P. Jeremy Wang

4.7k total citations · 2 hit papers
54 papers, 3.4k citations indexed

About

P. Jeremy Wang is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, P. Jeremy Wang has authored 54 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 15 papers in Genetics and 13 papers in Plant Science. Recurrent topics in P. Jeremy Wang's work include DNA Repair Mechanisms (20 papers), CRISPR and Genetic Engineering (16 papers) and Chromosomal and Genetic Variations (13 papers). P. Jeremy Wang is often cited by papers focused on DNA Repair Mechanisms (20 papers), CRISPR and Genetic Engineering (16 papers) and Chromosomal and Genetic Variations (13 papers). P. Jeremy Wang collaborates with scholars based in United States, China and Japan. P. Jeremy Wang's co-authors include David C. Page, Fengtang Yang, John R. McCarrey, N. Adrian Leu, Yang Xu, Ke Zheng, Seth D. Kasowitz, Richard M. Schultz, Stephen J. Anderson and Brian D. Gregory and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

P. Jeremy Wang

54 papers receiving 3.3k citations

Hit Papers

An abundance of X-linked ... 2001 2026 2009 2017 2001 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Jeremy Wang United States 27 2.6k 1.1k 669 586 508 54 3.4k
Satoshi H. Namekawa United States 32 2.4k 0.9× 1.1k 0.9× 495 0.7× 597 1.0× 417 0.8× 89 3.0k
Shantha K. Mahadevaiah United Kingdom 23 2.4k 0.9× 1.1k 0.9× 399 0.6× 776 1.3× 502 1.0× 31 3.0k
Willy M. Baarends Netherlands 33 3.1k 1.2× 1.6k 1.4× 1.3k 2.0× 605 1.0× 1.2k 2.3× 75 4.5k
Shinichiro Chuma Japan 37 3.7k 1.4× 1.3k 1.1× 840 1.3× 1.8k 3.1× 779 1.5× 54 4.7k
Frédéric Baudat France 25 4.2k 1.6× 1.3k 1.1× 309 0.5× 1.3k 2.1× 519 1.0× 40 4.9k
Yukihiro Yabuta Japan 33 4.4k 1.7× 1.4k 1.2× 461 0.7× 252 0.4× 1.1k 2.1× 58 5.0k
Peter Romanienko United States 17 3.4k 1.3× 917 0.8× 254 0.4× 708 1.2× 304 0.6× 29 3.9k
Ian R. Adams United Kingdom 29 3.2k 1.2× 809 0.7× 290 0.4× 517 0.9× 378 0.7× 55 3.7k
Sandrine Caburet France 23 1.3k 0.5× 686 0.6× 368 0.6× 229 0.4× 462 0.9× 39 1.9k
John Cobb United States 21 1.4k 0.5× 533 0.5× 240 0.4× 274 0.5× 381 0.8× 36 1.9k

Countries citing papers authored by P. Jeremy Wang

Since Specialization
Citations

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

Fields of papers citing papers by P. Jeremy Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Jeremy Wang. 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 P. Jeremy Wang. The network helps show where P. Jeremy Wang may publish in the future.

