Wayne Crismani

1.7k total citations
25 papers, 1.1k citations indexed

About

Wayne Crismani is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Wayne Crismani has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Plant Science and 8 papers in Genetics. Recurrent topics in Wayne Crismani's work include DNA Repair Mechanisms (15 papers), Chromosomal and Genetic Variations (8 papers) and Photosynthetic Processes and Mechanisms (5 papers). Wayne Crismani is often cited by papers focused on DNA Repair Mechanisms (15 papers), Chromosomal and Genetic Variations (8 papers) and Photosynthetic Processes and Mechanisms (5 papers). Wayne Crismani collaborates with scholars based in Australia, France and India. Wayne Crismani's co-authors include Raphaël Mercier, Nicole Froger, Chloé Girard, Liudmila Chelysheva, Christine Horlow, Julien Mazel, Sandrine Choinard, J. L. Santos, Nicolas Macaisne and Gregory P. Copenhaver and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Wayne Crismani

25 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne Crismani Australia 13 953 536 169 125 74 25 1.1k
Adriana La Volpe Italy 17 1.2k 1.3× 232 0.4× 159 0.9× 192 1.5× 91 1.2× 24 1.3k
Arnaud De Muyt France 17 1.1k 1.2× 511 1.0× 105 0.6× 211 1.7× 75 1.0× 18 1.3k
Kirsten Hagstrom United States 15 1.7k 1.8× 636 1.2× 290 1.7× 213 1.7× 33 0.4× 18 1.8k
Léonard Rabinow United States 18 732 0.8× 198 0.4× 151 0.9× 109 0.9× 38 0.5× 34 918
Valérie Borde France 25 2.3k 2.4× 544 1.0× 259 1.5× 362 2.9× 189 2.6× 44 2.4k
Ennio Giordano Italy 15 555 0.6× 154 0.3× 154 0.9× 98 0.8× 32 0.4× 34 813
Lukáš Chmátal United States 10 537 0.6× 403 0.8× 272 1.6× 201 1.6× 16 0.2× 11 813
Valérie Garcia United Kingdom 15 1.1k 1.1× 170 0.3× 80 0.5× 205 1.6× 150 2.0× 19 1.1k
J.C.J. Eeken Netherlands 19 978 1.0× 371 0.7× 151 0.9× 72 0.6× 266 3.6× 43 1.1k
Shriparna Sarbajna United Kingdom 7 769 0.8× 192 0.4× 256 1.5× 95 0.8× 73 1.0× 7 870

Countries citing papers authored by Wayne Crismani

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Crismani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne Crismani. 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 Wayne Crismani. The network helps show where Wayne Crismani may publish in the future.

