Luke Kramer

1.1k total citations
21 papers, 462 citations indexed

About

Luke Kramer is a scholar working on Genetics, Animal Science and Zoology and Small Animals. According to data from OpenAlex, Luke Kramer has authored 21 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 6 papers in Animal Science and Zoology and 3 papers in Small Animals. Recurrent topics in Luke Kramer's work include Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Microbial infections and disease research (3 papers). Luke Kramer is often cited by papers focused on Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Microbial infections and disease research (3 papers). Luke Kramer collaborates with scholars based in United States, Canada and Brazil. Luke Kramer's co-authors include Yusuke Nasu, Yi Shen, Robert E. Campbell, James M. Reecy, James E. Koltes, Raluca G. Mateescu, Xinyang Zhang, Lili Yang, Hui Li and Hui Zhang and has published in prestigious journals such as Genome Research, Nature Chemical Biology and Journal of Animal Science.

In The Last Decade

Luke Kramer

21 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luke Kramer United States 11 204 184 77 61 45 21 462
Tania Michelle Roberts Switzerland 12 183 0.9× 730 4.0× 50 0.6× 36 0.6× 161 3.6× 20 962
Andréa Cristina Basso Brazil 17 247 1.2× 160 0.9× 35 0.5× 15 0.2× 395 8.8× 40 1.0k
Yuliang Liu China 11 40 0.2× 188 1.0× 28 0.4× 21 0.3× 17 0.4× 25 311
Molly Miranda United States 10 134 0.7× 558 3.0× 34 0.4× 19 0.3× 11 0.2× 20 688
Jolanta Zaim Poland 8 156 0.8× 351 1.9× 20 0.3× 23 0.4× 4 0.1× 8 452
A. M. Ramos United States 16 317 1.6× 189 1.0× 152 2.0× 57 0.9× 37 0.8× 28 602
Amanda M. Cooksey United States 11 64 0.3× 153 0.8× 88 1.1× 20 0.3× 23 0.5× 17 334
Jennifer T. Wang United States 11 104 0.5× 539 2.9× 32 0.4× 15 0.2× 6 0.1× 18 751
Hang Su China 16 34 0.2× 238 1.3× 56 0.7× 53 0.9× 3 0.1× 47 725
Gary Saunders United Kingdom 9 69 0.3× 231 1.3× 14 0.2× 41 0.7× 5 0.1× 15 460

Countries citing papers authored by Luke Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Luke Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke Kramer. 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 Luke Kramer. The network helps show where Luke Kramer may publish in the future.

