Peter J. I. Ellis

2.7k total citations
48 papers, 1.6k citations indexed

About

Peter J. I. Ellis is a scholar working on Genetics, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Peter J. I. Ellis has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 27 papers in Molecular Biology and 13 papers in Reproductive Medicine. Recurrent topics in Peter J. I. Ellis's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (23 papers), Sperm and Testicular Function (13 papers) and Genomics and Chromatin Dynamics (11 papers). Peter J. I. Ellis is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (23 papers), Sperm and Testicular Function (13 papers) and Genomics and Chromatin Dynamics (11 papers). Peter J. I. Ellis collaborates with scholars based in United Kingdom, United States and France. Peter J. I. Ellis's co-authors include Nabeel A. Affara, Paul S. Burgoyne, Shantha K. Mahadevaiah, James M. A. Turner, Julie Cocquet, Michael Mitchell, Monika A. Ward, Yasuhiro Yamauchi, Lydia Ferguson and Emily J Clemente and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecular and Cellular Biology.

In The Last Decade

Peter J. I. Ellis

42 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter J. I. Ellis United Kingdom 22 961 890 376 341 198 48 1.6k
Julie Cocquet France 22 1.0k 1.1× 1.1k 1.2× 333 0.9× 306 0.9× 142 0.7× 34 1.7k
Corinne Grey France 20 2.0k 2.1× 747 0.8× 231 0.6× 548 1.6× 219 1.1× 30 2.4k
Satoshi H. Namekawa United States 32 2.4k 2.5× 1.1k 1.2× 495 1.3× 597 1.8× 408 2.1× 89 3.0k
Maëlle Pannetier France 22 847 0.9× 1.2k 1.4× 391 1.0× 101 0.3× 81 0.4× 42 1.6k
Shantha K. Mahadevaiah United Kingdom 23 2.4k 2.5× 1.1k 1.2× 399 1.1× 776 2.3× 314 1.6× 31 3.0k
Alberto Viera Spain 25 1.3k 1.3× 407 0.5× 84 0.2× 658 1.9× 74 0.4× 55 1.6k
Manfred Alsheimer Germany 28 2.0k 2.1× 326 0.4× 271 0.7× 319 0.9× 61 0.3× 54 2.4k
Hildo H. Offenberg Netherlands 20 2.0k 2.1× 394 0.4× 203 0.5× 605 1.8× 148 0.7× 24 2.2k
Pedro N. Moreira Spain 17 1.1k 1.1× 400 0.4× 409 1.1× 248 0.7× 188 0.9× 25 1.6k
J. Egozcue Spain 22 606 0.6× 827 0.9× 406 1.1× 553 1.6× 194 1.0× 89 1.7k

Countries citing papers authored by Peter J. I. Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. I. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. I. Ellis. 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 Peter J. I. Ellis. The network helps show where Peter J. I. Ellis may publish in the future.