Co-authorship network of co-authors of Wayne Crismani

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne Crismani. A scholar is included among the top collaborators of Wayne Crismani 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 Wayne Crismani. Wayne Crismani 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.
Tucker, Elena J., Michael F. Sharp, Katrina M. Bell, et al.. (2024). Biallelic FANCA variants detected in sisters with isolated premature ovarian insufficiency. Clinical Genetics. 106(3). 321–335. 2 indexed citations
2.
Lyu, Ruqian, Jessica M. Stringer, Jessica E. M. Dunleavy, et al.. (2023). Fancm has dual roles in the limiting of meiotic crossovers and germ cell maintenance in mammals. Cell Genomics. 3(8). 100349–100349. 7 indexed citations
3.
Lyu, Ruqian, et al.. (2022). sgcocaller and comapr: personalised haplotype assembly and comparative crossover map analysis using single-gamete sequencing data. Nucleic Acids Research. 50(20). e118–e118. 5 indexed citations
4.
Walkemeier, Birgit, Jelle Van Leene, Geert De Jaeger, et al.. (2022). The FANCC–FANCE–FANCF complex is evolutionarily conserved and regulates meiotic recombination. Nucleic Acids Research. 51(6). 2516–2528. 12 indexed citations
5.
Martelotto, Luciano G., et al.. (2022). SSNIP-seq: A simple and rapid method for isolation of single-sperm nucleic acid for high-throughput sequencing. PLoS ONE. 17(9). e0275168–e0275168. 1 indexed citations
6.
Lyu, Ruqian, et al.. (2021). Personalized genome structure via single gamete sequencing. Genome biology. 22(1). 112–112. 9 indexed citations
7.
Sharp, Michael F., Rohan Bythell‐Douglas, Andrew J. Deans, & Wayne Crismani. (2021). The Fanconi anemia ubiquitin E3 ligase complex as an anti-cancer target. Molecular Cell. 81(11). 2278–2289. 10 indexed citations
8.
Sharp, Michael F., Vincent J. Murphy, Sylvie van Twest, et al.. (2020). Methodology for the identification of small molecule inhibitors of the Fanconi Anaemia ubiquitin E3 ligase complex. Scientific Reports. 10(1). 7959–7959. 8 indexed citations
9.
Tan, Winnie, Vincent J. Murphy, Sylvie van Twest, et al.. (2020). Preparation and purification of mono-ubiquitinated proteins using Avi-tagged ubiquitin. PLoS ONE. 15(2). e0229000–e0229000. 10 indexed citations
10.
Crismani, Wayne, et al.. (2019). The Fanconi Anemia Pathway and Fertility. Trends in Genetics. 35(3). 199–214. 80 indexed citations
11.
Twest, Sylvie van, Vincent J. Murphy, Charlotte Hodson, et al.. (2016). Mechanism of Ubiquitination and Deubiquitination in the Fanconi Anemia Pathway. Molecular Cell. 65(2). 247–259. 101 indexed citations
12.
Cifuentes, Marta, Sylvie Jolivet, Laurence Cromer, et al.. (2016). TDM1 Regulation Determines the Number of Meiotic Divisions. PLoS Genetics. 12(2). e1005856–e1005856. 42 indexed citations
13.
Séguéla-Arnaud, Mathilde, Sandrine Choinard, Chloé Girard, et al.. (2016). RMI1 and TOP3α limit meiotic CO formation through their C-terminal domains. Nucleic Acids Research. 45(4). gkw1210–gkw1210. 56 indexed citations
14.
Girard, Chloé, Liudmila Chelysheva, Sandrine Choinard, et al.. (2015). AAA-ATPase FIDGETIN-LIKE 1 and Helicase FANCM Antagonize Meiotic Crossovers by Distinct Mechanisms. PLoS Genetics. 11(7). e1005369–e1005369. 128 indexed citations
15.
Girard, Chloé, Wayne Crismani, Nicole Froger, et al.. (2014). FANCM-associated proteins MHF1 and MHF2, but not the other Fanconi anemia factors, limit meiotic crossovers. Nucleic Acids Research. 42(14). 9087–9095. 83 indexed citations
16.
Crismani, Wayne & Raphaël Mercier. (2013). Identifying Meiotic Mutants in Arabidopsis thaliana. Methods in molecular biology. 990. 227–234. 7 indexed citations
17.
Crismani, Wayne, Nicole Froger, Liudmila Chelysheva, et al.. (2013). MCM8 Is Required for a Pathway of Meiotic Double-Strand Break Repair Independent of DMC1 in Arabidopsis thaliana. PLoS Genetics. 9(1). e1003165–e1003165. 37 indexed citations
18.
Crismani, Wayne, Chloé Girard, Nicole Froger, et al.. (2012). FANCM Limits Meiotic Crossovers. Science. 336(6088). 1588–1590. 217 indexed citations
19.
Crismani, Wayne, Chloé Girard, & Raphaël Mercier. (2012). Tinkering with meiosis. Journal of Experimental Botany. 64(1). 55–65. 32 indexed citations
20.
Crismani, Wayne, Ute Baumann, Tim Sutton, et al.. (2006). Microarray expression analysis of meiosis and microsporogenesis in hexaploid bread wheat. BMC Genomics. 7(1). 267–267. 72 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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