Julia J. Gorski
- Cancer Research top 10%
- Oncology top 10%
- Molecular Biology top 10%
- DNA Repair Mechanisms 7
- CRISPR and Genetic Engineering 7
- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 2
- Gene expression and cancer classification 2
- Genetics top 10%
- BRCA gene mutations in cancer 10
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- Genetically Modified Organisms Research 2
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- Occupational and environmental lung diseases 2
- Co-authors
- D. Paul HarkinPaul B. MullanRichard D. KennedyAlison M. HoseyKienan I. SavageNiamh E. BuckleyNyree CrawfordJude M. Mulligan
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Julia J. Gorski
20 papers receiving 919 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 212
- Oncology 312
- Molecular Biology 732
- Genetics 270
- Pathology and Forensic Medicine 63
Countries citing papers authored by Julia J. Gorski
This map shows the geographic impact of Julia J. Gorski'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 Julia J. Gorski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia J. Gorski more than expected).
Fields of papers citing papers by Julia J. Gorski
This network shows the impact of papers produced by Julia J. Gorski. 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 Julia J. Gorski. The network helps show where Julia J. Gorski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julia J. Gorski, 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 | 2016 | 19 | |
| 2 | 2014 | 8 | |
| 3 | 2014 | 9 | |
| 4 | 2014 | 77 | |
| 5 | 2013 | 44 | |
| 6 | 2013 | 13 | |
| 7 | 2013 | 1 | |
| 8 | 2011 | 39 | |
| 9 | 2011 | 73 | |
| 10 | 2010 | 98 | |
| 11 | 2009 | 64 | |
| 12 | 2009 | 48 | |
| 13 | 2007 | 77 | |
| 14 | 2007 | 159 | |
| 15 | 2007 | 45 | |
| 16 | 2006 | 26 | |
| 17 | 2006 | 21 | |
| 18 | 2005 | 71 | |
| 19 | 2004 | 37 | |
| 20 | Polyclonal antibodies from rabbits and chickens against the estrogen receptor and related peptides. Use in the affinity isolation of estrogen receptors and the retrieval of chromatin fragments associating with estrogen receptors. | 1992 | 2 |
About Julia J. Gorski
Julia J. Gorski is a scholar working on Genetics, Molecular Biology and Reproductive Medicine, having authored 20 papers that have together received 931 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (10 papers), DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (7 papers), Genomics and Chromatin Dynamics (5 papers), Genetically Modified Organisms Research (2 papers), Occupational and environmental lung diseases (2 papers), RNA Research and Splicing (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Cancer Research (212 citations), Oncology (312 citations) and Molecular Biology (732 citations). Julia J. Gorski has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include D. Paul Harkin, Paul B. Mullan, Richard D. Kennedy, Alison M. Hosey, Kienan I. Savage, Niamh E. Buckley, Nyree Crawford, Jude M. Mulligan, Patrick G. Johnston and Mary T. Harte. Their work appears in journals such as Nucleic Acids Research, The EMBO Journal and Molecular Cell.
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.