Richard P. Meisel

2.7k total citations
41 papers, 1.0k citations indexed

About

Richard P. Meisel is a scholar working on Genetics, Molecular Biology and Insect Science. According to data from OpenAlex, Richard P. Meisel has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 13 papers in Molecular Biology and 13 papers in Insect Science. Recurrent topics in Richard P. Meisel's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (20 papers), Insect symbiosis and bacterial influences (9 papers) and Genetic diversity and population structure (8 papers). Richard P. Meisel is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (20 papers), Insect symbiosis and bacterial influences (9 papers) and Genetic diversity and population structure (8 papers). Richard P. Meisel collaborates with scholars based in United States, United Kingdom and Switzerland. Richard P. Meisel's co-authors include Tim Connallon, Andrew G. Clark, John H. Malone, Jeffrey G. Scott, Mira Han, Matthew W. Hahn, Tawni L. Crippen, Aaron M. Tarone, Jeffery K. Tomberlin and Baneshwar Singh and has published in prestigious journals such as Nature Communications, PLoS ONE and Development.

In The Last Decade

Richard P. Meisel

38 papers receiving 995 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard P. Meisel United States 16 663 311 292 253 198 41 1.0k
Hope Hollocher United States 19 771 1.2× 329 1.1× 563 1.9× 299 1.2× 227 1.1× 48 1.3k
Kurt M. Pickett United States 16 629 0.9× 263 0.8× 648 2.2× 256 1.0× 112 0.6× 32 960
Victoria A. Kassner United States 13 797 1.2× 866 2.8× 400 1.4× 215 0.8× 289 1.5× 14 1.6k
Andrea J. Betancourt United Kingdom 16 916 1.4× 686 2.2× 251 0.9× 112 0.4× 470 2.4× 29 1.5k
Henrique Teotónio United States 21 845 1.3× 251 0.8× 400 1.4× 117 0.5× 106 0.5× 42 1.3k
Joseph J. Hanly United States 13 530 0.8× 186 0.6× 456 1.6× 102 0.4× 101 0.5× 26 777
Chau‐Ti Ting Taiwan 17 1.4k 2.1× 703 2.3× 700 2.4× 289 1.1× 411 2.1× 30 2.0k
Max Reuter United Kingdom 22 745 1.1× 142 0.5× 625 2.1× 543 2.1× 123 0.6× 48 1.3k
Arjèn E. van’t Hof United Kingdom 12 431 0.7× 290 0.9× 281 1.0× 195 0.8× 228 1.2× 21 834
Hailin Pan China 13 508 0.8× 211 0.7× 290 1.0× 225 0.9× 86 0.4× 17 800

Countries citing papers authored by Richard P. Meisel

Since Specialization
Citations

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

Fields of papers citing papers by Richard P. Meisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard P. Meisel

This figure shows the co-authorship network connecting the top 25 collaborators of Richard P. Meisel. A scholar is included among the top collaborators of Richard P. Meisel 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 Richard P. Meisel. Richard P. Meisel 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.
Boxler, David J., Edwin R. Burgess, Rebecca Trout Fryxell, et al.. (2024). Frequencies of house fly proto-Y chromosomes across populations are predicted by temperature heterogeneity within populations. Journal of Heredity. 116(3). 208–215. 1 indexed citations
2.
Stewart, Alexander J., et al.. (2024). The role of uncertainty and negative feedback loops in the evolution of induced immune defenses. G3 Genes Genomes Genetics. 14(10).
3.
Li, Xuan, S.L. Visser, Jae Hak Son, et al.. (2024). Divergent evolution of male-determining loci on proto-Y chromosomes of the housefly. Nature Communications. 15(1). 5984–5984.
4.
Riddle, Nicole C., Peggy R. Biga, Anne M. Bronikowski, et al.. (2023). Comparative analysis of animal lifespan. GeroScience. 46(1). 171–181. 6 indexed citations
5.
Meisel, Richard P., et al.. (2022). Induction and inhibition of Drosophila X chromosome gene expression are both impeded by the dosage compensation complex. G3 Genes Genomes Genetics. 12(9). 2 indexed citations
6.
Bronikowski, Anne M., Richard P. Meisel, Peggy R. Biga, et al.. (2022). Sex‐specific aging in animals: Perspective and future directions. Aging Cell. 21(2). e13542–e13542. 51 indexed citations
7.
8.
Meisel, Richard P., et al.. (2020). Sex Chromosome Evolution in Muscid Flies. G3 Genes Genomes Genetics. 10(4). 1341–1352. 13 indexed citations
9.
Son, Jae Hak & Richard P. Meisel. (2020). Gene-Level, but Not Chromosome-Wide, Divergence between a Very Young House Fly Proto-Y Chromosome and Its Homologous Proto-X Chromosome. Molecular Biology and Evolution. 38(2). 606–618. 9 indexed citations
10.
11.
Meisel, Richard P., et al.. (2017). The house fly Y Chromosome is young and minimally differentiated from its ancient X Chromosome partner. Genome Research. 27(8). 1417–1426. 27 indexed citations
12.
Meisel, Richard P., Jeffrey G. Scott, & Andrew G. Clark. (2015). Transcriptome Differences between Alternative Sex Determining Genotypes in the House Fly, Musca domestica. Genome Biology and Evolution. 7(7). 2051–2061. 19 indexed citations
13.
Meisel, Richard P. & Tim Connallon. (2013). The faster-X effect: integrating theory and data. Trends in Genetics. 29(9). 537–544. 161 indexed citations
14.
Meisel, Richard P., John H. Malone, & Andrew G. Clark. (2012). Disentangling the relationship between sex-biased gene expression and X-linkage. Genome Research. 22(7). 1255–1265. 99 indexed citations
15.
Meisel, Richard P., John H. Malone, & Andrew G. Clark. (2012). Faster-X Evolution of Gene Expression in Drosophila. PLoS Genetics. 8(10). e1003013–e1003013. 66 indexed citations
16.
Meisel, Richard P.. (2011). Towards a More Nuanced Understanding of the Relationship between Sex-Biased Gene Expression and Rates of Protein-Coding Sequence Evolution. Molecular Biology and Evolution. 28(6). 1893–1900. 101 indexed citations
17.
Meisel, Richard P., et al.. (2010). Adaptive Evolution of Genes Duplicated from the Drosophila pseudoobscura neo-X Chromosome. Molecular Biology and Evolution. 27(8). 1963–1978. 14 indexed citations
18.
Meisel, Richard P.. (2009). Repeat mediated gene duplication in the Drosophila pseudoobscura genome. Gene. 438(1-2). 1–7. 11 indexed citations
19.
Meisel, Richard P.. (2009). Evolutionary Dynamics of Recently Duplicated Genes: Selective Constraints on Diverging Paralogs in the Drosophila pseudoobscura Genome. Journal of Molecular Evolution. 69(1). 81–93. 12 indexed citations
20.
Meisel, Richard P. & Stephen W. Schaeffer. (2007). Meiotic Transmission of Drosophila pseudoobscura Chromosomal Arrangements. PLoS ONE. 2(6). e530–e530. 5 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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