Co-authorship network of co-authors of P. Jeremy Wang

This figure shows the co-authorship network connecting the top 25 collaborators of P. Jeremy Wang. A scholar is included among the top collaborators of P. Jeremy Wang 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 P. Jeremy Wang. P. Jeremy Wang 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.
Wong, Hetty N., et al.. (2024). ARF6, a component of intercellular bridges, is essential for spermatogenesis in mice. Developmental Biology. 508. 46–63. 2 indexed citations
2.
Leu, N. Adrian, et al.. (2024). TRIP13 localizes to synapsed chromosomes and functions as a dosage-sensitive regulator of meiosis. eLife. 12. 1 indexed citations
3.
Leu, N. Adrian, Anastassios Vourekas, Panagiotis Alexiou, et al.. (2023). The MOV10 RNA helicase is a dosage-dependent host restriction factor for LINE1 retrotransposition in mice. PLoS Genetics. 19(5). e1010566–e1010566. 4 indexed citations
4.
Leu, N. Adrian, et al.. (2023). The DOT1L-MLLT10 complex regulates male fertility and promotes histone removal during spermiogenesis. Development. 150(9). 5 indexed citations
5.
Leu, N. Adrian, et al.. (2023). TRIP13 localizes to synapsed chromosomes and functions as a dosage-sensitive regulator of meiosis. eLife. 12. 9 indexed citations
6.
Wang, P. Jeremy, et al.. (2023). Role of Mutations of Mitochondrial Aminoacyl-tRNA Synthetases Genes on Epileptogenesis. Molecular Neurobiology. 60(9). 5482–5492. 1 indexed citations
7.
Johnson, Taylor A., Yang Fang, Mathieu Quesnel-Vallières, et al.. (2022). The germ cell-specific RNA binding protein RBM46 is essential for spermatogonial differentiation in mice. PLoS Genetics. 18(9). e1010416–e1010416. 11 indexed citations
8.
Cheng, Keren, Hiroshi Kubota, Yemin Lan, et al.. (2022). Histone methyltransferase DOT1L is essential for self-renewal of germline stem cells. Genes & Development. 36(11-12). 752–763. 24 indexed citations
9.
Liu, Rong, Seth D. Kasowitz, David Homolka, et al.. (2021). YTHDC2 is essential for pachytene progression and prevents aberrant microtubule-driven telomere clustering in male meiosis. Cell Reports. 37(11). 110110–110110. 31 indexed citations
10.
Keeney, Scott, et al.. (2021). yama, a mutant allele of Mov10l1, disrupts retrotransposon silencing and piRNA biogenesis. PLoS Genetics. 17(2). e1009265–e1009265. 12 indexed citations
11.
Xu, Yang, Rong Liu, N. Adrian Leu, et al.. (2020). A cell-based high-content screen identifies isocotoin as a small molecule inhibitor of the meiosis-specific MEIOB–SPATA22 complex†. Biology of Reproduction. 103(2). 333–342. 7 indexed citations
12.
Xue, Jiangyang, Jian Zhou, Seth D. Kasowitz, et al.. (2018). MORC2B is essential for meiotic progression and fertility. PLoS Genetics. 14(1). e1007175–e1007175. 15 indexed citations
13.
Jiang, Long, Tao Li, Xingxia Zhang, et al.. (2017). RPL10L Is Required for Male Meiotic Division by Compensating for RPL10 during Meiotic Sex Chromosome Inactivation in Mice. Current Biology. 27(10). 1498–1505.e6. 82 indexed citations
14.
Yang, Fengtang & P. Jeremy Wang. (2016). Multiple LINEs of retrotransposon silencing mechanisms in the mammalian germline. Seminars in Cell and Developmental Biology. 59. 118–125. 63 indexed citations
15.
Luo, Mengcheng, Yang Fang, N. Adrian Leu, et al.. (2013). MEIOB exhibits single-stranded DNA-binding and exonuclease activities and is essential for meiotic recombination. Nature Communications. 4(1). 2788–2788. 121 indexed citations
16.
Zheng, Ke & P. Jeremy Wang. (2012). Blockade of Pachytene piRNA Biogenesis Reveals a Novel Requirement for Maintaining Post-Meiotic Germline Genome Integrity. PLoS Genetics. 8(11). e1003038–e1003038. 94 indexed citations
17.
Zhou, Jian, Fengtang Yang, N. Adrian Leu, & P. Jeremy Wang. (2012). MNS1 Is Essential for Spermiogenesis and Motile Ciliary Functions in Mice. PLoS Genetics. 8(3). e1002516–e1002516. 77 indexed citations
18.
Wang, P. Jeremy, David C. Page, & John R. McCarrey. (2005). Differential expression of sex-linked and autosomal germ-cell-specific genes during spermatogenesis in the mouse. Human Molecular Genetics. 14(19). 2911–2918. 124 indexed citations
19.
Wang, P. Jeremy. (2004). X chromosomes, retrogenes and their role in male reproduction. Trends in Endocrinology and Metabolism. 15(2). 79–83. 94 indexed citations
20.
Wang, P. Jeremy, John R. McCarrey, Fengtang Yang, & David C. Page. (2001). An abundance of X-linked genes expressed in spermatogonia. Nature Genetics. 27(4). 422–426. 637 indexed citations breakdown →

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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