Sensory Function Studies (14 papers), Chromosomal and Genetic Variations (13 papers) and Biochemical Analysis and Sensing Techniques (12 papers). Janet M. Young is often cited by papers focused on Olfactory and Sensory Function Studies (14 papers), Chromosomal and Genetic Variations (13 papers) and Biochemical Analysis and Sensing Techniques (12 papers). Janet M. Young collaborates with scholars based in United States, United Kingdom and South Africa. Janet M. Young's co-authors include Barbara J. Trask, Barry W. Ache, Harmit S. Malik, Megan Walker, Hillary F. Massa, Michael Wigler, Anders Zetterberg, Joan Alexander, B. Lakshmi and Pär Lundin and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Janet M. Young

79 papers receiving 5.9k citations

Hit Papers

Large-Scale Copy Number P... 2004 2026 2011 2018 2004 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Janet M. Young 3.0k 2.3k 1.1k 1.0k 1.0k 81 6.1k
Andrew Chess 4.5k 1.5× 1.6k 0.7× 276 0.3× 1.3k 1.2× 2.0k 2.0× 51 7.3k
Nadav Ahituv 6.2k 2.1× 2.1k 0.9× 904 0.8× 564 0.5× 234 0.2× 143 8.1k
Toshihiko Shiroishi 6.2k 2.1× 2.7k 1.2× 716 0.7× 277 0.3× 550 0.5× 192 9.1k
Stephan Wolf 7.0k 2.4× 1.8k 0.8× 869 0.8× 572 0.6× 164 0.2× 128 10.2k
Hiromichi Yonekawa 5.5k 1.8× 2.7k 1.2× 427 0.4× 415 0.4× 360 0.4× 206 10.2k
Shawn M. Burgess 6.6k 2.2× 2.6k 1.2× 1.1k 1.0× 427 0.4× 402 0.4× 119 8.8k
Pieter J. de Jong 6.8k 2.3× 2.5k 1.1× 968 0.9× 158 0.2× 2.0k 1.9× 81 11.1k
Nikolaus Blin 4.4k 1.5× 1.2k 0.5× 389 0.4× 850 0.8× 194 0.2× 203 7.7k
Thomas Boehm 4.9k 1.6× 1.5k 0.7× 258 0.2× 800 0.8× 890 0.9× 228 12.3k
Yoichi Matsuda 8.5k 2.9× 5.4k 2.4× 4.2k 3.8× 402 0.4× 1.4k 1.4× 343 15.1k

Countries citing papers authored by Janet M. Young

Since Specialization
Citations

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

Fields of papers citing papers by Janet M. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet M. Young. 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 Janet M. Young. The network helps show where Janet M. Young may publish in the future.

Co-authorship network of co-authors of Janet M. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Janet M. Young. A scholar is included among the top collaborators of Janet M. Young 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 Janet M. Young. Janet M. Young 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.
Young, Janet M., et al.. (2025). Hypermutable hotspot enables the rapid evolution of self/non-self recognition genes in Dictyostelium. Proceedings of the National Academy of Sciences. 122(51). e2520843122–e2520843122. 1 indexed citations
2.
Young, Janet M., et al.. (2022). Novel Classes and Evolutionary Turnover of Histone H2B Variants in the Mammalian Germline. Molecular Biology and Evolution. 39(2). 22 indexed citations
3.
5.
Colmenares, Serafin U., et al.. (2020). Innovation of heterochromatin functions drives rapid evolution of essential ZAD-ZNF genes in Drosophila. eLife. 9. 24 indexed citations
6.
Graf, Laura, Richard N. McLaughlin, Janet M. Young, et al.. (2019). Combinatorial mutagenesis of rapidly evolving residues yields super-restrictor antiviral proteins. PLoS Biology. 17(10). e3000181–e3000181. 14 indexed citations
7.
Eickbush, Michael T., Janet M. Young, & Sarah E. Zanders. (2019). Killer Meiotic Drive and Dynamic Evolution of the wtf Gene Family. Molecular Biology and Evolution. 36(6). 1201–1214. 34 indexed citations
8.
Young, Janet M., et al.. (2019). Hybridization promotes asexual reproduction in Caenorhabditis nematodes. PLoS Genetics. 15(12). e1008520–e1008520. 10 indexed citations
9.
Molaro, Antoine, Janet M. Young, & Harmit S. Malik. (2018). Evolutionary origins and diversification of testis-specific short histone H2A variants in mammals. Genome Research. 28(4). 460–473. 47 indexed citations
10.
Nuckolls, Nicole L., María Angélica Bravo Núñez, Michael T. Eickbush, et al.. (2017). wtf genes are prolific dual poison-antidote meiotic drivers. eLife. 6. 76 indexed citations
11.
Cao, Chune, Janet M. Young, Chikako Ono, et al.. (2015). Baculovirus protein PK2 subverts eIF2α kinase function by mimicry of its kinase domain C-lobe. Proceedings of the National Academy of Sciences. 112(32). E4364–73. 15 indexed citations
12.
Young, Janet M., Zizhen Yao, Lauren Snider, et al.. (2013). DUX4 Binding to Retroelements Creates Promoters That Are Active in FSHD Muscle and Testis. PLoS Genetics. 9(11). e1003947–e1003947. 128 indexed citations
13.
Geng, Linda N., Zizhen Yao, Lauren Snider, et al.. (2011). DUX4 Activates Germline Genes, Retroelements, and Immune Mediators: Implications for Facioscapulohumeral Dystrophy. Developmental Cell. 22(1). 38–51. 339 indexed citations
14.
Young, Janet M., et al.. (2010). Outcomes of a National Institute of Allergy and Infectious Diseases Workshop on Understanding HIV-Exposed but Seronegative Individuals. AIDS Research and Human Retroviruses. 27(7). 737–743. 23 indexed citations
15.
Holcomb, Ilona N., Janet M. Young, Ilsa M. Coleman, et al.. (2009). Comparative Analyses of Chromosome Alterations in Soft-Tissue Metastases within and across Patients with Castration-Resistant Prostate Cancer. Cancer Research. 69(19). 7793–7802. 46 indexed citations
16.
Young, Janet M., Hillary F. Massa, Li Hsu, & Barbara J. Trask. (2009). Extreme variability among mammalian V1R gene families. Genome Research. 20(1). 10–18. 110 indexed citations
17.
Holcomb, Ilona N., Douglas I. Grove, Cynthia Friedman, et al.. (2008). Genomic Alterations Indicate Tumor Origin and Varied Metastatic Potential of Disseminated Cells from Prostate Cancer Patients. Cancer Research. 68(14). 5599–5608. 46 indexed citations
18.
Rudd, M. Katharine, Cynthia Friedman, Megan Walker, et al.. (2008). Comparative sequence analysis of primate subtelomeres originating from a chromosome fission event. Genome Research. 19(1). 33–41. 16 indexed citations
19.
Young, Janet M., et al.. (2005). Divergent V1R repertoires in five species: Amplification in rodents, decimation in primates, and a surprisingly small repertoire in dogs. Genome Research. 15(2). 231–240. 85 indexed citations
20.
Wassef, Nabila M., et al.. (2003). Viral Reservoirs/Transient Infection in HIV/AIDS: Where Are We Now and Where Should We Go? Summary of the June 13–14, 2002 Think Tank Meeting. AIDS Research and Human Retroviruses. 19(4). 333–344. 6 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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