Fern E. Murdoch

979 citations
25 papers · 828 indexed · h-index 16
  • Genetics top 5%
    • Estrogen and related hormone effects 14
    • DNA and Nucleic Acid Chemistry 7
    • Genomics and Chromatin Dynamics 6
    • Pluripotent Stem Cells Research 3
    • Epigenetics and DNA Methylation 3
    • RNA Research and Splicing 3
    • Histone Deacetylase Inhibitors Research 2
  • Toxicology top 10%
    • Reproductive System and Pregnancy 4

Fern E. Murdoch

25 papers receiving 818 citations

Peers

Fern E. Murdoch
Comparison fields: 5 of 81
  • Genetics 466
  • Reproductive Medicine 68
  • Molecular Biology 495
  • Toxicology 21
  • Immunology 108
Replace Tracy Ediger with:
Tracy Ediger United States
Michele Raviscioni Italy
Larry N. Petz United States
Nicolas Poujol France
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D M Ignar-Trowbridge United States
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Taisuke Nakata Japan
C. T. Graeber United States
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Fern E. Murdoch relative to Tracy Ediger United States Tracy Ediger's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Fern E. Murdoch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Fern E. Murdoch Line = papers co-authored together Fern E. Murdoch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201325
2 20087
3 200752
4 20075
5 200641
6 200528
7 200417
8 20036
9 20015
10 19995
11 199533
12 199350
13 199357
14 199239
15 199130
16 199173
17 1991104
18 199095
19 19904
20
The estrogen receptor: Mechanism of action and relationship to human breast cancer
19881

About Fern E. Murdoch

Fern E. Murdoch is a scholar working on Genetics, Toxicology, Reproductive Medicine, Molecular Biology and Immunology, 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), Pluripotent Stem Cells Research (3 papers), Epigenetics and DNA Methylation (3 papers), RNA Research and Splicing (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, H F DeLuca, Craig V. Smith, Hisham M. Darwish 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.

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