Fern E. Murdoch
Impact in
- Genetics top 5%
- Estrogen and related hormone effects
- Reproductive Medicine top 10%
Papers in
-
- DNA and Nucleic Acid Chemistry 7
- Genomics and Chromatin Dynamics 6
- Epigenetics and DNA Methylation 3
- RNA Research and Splicing 3
- Pluripotent Stem Cells Research 3
- Histone Deacetylase Inhibitors Research 2
- Genetics 15
- Estrogen and related hormone effects 14
- Co-authors
- Michael K. Fritsch (12 shared papers)J. David Furlow (5 shared papers)Jack Gorski (1 shared paper)Daniel A. Meier (3 shared papers)Kevin W. McCool (2 shared papers)J Górski (2 shared papers)Hisham M. Darwish (1 shared paper)H F DeLuca (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Biochemistry (5 papers)Experimental Cell Research (2 papers)Stem Cells (1 paper)Gene (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Fern E. Murdoch
25 papers receiving 818 citations
Peers
Comparison fields: 5 of 81
- Genetics 466
- Reproductive Medicine 68
- Molecular Biology 495
- Toxicology 21
- Immunology 108
Countries citing papers authored by Fern E. Murdoch
This map shows the geographic impact of Fern E. Murdoch'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 Fern E. Murdoch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fern E. Murdoch more than expected).
Fields of papers citing papers by Fern E. Murdoch
This network shows the impact of papers produced by Fern E. Murdoch. 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 Fern E. Murdoch. The network helps show where Fern E. Murdoch may publish in the future.
Co-authors
The 25 scholars most cited alongside Fern E. Murdoch, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 104 | |
| 2 | 1990 | 95 | |
| 3 | 1991 | 73 | |
| 4 | 2007 | 61 | |
| 5 | 1993 | 57 | |
| 6 | 2007 | 52 | |
| 7 | 1993 | 50 | |
| 8 | 2006 | 41 | |
| 9 | 1992 | 39 | |
| 10 | 2000 | 38 | |
| 11 | 2006 | 36 | |
| 12 | 1995 | 33 | |
| 13 | 1991 | 30 | |
| 14 | 2005 | 28 | |
| 15 | 2013 | 25 | |
| 16 | 2004 | 17 | |
| 17 | 2021 | 9 | |
| 18 | 2008 | 7 | |
| 19 | 1984 | 7 | |
| 20 | 2003 | 6 |
About Fern E. Murdoch
Fern E. Murdoch is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Oncology, having authored 25 papers that have together received 828 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), DNA and Nucleic Acid Chemistry (7 papers), Genomics and Chromatin Dynamics (6 papers), Reproductive System and Pregnancy (4 papers), Epigenetics and DNA Methylation (3 papers), RNA Research and Splicing (3 papers), Pluripotent Stem Cells Research (3 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Genetics (466 citations), Reproductive Medicine (68 citations), Molecular Biology (495 citations), Toxicology (21 citations) and Immunology (108 citations). Fern E. Murdoch has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael K. Fritsch, J. David Furlow, Jack Gorski, Daniel A. Meier, Kevin W. McCool, J Górski, Hisham M. Darwish, H F DeLuca, Craig V. Smith and Erwin Goldberg. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Experimental Cell Research, Stem Cells and Gene.
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.