Co-authorship network of co-authors of Peter J. I. Ellis

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. I. Ellis. A scholar is included among the top collaborators of Peter J. I. Ellis 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 Peter J. I. Ellis. Peter J. I. Ellis 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.
Zak, Louisa J., et al.. (2024). Effect of Two Different Sperm Selection Methods on Boar Sperm Parameters and In Vitro Fertilisation Outcomes. Animals. 14(17). 2544–2544. 1 indexed citations
3.
Silvestri, Giuseppe, Peter J. I. Ellis, Gary K. Robinson, et al.. (2024). Complex master-slave enhanced optical coherence microscopy. Optics Continuum. 3(3). 324–324.
4.
5.
Skinner, Benjamin M., et al.. (2022). The contribution of sex chromosome conflict to disrupted spermatogenesis in hybrid house mice. Genetics. 222(4). 4 indexed citations
6.
Lovell, David, et al.. (2022). Exploring Technologies to Better Link Physical Evidence and Digital Information for Disaster Victim Identification. Forensic Sciences Research. 7(3). 467–483. 6 indexed citations
7.
8.
Skinner, Benjamin M., et al.. (2019). A high-throughput method for unbiased quantitation and categorization of nuclear morphology. Biology of Reproduction. 100(5). 1250–1260. 32 indexed citations
9.
Drage, Deborah, Giuseppe Silvestri, Nabeel A. Affara, et al.. (2019). Differential Sperm Motility Mediates the Sex Ratio Drive Shaping Mouse Sex Chromosome Evolution. Current Biology. 29(21). 3692–3698.e4. 33 indexed citations
10.
Vernet, Nadège, Shantha K. Mahadevaiah, Dirk G. de Rooij, Paul S. Burgoyne, & Peter J. I. Ellis. (2016). Zfygenes are required for efficient meiotic sex chromosome inactivation (MSCI) in spermatocytes. Human Molecular Genetics. 25(24). ddw344–ddw344. 20 indexed citations
11.
Griffin, Darren K., Katie E. Fowler, Peter J. I. Ellis, & Dean A. Jackson. (2015). 20th International Chromosome Conference (ICCXX). Chromosome Research. 23(2). 343–414. 3 indexed citations
12.
Cocquet, Julie, Peter J. I. Ellis, Shantha K. Mahadevaiah, et al.. (2012). A Genetic Basis for a Postmeiotic X Versus Y Chromosome Intragenomic Conflict in the Mouse. PLoS Genetics. 8(9). e1002900–e1002900. 118 indexed citations
13.
Cocquet, Julie, Peter J. I. Ellis, Yasuhiro Yamauchi, et al.. (2010). Deficiency in the Multicopy Sycp3-Like X-Linked Genes Slx and Slxl1 Causes Major Defects in Spermatid Differentiation. Molecular Biology of the Cell. 21(20). 3497–3505. 46 indexed citations
14.
Lopes, Alexandra M., Ricardo Núñez Miguel, Carole A. Sargent, et al.. (2010). The human RPS4 paralogue on Yq11.223 encodes a structurally conserved ribosomal protein and is preferentially expressed during spermatogenesis. BMC Molecular Biology. 11(1). 33–33. 56 indexed citations
15.
Abel, Margaret H., et al.. (2007). Hypogonadal Mouse, a Model to Study the Effects of the Endogenous Lack of Gonadotropins on Apoptosis1. Biology of Reproduction. 78(1). 77–90. 14 indexed citations
16.
Ellis, Peter J. I., Lydia Ferguson, Emily J Clemente, & Nabeel A. Affara. (2007). Bidirectional transcription of a novel chimeric gene mapping to mouse chromosome Yq. BMC Evolutionary Biology. 7(1). 171–171. 27 indexed citations
17.
Ellis, Peter J. I., Rob Furlong, Sarah J. Conner, et al.. (2007). Coordinated transcriptional regulation patterns associated with infertility phenotypes in men. Journal of Medical Genetics. 44(8). 498–508. 29 indexed citations
18.
Turner, James M. A., Shantha K. Mahadevaiah, Peter J. I. Ellis, Michael Mitchell, & Paul S. Burgoyne. (2006). Pachytene Asynapsis Drives Meiotic Sex Chromosome Inactivation and Leads to Substantial Postmeiotic Repression in Spermatids. Developmental Cell. 10(4). 521–529. 226 indexed citations
19.
Touré, Aminata, Emily J Clemente, Peter J. I. Ellis, et al.. (2005). Identification of novel Y chromosome encoded transcripts by testis transcriptome analysis of mice with deletions of the Y chromosome long arm. Genome biology. 6(12). 160–160. 80 indexed citations
20.
Ellis, Peter J. I., Emily J Clemente, Aminata Touré, et al.. (2005). Deletions on mouse Yq lead to upregulation of multiple X- and Y-linked transcripts in spermatids. Human Molecular Genetics. 14(18). 2705–2715. 77 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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