James R. Walters

4.6k total citations · 1 hit paper
44 papers, 1.9k citations indexed

About

James R. Walters is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Insect Science. According to data from OpenAlex, James R. Walters has authored 44 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Genetics, 17 papers in Ecology, Evolution, Behavior and Systematics and 13 papers in Insect Science. Recurrent topics in James R. Walters's work include Insect and Arachnid Ecology and Behavior (15 papers), Plant and animal studies (15 papers) and Lepidoptera: Biology and Taxonomy (11 papers). James R. Walters is often cited by papers focused on Insect and Arachnid Ecology and Behavior (15 papers), Plant and animal studies (15 papers) and Lepidoptera: Biology and Taxonomy (11 papers). James R. Walters collaborates with scholars based in United States, United Kingdom and China. James R. Walters's co-authors include Chris D. Jiggins, R. G. Harrison, Liuqi Gu, Simon H. Martin, Kanchon K. Dasmahapatra, James Mallet, Andrea Manica, Fraser Simpson, Mark Blaxter and Camilo Salazar and has published in prestigious journals such as Current Biology, Genetics and Evolution.

In The Last Decade

James R. Walters

43 papers receiving 1.9k citations

Hit Papers

Genome-wide evidence for speciation with gene flow in Hel... 2013 2026 2017 2021 2013 100 200 300 400

Peers

James R. Walters
John E. Pool United States
Marta L. Wayne United States
Alan O. Bergland United States
Colin D. Meiklejohn United States
Siu Fai Lee Australia
José M. Ranz United States
Louis van de Zande Netherlands
Richard M. Kliman United States
Tim Connallon Australia
John E. Pool United States
James R. Walters
Citations per year, relative to James R. Walters James R. Walters (= 1×) peers John E. Pool

Countries citing papers authored by James R. Walters

Since Specialization
Citations

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

Fields of papers citing papers by James R. Walters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Walters. 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 James R. Walters. The network helps show where James R. Walters may publish in the future.

Co-authorship network of co-authors of James R. Walters

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Walters. A scholar is included among the top collaborators of James R. Walters 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 James R. Walters. James R. Walters 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.
Xu, Yang, Shanshan Wang, Yongjian Liu, et al.. (2023). The Prmt5-Vasa module is essential for spermatogenesis in Bombyx mori. PLoS Genetics. 19(1). e1010600–e1010600. 13 indexed citations
2.
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
3.
Tsuchiya, Dai, Fengli Guo, Jennifer M. Gardner, et al.. (2023). A molecular cell biology toolkit for the study of meiosis in the silkworm Bombyx mori. G3 Genes Genomes Genetics. 13(5). 2 indexed citations
4.
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
5.
Yang, Dehong, Jun Xu, Kai Chen, et al.. (2022). BmPMFBP1 regulates the development of eupyrene sperm in the silkworm, Bombyx mori. PLoS Genetics. 18(3). e1010131–e1010131. 19 indexed citations
6.
Voleníková, Anna, Petr Nguyen, Hana Sehadová, et al.. (2022). Genome sequence and silkomics of the spindle ermine moth, Yponomeuta cagnagella, representing the early diverging lineage of the ditrysian Lepidoptera. Communications Biology. 5(1). 1281–1281. 6 indexed citations
7.
Chen, Kai, Ye Yu, Dehong Yang, et al.. (2021). Correction: Gtsf1 is essential for proper female sex determination and transposon silencing in the silkworm, Bombyx mori. PLoS Genetics. 17(5). e1009572–e1009572. 11 indexed citations
8.
Mongue, Andrew J., et al.. (2021). Support for faster and more adaptive Z chromosome evolution in two divergent lepidopteran lineages *. Evolution. 76(2). 332–345. 26 indexed citations
9.
Karr, Timothy L., et al.. (2019). Evolutionary Proteomics Reveals Distinct Patterns of Complexity and Divergence between Lepidopteran Sperm Morphs. Genome Biology and Evolution. 11(7). 1838–1846. 11 indexed citations
10.
Mongue, Andrew J., Petr Nguyen, Anna Voleníková, & James R. Walters. (2017). Neo-sex Chromosomes in the Monarch Butterfly, Danaus plexippus. G3 Genes Genomes Genetics. 7(10). 3281–3294. 50 indexed citations
11.
Gu, Liuqi, James R. Walters, & Douglas C. Knipple. (2017). Conserved Patterns of Sex Chromosome Dosage Compensation in the Lepidoptera (WZ/ZZ): Insights from a Moth Neo-Z Chromosome. Genome Biology and Evolution. 9(3). 802–816. 28 indexed citations
12.
Zhao, Qian, et al.. (2015). Characterisation of the Manduca sexta sperm proteome: Genetic novelty underlying sperm composition in Lepidoptera. Insect Biochemistry and Molecular Biology. 62. 183–193. 24 indexed citations
13.
Cullen, Darron A., et al.. (2015). Pollen feeding proteomics: Salivary proteins of the passion flower butterfly, Heliconius melpomene. Insect Biochemistry and Molecular Biology. 63. 7–13. 25 indexed citations
14.
Karr, Timothy L. & James R. Walters. (2015). Panning for sperm gold: Isolation and purification of apyrene and eupyrene sperm from lepidopterans. Insect Biochemistry and Molecular Biology. 63. 152–158. 9 indexed citations
15.
Martin, Simon H., Kanchon K. Dasmahapatra, Nicola J. Nadeau, et al.. (2013). Genome-wide evidence for speciation with gene flow in Heliconius butterflies. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 32 indexed citations
16.
Briscoe, Adriana D., Aide Macias-Muñoz, Krzysztof M. Kozak, et al.. (2013). Female Behaviour Drives Expression and Evolution of Gustatory Receptors in Butterflies. PLoS Genetics. 9(7). e1003620–e1003620. 135 indexed citations
17.
Walters, James R. & R. G. Harrison. (2010). Combined EST and Proteomic Analysis Identifies Rapidly Evolving Seminal Fluid Proteins in Heliconius Butterflies. Molecular Biology and Evolution. 27(9). 2000–2013. 77 indexed citations
18.
Walters, James R. & R. G. Harrison. (2008). EST analysis of male accessory glands from Heliconius butterflies with divergent mating systems. BMC Genomics. 9(1). 592–592. 33 indexed citations
19.
Wright, Timothy F., et al.. (2004). Microsatellite variation among divergent populations of stalk-eyed flies, genus Cyrtodiopsis. Genetics Research. 84(1). 27–40. 38 indexed citations
20.
Walters, James R. & R. Sellwood. (1982). Aspects of genetic resistance to K88 E. Coli in pigs. 362–367. 13 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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