Loren C. Skow
- Equine top 2%
- Genetics top 1%
- Genetic and phenotypic traits in livestock 21
- Genetic Mapping and Diversity in Plants and Animals 20
- Animal Genetics and Reproduction 10
- Hemoglobinopathies and Related Disorders 7
- Cell Biology top 5%
- Immunology top 10%
- T-cell and B-cell Immunology 8
- Molecular Biology top 5%
- Connexins and lens biology 8
- Molecular Biology Techniques and Applications 7
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- Chromosomal and Genetic Variations 14
- Co-authors
- James E. WomackRodney L. HoneycuttTerje RaudseppSusan E. LewisJ. Andrew DeWoodyM. Lynn LamoreuxKaren J. MooreA.R. Ferré-D′Amaré
- Cited by
- EquineGeneticsCell Biology
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (5 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Loren C. Skow
90 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 111
- Equine 75
- Genetics 1.2k
- Cell Biology 447
- Immunology 400
- Molecular Biology 1.3k
Countries citing papers authored by Loren C. Skow
This map shows the geographic impact of Loren C. Skow'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 Loren C. Skow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loren C. Skow more than expected).
Fields of papers citing papers by Loren C. Skow
This network shows the impact of papers produced by Loren C. Skow. 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 Loren C. Skow. The network helps show where Loren C. Skow may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Loren C. Skow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 9 | |
| 2 | 2017 | 28 | |
| 3 | 2013 | 17 | |
| 4 | 2009 | 14 | |
| 5 | 2008 | 41 | |
| 6 | 2005 | 22 | |
| 7 | 2004 | 4 | |
| 8 | 2003 | 62 | |
| 9 | 2003 | 15 | |
| 10 | 1997 | 8 | |
| 11 | 1996 | 3 | |
| 12 | 1994 | 7 | |
| 13 | 1994 | 12 | |
| 14 | 1994 | 3 | |
| 15 | 1992 | 34 | |
| 16 | 1990 | 8 | |
| 17 | 1989 | 47 | |
| 18 | 1989 | 16 | |
| 19 | 1988 | 34 | |
| 20 | 1987 | 40 |
About Loren C. Skow
Loren C. Skow is a scholar working on Genetics, Cell Biology and Genetics, having authored 92 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (21 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers), Chromosomal and Genetic Variations (14 papers), Animal Genetics and Reproduction (10 papers), Connexins and lens biology (8 papers), T-cell and B-cell Immunology (8 papers), Molecular Biology Techniques and Applications (7 papers) and Hemoglobinopathies and Related Disorders (7 papers). The work is most often cited by research in Equine (75 citations), Genetics (1.2k citations) and Cell Biology (447 citations). Loren C. Skow has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include James E. Womack, Rodney L. Honeycutt, Terje Raudsepp, Susan E. Lewis, J. Andrew DeWoody, M. Lynn Lamoreux, Karen J. Moore, A.R. Ferré-D′Amaré, N G Copeland and S.K. Burley. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.