C. Ryan Campbell

1.6k total citations
16 papers, 582 citations indexed

About

C. Ryan Campbell is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, C. Ryan Campbell has authored 16 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Genetics. Recurrent topics in C. Ryan Campbell's work include Animal Behavior and Reproduction (5 papers), Genomics and Phylogenetic Studies (4 papers) and Chromosomal and Genetic Variations (3 papers). C. Ryan Campbell is often cited by papers focused on Animal Behavior and Reproduction (5 papers), Genomics and Phylogenetic Studies (4 papers) and Chromosomal and Genetic Variations (3 papers). C. Ryan Campbell collaborates with scholars based in United States, Germany and United Kingdom. C. Ryan Campbell's co-authors include Anne D. Yoder, Haifan Lin, Daniel N. Cox, Jelmer W. Poelstra, Peter A. Larsen, Mario dos Reis, Kelsie E. Hunnicutt, Christopher Blair, Rodin M. Rasoloarison and Peter M. Kappeler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Current Biology.

In The Last Decade

C. Ryan Campbell

16 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Ryan Campbell United States 11 321 184 154 101 79 16 582
Chi-hua Chiu United States 14 439 1.4× 225 1.2× 117 0.8× 43 0.4× 57 0.7× 18 739
Shwetha C. Murali United States 11 306 1.0× 364 2.0× 162 1.1× 91 0.9× 67 0.8× 24 756
Antonio C.A. Meireles-Filho Switzerland 14 318 1.0× 174 0.9× 157 1.0× 93 0.9× 71 0.9× 18 907
Laurie S. Stevison United States 13 361 1.1× 616 3.3× 185 1.2× 146 1.4× 78 1.0× 28 960
J. A. Adegoke Nigeria 6 303 0.9× 242 1.3× 78 0.5× 105 1.0× 120 1.5× 9 543
Patricia Iturra Chile 18 196 0.6× 427 2.3× 103 0.7× 57 0.6× 94 1.2× 36 883
Rongfeng Cui United States 14 292 0.9× 478 2.6× 151 1.0× 230 2.3× 138 1.7× 28 937
Timothy H. Webster United States 11 127 0.4× 154 0.8× 56 0.4× 100 1.0× 63 0.8× 27 500
Yuichi Narita Japan 14 394 1.2× 162 0.9× 28 0.2× 79 0.8× 99 1.3× 39 887
Andrea Hodgins-Davis United States 10 178 0.6× 196 1.1× 58 0.4× 179 1.8× 83 1.1× 16 538

Countries citing papers authored by C. Ryan Campbell

Since Specialization
Citations

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

Fields of papers citing papers by C. Ryan Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Ryan Campbell. 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 C. Ryan Campbell. The network helps show where C. Ryan Campbell may publish in the future.

Co-authorship network of co-authors of C. Ryan Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of C. Ryan Campbell. A scholar is included among the top collaborators of C. Ryan Campbell 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 C. Ryan Campbell. C. Ryan Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Campbell, C. Ryan, Marta B. Manser, Mari Shiratori, et al.. (2024). A female‐biased gene expression signature of dominance in cooperatively breeding meerkats. Molecular Ecology. 33(21). e17467–e17467. 1 indexed citations
2.
Campbell, C. Ryan, George P. Tiley, Jelmer W. Poelstra, et al.. (2021). Pedigree-based and phylogenetic methods support surprising patterns of mutation rate and spectrum in the gray mouse lemur. Heredity. 127(2). 233–244. 30 indexed citations
3.
Hunnicutt, Kelsie E., George P. Tiley, Rachel C. Williams, et al.. (2019). Comparative Genomic Analysis of the Pheromone Receptor Class 1 Family (V1R) Reveals Extreme Complexity in Mouse Lemurs (Genus, Microcebus) and a Chromosomal Hotspot across Mammals. Genome Biology and Evolution. 12(1). 3562–3579. 7 indexed citations
4.
Wu, Paul Y K, Louise Almond, Jennitte Stevens, et al.. (2019). Advancing Biologics Development Programs with Legacy Cell Lines: Advantages and Limitations of Genetic Testing for Addressing Clonality Concerns Prior to Availability of Late Stage Process and Product Consistency Data. PDA Journal of Pharmaceutical Science and Technology. 74(2). 264–274. 2 indexed citations
5.
Campbell, C. Ryan, Jelmer W. Poelstra, & Anne D. Yoder. (2018). What is Speciation Genomics? The roles of ecology, gene flow, and genomic architecture in the formation of species. Biological Journal of the Linnean Society. 124(4). 561–583. 80 indexed citations
6.
Larsen, Peter A., R. Alan Harris, Yue Liu, et al.. (2017). Hybrid de novo genome assembly and centromere characterization of the gray mouse lemur (Microcebus murinus). BMC Biology. 15(1). 110–110. 42 indexed citations
7.
Casillas‐Espinosa, Pablo M., Kim L. Powell, Mingfu Zhu, et al.. (2017). Evaluating whole genome sequence data from the Genetic Absence Epilepsy Rat from Strasbourg and its related non-epileptic strain. PLoS ONE. 12(7). e0179924–e0179924. 22 indexed citations
8.
Campbell, C. Ryan, et al.. (2016). The effect of body mass and diet composition on torpor patterns in a Malagasy primate (Microcebus murinus). Journal of Comparative Physiology B. 187(4). 677–688. 8 indexed citations
9.
Yoder, Anne D., C. Ryan Campbell, Marina B. Blanco, et al.. (2016). Geogenetic patterns in mouse lemurs (genus Microcebus ) reveal the ghosts of Madagascar's forests past. Proceedings of the National Academy of Sciences. 113(29). 8049–8056. 72 indexed citations
10.
Campbell, C. Ryan, et al.. (2015). Evaluating whole transcriptome amplification for gene profiling experiments using RNA-Seq. BMC Biotechnology. 15(1). 65–65. 20 indexed citations
11.
Blair, Christopher, C. Ryan Campbell, & Anne D. Yoder. (2015). Assessing the utility of whole genome amplified DNA for next‐generation molecular ecology. Molecular Ecology Resources. 15(5). 1079–1090. 26 indexed citations
12.
Yoder, Anne D., Lieza M. Chan, Mario dos Reis, et al.. (2014). Molecular Evolutionary Characterization of a V1R Subfamily Unique to Strepsirrhine Primates. Genome Biology and Evolution. 6(1). 213–227. 24 indexed citations
13.
Larsen, Peter A., C. Ryan Campbell, & Anne D. Yoder. (2014). Next‐generation approaches to advancing eco‐immunogenomic research in critically endangered primates. Molecular Ecology Resources. 14(6). 1198–1209. 17 indexed citations
14.
Salvante, Katrina G., et al.. (2009). Plasticity in singing effort and its relationship with monoamine metabolism in the songbird telencephalon. Developmental Neurobiology. 70(1). 41–57. 11 indexed citations
15.
Sockman, Keith W., et al.. (2009). Song competition changes the brain and behavior of a male songbird. Journal of Experimental Biology. 212(15). 2411–2418. 8 indexed citations
16.
Cox, Daniel N., et al.. (2006). The Role of PIWI and the miRNA Machinery in Drosophila Germline Determination. Current Biology. 16(19). 1884–1894. 212 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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