Jacky Hurst

2.1k citations
24 papers · 1.8k · h-index 14

Impact in

  • Genetics top 5%
    • Animal Genetics and Reproduction
    • Hemoglobinopathies and Related Disorders
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer

Papers in

Jacky Hurst

24 papers receiving 1.6k citations

Peers

Jacky Hurst
Comparison fields: 5 of 90
  • Genetics 225
  • Molecular Biology 1.3k
  • Genetics 531
  • Immunology 279
  • Hematology 105
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Citations per field
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Citations per year

Countries citing papers authored by Jacky Hurst

Since Specialization
Citations

This map shows the geographic impact of Jacky Hurst'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 Jacky Hurst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacky Hurst more than expected).

Fields of papers citing papers by Jacky Hurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacky Hurst. 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 Jacky Hurst. The network helps show where Jacky Hurst may publish in the future.

Co-authors

The 25 scholars most cited alongside Jacky Hurst, 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 Jacky Hurst Line = papers co-authored together Jacky Hurst links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983408
2 1983254
3 1986238
4 1986170
5 1990166
6 1987140
7 198295
8 198683
9 199354
10 198550
11
Junctional intercellular communication pattern of cultured human breast cancer cells.
197936
12 198735
13
Expression of mdm-2 oncoprotein in the primary and metastatic sites of mammary tumor (GI-101) implanted athymic nude mice.
199916
14 199014
15 199411
16
The regulation of expression of human beta-globin genes.
19877
17 19815
18
The beta-globin dominant control region.
19895
19 20165
20 19933

About Jacky Hurst

Jacky Hurst is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Genetics and Immunology, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Animal Genetics and Reproduction (5 papers), Genomics and Chromatin Dynamics (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Epigenetics and DNA Methylation (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Genetics (225 citations), Molecular Biology (1.3k citations), Genetics (531 citations), Immunology (279 citations) and Hematology (105 citations). Jacky Hurst has collaborated with scholars based in Tanzania, United Kingdom and United States. Frequent co-authors include Frank G. Grosveld, Richard Anthony Flavell, Meinrad Busslinger, George Kollias, Peter Fraser, Elizabeth Simpson, Phil Collis, L. Golden, Karen A. Fahrner and E. H. Weiss. Their work appears in journals such as Nucleic Acids Research, Cell, Nature, Breast Cancer Research and Treatment and Philosophical Transactions of the Royal Society B Biological Sciences.

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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