Lucas B. Carey

2.3k total citations
33 papers, 1.3k citations indexed

About

Lucas B. Carey is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Lucas B. Carey has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Lucas B. Carey's work include Gene Regulatory Network Analysis (11 papers), Fungal and yeast genetics research (10 papers) and RNA and protein synthesis mechanisms (9 papers). Lucas B. Carey is often cited by papers focused on Gene Regulatory Network Analysis (11 papers), Fungal and yeast genetics research (10 papers) and RNA and protein synthesis mechanisms (9 papers). Lucas B. Carey collaborates with scholars based in Spain, China and United States. Lucas B. Carey's co-authors include Aaron E. Darling, Wu-chun Feng, Eran Segal, Adina Weinberger, Eilon Sharon, David van Dijk, Bruce Futcher, Danny Zeevi, Lars Velten and P.M.A. Sloot and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

Lucas B. Carey

32 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucas B. Carey Spain 19 974 219 123 112 89 33 1.3k
Yang Ding China 21 642 0.7× 129 0.6× 77 0.6× 55 0.5× 73 0.8× 77 1.5k
Nara Lee United States 21 1.1k 1.1× 70 0.3× 122 1.0× 84 0.8× 50 0.6× 48 1.6k
Jan Schröder Australia 17 893 0.9× 201 0.9× 63 0.5× 185 1.7× 141 1.6× 37 1.3k
Leena Salmela Finland 12 751 0.8× 136 0.6× 54 0.4× 280 2.5× 200 2.2× 35 1.1k
Patrick Flick United States 7 488 0.5× 108 0.5× 29 0.2× 226 2.0× 53 0.6× 13 848
Philip Machanick South Africa 11 1.4k 1.5× 228 1.0× 69 0.6× 442 3.9× 30 0.3× 38 1.9k
Bernard J. Pope Australia 16 714 0.7× 221 1.0× 40 0.3× 80 0.7× 28 0.3× 55 1.6k
Paul Medvedev United States 22 1.6k 1.6× 787 3.6× 110 0.9× 574 5.1× 311 3.5× 75 2.3k
Éric Rivals France 23 1.8k 1.8× 362 1.7× 33 0.3× 531 4.7× 394 4.4× 78 2.3k
Wellington S. Martins Brazil 14 428 0.4× 195 0.9× 26 0.2× 541 4.8× 156 1.8× 50 1.2k

Countries citing papers authored by Lucas B. Carey

Since Specialization
Citations

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

Fields of papers citing papers by Lucas B. Carey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucas B. Carey. 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 Lucas B. Carey. The network helps show where Lucas B. Carey may publish in the future.

Co-authorship network of co-authors of Lucas B. Carey

This figure shows the co-authorship network connecting the top 25 collaborators of Lucas B. Carey. A scholar is included among the top collaborators of Lucas B. Carey 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 Lucas B. Carey. Lucas B. Carey 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.
Yan, Yang, Guoyu Liu, Feng Li, et al.. (2022). Receptor for advanced glycation end-products (RAGE) mediates phagocytosis in nonprofessional phagocytes. Communications Biology. 5(1). 824–824. 7 indexed citations
2.
Jiang, Zhisheng, et al.. (2021). A conserved expression signature predicts growth rate and reveals cell & lineage-specific differences. PLoS Computational Biology. 17(11). e1009582–e1009582. 6 indexed citations
3.
Stefano, Marco Di, et al.. (2020). Impact of Chromosome Fusions on 3D Genome Organization and Gene Expression in Budding Yeast. Genetics. 214(3). 651–667. 7 indexed citations
4.
Maier, Michael, et al.. (2020). Budding yeast complete DNA synthesis after chromosome segregation begins. Nature Communications. 11(1). 2267–2267. 33 indexed citations
5.
Usmanova, Dinara R., Ekaterina V. Putintseva, Lorena Espinar, et al.. (2019). An experimental assay of the interactions of amino acids from orthologous sequences shaping a complex fitness landscape. PLoS Genetics. 15(4). e1008079–e1008079. 60 indexed citations
6.
Chen, Ying, Ke Li, Xiao Chu, Lucas B. Carey, & Wenfeng Qian. (2019). Synchronized replication of genes encoding the same protein complex in fast-proliferating cells. Genome Research. 29(12). 1929–1938. 5 indexed citations
7.
Carey, Lucas B., et al.. (2019). Transcriptomics data of 11 species of yeast identically grown in rich media and oxidative stress conditions. BMC Research Notes. 12(1). 250–250. 7 indexed citations
8.
Duan, Chaorui, Qing Huan, Xiaoshu Chen, et al.. (2018). Reduced intrinsic DNA curvature leads to increased mutation rate. Genome biology. 19(1). 132–132. 18 indexed citations
9.
Carey, Lucas B., et al.. (2018). Recurrence-based information processing in gene regulatory networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(10). 106313–106313. 16 indexed citations
10.
Espinar, Lorena, et al.. (2018). Promoter architecture determines cotranslational regulation of mRNA. Genome Research. 28(4). 509–518. 16 indexed citations
11.
Dijk, David van, Eilon Sharon, Maya Lotan‐Pompan, et al.. (2016). Large-scale mapping of gene regulatory logic reveals context-dependent repression by transcriptional activators. Genome Research. 27(1). 87–94. 17 indexed citations
12.
Domingo, Júlia, et al.. (2016). A synthetic gene circuit for measuring autoregulatory feedback control. Integrative Biology. 8(4). 546–555. 6 indexed citations
13.
Dijk, David van, Riddhiman Dhar, Alsu Missarova, et al.. (2015). Slow-growing cells within isogenic populations have increased RNA polymerase error rates and DNA damage. Nature Communications. 6(1). 7972–7972. 35 indexed citations
14.
Velten, Lars, Eilon Sharon, Danny Zeevi, et al.. (2013). Deciphering the rules by which 5′-UTR sequences affect protein expression in yeast. Proceedings of the National Academy of Sciences. 110(30). E2792–801. 184 indexed citations
15.
Shalem, Ophir, Lucas B. Carey, Danny Zeevi, et al.. (2013). Measurements of the Impact of 3′ End Sequences on Gene Expression Reveal Wide Range and Sequence Dependent Effects. PLoS Computational Biology. 9(3). e1002934–e1002934. 22 indexed citations
16.
Opulente, Dana A., et al.. (2013). Coevolution Trumps Pleiotropy: Carbon Assimilation Traits Are Independent of Metabolic Network Structure in Budding Yeast. PLoS ONE. 8(1). e54403–e54403. 7 indexed citations
17.
Rest, Joshua S., Dana A. Opulente, Jed F. Fisher, et al.. (2012). Nonlinear Fitness Consequences of Variation in Expression Level of a Eukaryotic Gene. Molecular Biology and Evolution. 30(2). 448–456. 31 indexed citations
18.
Wang, Hongyin, Lucas B. Carey, Ying Cai, Herman Wijnen, & Bruce Futcher. (2009). Recruitment of Cln3 Cyclin to Promoters Controls Cell Cycle Entry via Histone Deacetylase and Other Targets. PLoS Biology. 7(9). e1000189–e1000189. 81 indexed citations
19.
Carey, Lucas B., Janet Leatherwood, & Bruce Futcher. (2008). Huxley's Revenge: Cell-Cycle Entry, Positive Feedback, and the G1 Cyclins. Molecular Cell. 31(3). 307–308.
20.
Darling, Aaron E., Lucas B. Carey, & Wu-chun Feng. (2003). The design, implementation, and evaluation of mpiBLAST. University of North Texas Digital Library (University of North Texas). 250 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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