Denis M. Larkin

11.1k total citations
103 papers, 2.9k citations indexed

About

Denis M. Larkin is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Denis M. Larkin has authored 103 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Genetics, 49 papers in Plant Science and 42 papers in Molecular Biology. Recurrent topics in Denis M. Larkin's work include Chromosomal and Genetic Variations (48 papers), Genetic Mapping and Diversity in Plants and Animals (42 papers) and Genomics and Phylogenetic Studies (34 papers). Denis M. Larkin is often cited by papers focused on Chromosomal and Genetic Variations (48 papers), Genetic Mapping and Diversity in Plants and Animals (42 papers) and Genomics and Phylogenetic Studies (34 papers). Denis M. Larkin collaborates with scholars based in United Kingdom, Russia and United States. Denis M. Larkin's co-authors include Harris A. Lewin, N. S. Yudin, Marta Farré, Darren K. Griffin, Annelie Everts-van der Wind, Loretta Auvil, Joana Damas, Stephen J. O’Brien, Andrey A. Yurchenko and Rebecca E. O’Connor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Denis M. Larkin

99 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denis M. Larkin United Kingdom 32 2.1k 1.3k 1.2k 332 190 103 2.9k
Terje Raudsepp United States 37 2.8k 1.3× 1.3k 1.0× 1.4k 1.2× 124 0.4× 110 0.6× 155 4.0k
Bertrand Servin France 25 2.4k 1.1× 830 0.6× 618 0.5× 403 1.2× 289 1.5× 59 3.2k
Mirte Bosse Netherlands 28 2.0k 0.9× 629 0.5× 570 0.5× 393 1.2× 259 1.4× 63 2.7k
Elisabetta Giuffra Italy 27 1.5k 0.7× 335 0.3× 928 0.8× 314 0.9× 507 2.7× 58 2.7k
Ted Sharpe United States 7 954 0.4× 663 0.5× 1.3k 1.1× 216 0.7× 261 1.4× 8 2.4k
Ronald Okimoto United States 24 911 0.4× 1.1k 0.8× 1.4k 1.2× 125 0.4× 219 1.2× 38 3.1k
Stefan Hiendleder Germany 27 1.6k 0.7× 293 0.2× 1.3k 1.1× 220 0.7× 183 1.0× 95 2.9k
Andre A. Eggen France 20 1.7k 0.8× 586 0.5× 771 0.6× 278 0.8× 144 0.8× 36 2.3k
Jennifer R. S. Meadows Sweden 19 1.5k 0.7× 237 0.2× 627 0.5× 176 0.5× 370 1.9× 44 2.1k
Kent M. Reed United States 27 1.4k 0.7× 1.2k 0.9× 1.1k 0.9× 164 0.5× 403 2.1× 140 2.8k

Countries citing papers authored by Denis M. Larkin

Since Specialization
Citations

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

Fields of papers citing papers by Denis M. Larkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis M. Larkin

This figure shows the co-authorship network connecting the top 25 collaborators of Denis M. Larkin. A scholar is included among the top collaborators of Denis M. Larkin 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 Denis M. Larkin. Denis M. Larkin 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.
Griffin, Darren K., Rafael Kretschmer, Denis M. Larkin, et al.. (2025). Avian Cytogenomics: Small Chromosomes, Long Evolutionary History. Genes. 16(9). 1001–1001. 1 indexed citations
3.
Yurchenko, Andrey A., et al.. (2024). History, status and genetic characteristics of native cattle breeds from the Republic of Kazakhstan. Vavilov Journal of Genetics and Breeding. 28(4). 416–423. 1 indexed citations
4.
Griffin, Darren K., et al.. (2023). Reptile Evolution and Genetics - Special Issue Dedicated to the Memory of Prof. Teresa Capriglione. Kent Academic Repository (University of Kent). 1 indexed citations
5.
Griffin, Darren K., Denis M. Larkin, Rebecca E. O’Connor, & Michael N Romanov. (2022). Dinosaurs: Comparative Cytogenomics of Their Reptile Cousins and Avian Descendants. Animals. 13(1). 106–106. 1 indexed citations
6.
Drpic, Danica, Joana Damas, Harris A. Lewin, et al.. (2022). Augmin-dependent microtubule self-organization drives kinetochore fiber maturation in mammals. Cell Reports. 39(1). 110610–110610. 16 indexed citations
7.
Buggiotti, Laura, Andrey A. Yurchenko, N. S. Yudin, et al.. (2021). Demographic History, Adaptation, and NRAP Convergent Evolution at Amino Acid Residue 100 in the World Northernmost Cattle from Siberia. Molecular Biology and Evolution. 38(8). 3093–3110. 40 indexed citations
9.
Darolti, Iulia, Alison E. Wright, Benjamin A. Sandkam, et al.. (2019). Extreme heterogeneity in sex chromosome differentiation and dosage compensation in livebearers. Proceedings of the National Academy of Sciences. 116(38). 19031–19036. 66 indexed citations
10.
Torgasheva, Anna A., Kira S. Zadesenets, Т. В. Карамышева, et al.. (2019). Germline-restricted chromosome (GRC) is widespread among songbirds. Proceedings of the National Academy of Sciences. 116(24). 11845–11850. 67 indexed citations
11.
O’Connor, Rebecca E., Benjamin M. Skinner, Sunitha Joseph, et al.. (2018). Patterns of microchromosome organization remain highly conserved throughout avian evolution. Chromosoma. 128(1). 21–29. 55 indexed citations
12.
Griffin, Darren K., Rebecca O’Connor, Michael N Romanov, et al.. (2018). Jurassic spark: Mapping the genomes of birds and other dinosaurs. Open Research Online (The Open University). 1 indexed citations
13.
O’Connor, Rebecca E., Michael N Romanov, Paul M. Barrett, et al.. (2018). Reconstruction of the diapsid ancestral genome permits chromosome evolution tracing in avian and non-avian dinosaurs. Nature Communications. 9(1). 1883–1883. 54 indexed citations
15.
Kulemzina, Anastasia I., Polina L. Perelman, Alex Makunin, et al.. (2017). X Chromosome Evolution in Cetartiodactyla. Genes. 8(9). 216–216. 24 indexed citations
16.
O’Connor, Rebecca, Joana Damas, Marta Farré, et al.. (2016). Upgrading molecular cytogenetics to study reproduction and reproductive isolation in mammals, birds, and dinosaurs. Kent Academic Repository (University of Kent). 1 indexed citations
17.
O’Connor, Rebecca, Joana Damas, Katie E. Fowler, et al.. (2015). Assembling and comparing avian genomes by molecular cytogenetics. Open Research Online (The Open University). 1 indexed citations
18.
Romanov, Michael N, Rebecca O’Connor, Benjamin M. Skinner, et al.. (2015). Comparative cytogenomics enhanced with bioinformatic tools provides further insights into genome evolution of birds and other amniotes. Kent Academic Repository (University of Kent). 1 indexed citations
19.
Griffin, Darren K., Marta Farré, Rebecca O’Connor, et al.. (2015). Avian chromonomics goes functional. Chromosome Research. 1 indexed citations
20.
Griffin, Darren K., Marta Farré, Rebecca O’Connor, et al.. (2014). Avian cytogenetics goes functional. Kent Academic Repository (University of Kent). 2 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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