L.A. Shepel

582 total citations
15 papers, 458 citations indexed

About

L.A. Shepel is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, L.A. Shepel has authored 15 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Genetics and 2 papers in Plant Science. Recurrent topics in L.A. Shepel's work include BRCA gene mutations in cancer (5 papers), Nutrition, Genetics, and Disease (4 papers) and Molecular Biology Techniques and Applications (4 papers). L.A. Shepel is often cited by papers focused on BRCA gene mutations in cancer (5 papers), Nutrition, Genetics, and Disease (4 papers) and Molecular Biology Techniques and Applications (4 papers). L.A. Shepel collaborates with scholars based in United States. L.A. Shepel's co-authors include Michael N. Gould, Jill D. Haag, Lan Hong, Michael A. Newton, Kai-Shun Chen, M.N. Gould, Yurong Wang, Rong Hu, Lih‐Ching Hsu and Christina Kendziorski and has published in prestigious journals such as Nature Biotechnology, Oncogene and Genetics.

In The Last Decade

L.A. Shepel

15 papers receiving 447 citations

Peers

L.A. Shepel
Alexander A. Vostrov United States
J. Richard Chaillet United States
Kristilyn Eliason United States
Juyuan Guo United States
Stacy R. Denison United States
Adam Diehl United States
L.A. Shepel
Citations per year, relative to L.A. Shepel L.A. Shepel (= 1×) peers Alicia Subtil‐Rodríguez

Countries citing papers authored by L.A. Shepel

Since Specialization
Citations

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

Fields of papers citing papers by L.A. Shepel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.A. Shepel. 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 L.A. Shepel. The network helps show where L.A. Shepel may publish in the future.

Co-authorship network of co-authors of L.A. Shepel

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

All Works

15 of 15 papers shown
2.
Haag, Jill D., Kai-Shun Chen, L.A. Shepel, et al.. (2003). Production of knockout rats using ENU mutagenesis and a yeast-based screening assay. Nature Biotechnology. 21(6). 645–651. 158 indexed citations
3.
Haag, Jill D., et al.. (2003). Congenic rats reveal three independent Copenhagen alleles within the Mcs1 quantitative trait locus that confer resistance to mammary cancer.. PubMed. 63(18). 5808–12. 16 indexed citations
4.
Hong, Lan, Christina Kendziorski, Jill D. Haag, et al.. (2001). Genetic Loci Controlling Breast Cancer Susceptibility in the Wistar-Kyoto Rat. Genetics. 157(1). 331–339. 51 indexed citations
5.
Haag, Jill D., L.A. Shepel, Michael A. Newton, et al.. (1999). A comparative analysis of allelic imbalance events in chemically induced rat mammary, colon, and bladder tumors. Molecular Carcinogenesis. 24(1). 47–56. 12 indexed citations
6.
Shepel, L.A. & M.N. Gould. (1999). The Genetic Components of Susceptibility to Breast Cancer in the Rat. PubMed. 35. 158–169. 24 indexed citations
7.
Hong, Lan, L.A. Shepel, Jill D. Haag, & Michael N. Gould. (1999). Linkage mapping of rat Chromosome 5 markers generated from chromosome-specific libraries. Mammalian Genome. 10(7). 687–691. 7 indexed citations
8.
Shepel, L.A., et al.. (1999). Genetic mapping of the rat <i>Lcn2</i> gene to chromosome 3. Cytogenetic and Genome Research. 87(3-4). 273–274. 2 indexed citations
9.
Shepel, L.A., et al.. (1998). Mapping of 55 new rat microsatellite markers from chromosome-specific libraries. Mammalian Genome. 9(8). 622–628. 13 indexed citations
10.
Shepel, L.A., Lan Hong, Jill D. Haag, et al.. (1998). Genetic Identification of Multiple Loci That Control Breast Cancer Susceptibility in the Rat. Genetics. 149(1). 289–299. 75 indexed citations
11.
Shepel, L.A., et al.. (1997). Genetic linkage mapping of 11 novel DNA markers and the ceruloplasmin (<i>Cp</i>) gene on rat chromosome 2. Cytogenetic and Genome Research. 79(3-4). 176–178. 3 indexed citations
12.
Chen, Kai-Shun, et al.. (1996). ACCELERATED PAPER: Cloning, genetic mapping and expression studies of the rat Brca1 gene. Carcinogenesis. 17(8). 1561–1566. 20 indexed citations
13.
Shepel, L.A., et al.. (1994). Bivariate Flow Karyotyping, Sorting, and Peak Assignment of All Rat Chromosomes. Genomics. 19(1). 75–85. 14 indexed citations
14.
Hsu, Lih‐Ching, Wendy S. Kennan, L.A. Shepel, et al.. (1994). Genetic identification of Mcs-1, a rat mammary carcinoma suppressor gene.. PubMed. 54(10). 2765–70. 47 indexed citations
15.
Shepel, L.A. & Jack Gorski. (1990). Relationship of polymorphisms near the rat prolactin, N-ras, and retinoblastoma genes with susceptibility to estrogen-induced pituitary tumors.. PubMed. 50(24). 7920–5. 8 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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