Stephen Horrigan

1.1k citations
42 papers · 817 · h-index 17

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • TGF-β signaling in diseases
    • Wnt/β-catenin signaling in development and cancer
    • Histone Deacetylase Inhibitors Research
    • RNA modifications and cancer

Papers in

    • Cancer-related gene regulation 7
    • Ubiquitin and proteasome pathways 5
    • Protein Degradation and Inhibitors 4
    • Genomics and Chromatin Dynamics 4
    • RNA Research and Splicing 3
    • Histone Deacetylase Inhibitors Research 3
    • Acute Myeloid Leukemia Research 11

Stephen Horrigan

37 papers receiving 796 citations

Peers

Stephen Horrigan
Comparison fields: 5 of 81
  • Hematology 203
  • Molecular Biology 559
  • Cancer Research 95
  • Genetics 58
  • Oncology 147
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Horrigan

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Horrigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201482
2 200080
3 199874
4 200162
5 199259
6 201752
7 199443
8 201739
9 199735
10 200027
11 199822
12 201520
13 199719
14 201918
15 199818
16 200016
17
Synthesis of soluble and insoluble elastins in cultures of chick aortic cells.
198816
18 199915
19 201715
20 201813

About Stephen Horrigan

Stephen Horrigan is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Pathology and Forensic Medicine, having authored 42 papers that have together received 817 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Cancer-related gene regulation (7 papers), Ubiquitin and proteasome pathways (5 papers), Protein Degradation and Inhibitors (4 papers), Peptidase Inhibition and Analysis (4 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Hematology (203 citations), Molecular Biology (559 citations), Cancer Research (95 citations), Genetics (58 citations) and Oncology (147 citations). Stephen Horrigan has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Carol A. Westbrook, Zarema Arbieva, Noreen Fulton, Celeste B. Rich, Ronald Hoffman, Barbara W. Streeten, Z. Li, J.A. Foster, Kapil N. Bhalla and E Bruno. Their work appears in journals such as Blood, PLoS ONE, Leukemia, Genomics and Molecular Cancer Therapeutics.

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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