Keith E. Murphy
Impact in
Papers in
-
- Wnt/β-catenin signaling in development and cancer 4
- Genetics 26
- Animal Genetics and Reproduction 10
- Human-Animal Interaction Studies 6
- Co-authors
- Leigh Anne Clark (20 shared papers)Françoise Marga (1 shared paper)Gordana Vunjak‐Novakovic (1 shared paper)Cyrille Norotte (1 shared paper)Károly Jakab (1 shared paper)Gabor Forgács (1 shared paper)Kimberly A. Greer (6 shared papers)Jacquelyn M. Wahl (6 shared papers)
- Journals
- Mammalian Genome (8 papers)American Journal of Veterinary Research (6 papers)Cytogenetic and Genome Research (5 papers)Journal of Veterinary Internal Medicine (4 papers)Genomics (3 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Keith E. Murphy
68 papers receiving 2.3k citations
Keith E. Murphy's Hit Papers
Peers
Comparison fields: 5 of 136
- Equine 42
- Genetics 686
- Small Animals 167
- Aging 37
- Cell Biology 271
Countries citing papers authored by Keith E. Murphy
This map shows the geographic impact of Keith E. Murphy'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 Keith E. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith E. Murphy more than expected).
Fields of papers citing papers by Keith E. Murphy
This network shows the impact of papers produced by Keith E. Murphy. 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 Keith E. Murphy. The network helps show where Keith E. Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith E. Murphy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tissue engineering by self-assembly and bio-printing of living cells Hit paper breakdown → | 2010 | 502 |
| 2 | 2002 | 425 | |
| 3 | 2006 | 195 | |
| 4 | 2006 | 187 | |
| 5 | 2007 | 83 | |
| 6 | 2008 | 79 | |
| 7 | 1985 | 73 | |
| 8 | 2007 | 62 | |
| 9 | 1997 | 49 | |
| 10 | 2003 | 46 | |
| 11 | 2004 | 46 | |
| 12 | 1986 | 40 | |
| 13 | 2004 | 37 | |
| 14 | 2008 | 31 | |
| 15 | 2007 | 28 | |
| 16 | 2002 | 27 | |
| 17 | 2002 | 27 | |
| 18 | 2005 | 23 | |
| 19 | 1996 | 23 | |
| 20 | 2011 | 22 |
About Keith E. Murphy
Keith E. Murphy is a scholar working on Molecular Biology, Genetics, Cell Biology, Surgery and Small Animals, having authored 69 papers that have together received 2.4k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (10 papers), Human-Animal Interaction Studies (6 papers), Skin and Cellular Biology Research (6 papers), Vector-Borne Animal Diseases (4 papers), melanin and skin pigmentation (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Hair Growth and Disorders (4 papers) and Veterinary Orthopedics and Neurology (4 papers). The work is most often cited by research in Equine (42 citations), Genetics (686 citations), Small Animals (167 citations), Aging (37 citations) and Cell Biology (271 citations). Keith E. Murphy has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Leigh Anne Clark, Françoise Marga, Gordana Vunjak‐Novakovic, Cyrille Norotte, Károly Jakab, Gabor Forgács, Kimberly A. Greer, Jacquelyn M. Wahl, Kate L. Tsai and Christine A. Rees. Their work appears in journals such as Mammalian Genome, American Journal of Veterinary Research, Cytogenetic and Genome Research, Journal of Veterinary Internal Medicine and Genomics.
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.