Co-authorship network of co-authors of Luke Kramer

This figure shows the co-authorship network connecting the top 25 collaborators of Luke Kramer. A scholar is included among the top collaborators of Luke Kramer 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 Luke Kramer. Luke Kramer 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.
Mayes, M. S., et al.. (2024). The genetic architecture of complete blood counts in lactating Holstein dairy cows. Frontiers in Genetics. 15. 1360295–1360295. 1 indexed citations
2.
Kramer, Luke, et al.. (2023). Racial and Ethnic Disparities in Physical and Mental Health Care and Clinical Trials. The Journal of Clinical Psychiatry. 84(4). 6 indexed citations
3.
Safonova, Yana, Luke Kramer, James M. Reecy, et al.. (2022). Variations in antibody repertoires correlate with vaccine responses. Genome Research. 32(4). 791–804. 12 indexed citations
4.
Kramer, Luke, Jinyan Teng, Kyu‐Sang Lim, et al.. (2022). 560. Large-scale cis-eQTL analysis of gene expression in blood of young healthy pigs using PigGTEx. 2321–2324. 1 indexed citations
5.
Nasu, Yusuke, Yi Shen, Luke Kramer, & Robert E. Campbell. (2021). Structure- and mechanism-guided design of single fluorescent protein-based biosensors. Nature Chemical Biology. 17(5). 509–518. 147 indexed citations
6.
Neto, José Braccini, Luke Kramer, Yijian Huang, et al.. (2021). Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Reproductive Performance. Frontiers in Genetics. 12. 707870–707870. 3 indexed citations
7.
Neto, José Braccini, Luke Kramer, Yijian Huang, et al.. (2021). Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Antibody Response as an Indicator Trait for Improved Reproductive Performance. Frontiers in Genetics. 12. 707873–707873. 7 indexed citations
8.
Kramer, Luke, et al.. (2021). Purebred-crossbred genetic parameters for reproductive traits in swine. Journal of Animal Science. 99(10). 3 indexed citations
9.
Kramer, Luke, et al.. (2021). Genome-Wide Association Study for Fatty Acid Composition in American Angus Cattle. Animals. 11(8). 2424–2424. 11 indexed citations
10.
Zhang, Hui, Luke Kramer, Xinyang Zhang, et al.. (2020). Haplotype-based genome-wide association studies for carcass and growth traits in chicken. Poultry Science. 99(5). 2349–2361. 44 indexed citations
11.
Rezende, Fernanda Marcondes de, et al.. (2020). Whole Genome Sequence Data Provides Novel Insights Into the Genetic Architecture of Meat Quality Traits in Beef. Frontiers in Genetics. 11. 538640–538640. 24 indexed citations
12.
Kramer, Luke, Jeremy G Powell, Jared E. Decker, et al.. (2020). Genetic Basis of Blood-Based Traits and Their Relationship With Performance and Environment in Beef Cattle at Weaning. Frontiers in Genetics. 11. 717–717. 15 indexed citations
13.
Kramer, Luke, M. S. Mayes, Richard G. Tait, et al.. (2019). Genome-wide association study for response to vaccination in Angus calves1. BMC Genetics. 20(1). 6–6. 4 indexed citations
14.
Koltes, James E., John B. Cole, Ryan N. Dilger, et al.. (2019). A Vision for Development and Utilization of High-Throughput Phenotyping and Big Data Analytics in Livestock. Frontiers in Genetics. 10. 1197–1197. 74 indexed citations
15.
César, Aline Silva Mello, Luciana Correia de Almeida Regitano, James M. Reecy, et al.. (2018). Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits. BMC Genomics. 19(1). 499–499. 42 indexed citations
16.
Zhang, Hui, Lili Yang, Luke Kramer, et al.. (2017). Identification of genome-wide SNP-SNP interactions associated with important traits in chicken. BMC Genomics. 18(1). 892–892. 26 indexed citations
17.
Kramer, Luke, M. S. Mayes, Eric Fritz-Waters, et al.. (2017). Evaluation of responses to vaccination of Angus cattle for four viruses that contribute to bovine respiratory disease complex1,2. Journal of Animal Science. 95(11). 4820–4834. 5 indexed citations
18.
Kramer, Luke, James E. Koltes, Eric Fritz-Waters, et al.. (2016). Epistatic interactions associated with fatty acid concentrations of beef from angus sired beef cattle. BMC Genomics. 17(1). 891–891. 7 indexed citations
19.
Weeks, Nathan T., Glenn R. Luecke, Li Ma, et al.. (2016). High-performance epistasis detection in quantitative trait GWAS. The International Journal of High Performance Computing Applications. 32(3). 321–336. 18 indexed citations
20.
Luecke, Glenn R., Nathan T. Weeks, Li Ma, et al.. (2015). Fast Epistasis Detection in Large-Scale GWAS for Intel Xeon Phi Clusters. 2015 IEEE Trustcom/BigDataSE/ISPA. 228–235. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tania Michelle Roberts Breakdown of academic impact, for papers by Andréa Cristina Basso Breakdown of academic impact, for papers by Yuliang Liu Breakdown of academic impact, for papers by Molly Miranda Breakdown of academic impact, for papers by Jolanta Zaim Breakdown of academic impact, for papers by A. M. Ramos Breakdown of academic impact, for papers by Amanda M. Cooksey Breakdown of academic impact, for papers by Jennifer T. Wang Breakdown of academic impact, for papers by Hang Su Breakdown of academic impact, for papers by Gary Saunders
Rankless by CCL
2026