A E Hornby

615 citations
7 papers · 540 · h-index 7

Impact in

  • Genetics top 10%
    • Estrogen and related hormone effects
    • Cytokine Signaling Pathways and Interactions
    • HER2/EGFR in Cancer Research

Papers in

    • Fibroblast Growth Factor Research 1
    • Connective Tissue Growth Factor Research 1
    • Estrogen and related hormone effects 2

A E Hornby

7 papers receiving 526 citations

Peers

A E Hornby
Comparison fields: 5 of 70
  • Genetics 265
  • Oncology 145
  • Molecular Biology 304
  • Cancer Research 62
  • Toxicology 14
Replace Hironori Kunisue with:
Hironori Kunisue Japan
J Goussard France
Samir M. Shafie United States
P Briand Denmark
Alicia Parkes United Kingdom
Kathleen Meeke United States
Jennifer M. Grad United States
Emi Arimoto‐Ishida Japan
Catherine G.N. Sharma United States
Carol M. Dutkowski United Kingdom
A E Hornby relative to Hironori Kunisue Japan Hironori Kunisue's profile →
Citations per field
00.5×1.5×
Hironori Kunisue · 1×
Citations per year

Countries citing papers authored by A E Hornby

Since Specialization
Citations

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

Fields of papers citing papers by A E Hornby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A E Hornby. 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 A E Hornby. The network helps show where A E Hornby may publish in the future.

Co-authors

The 18 scholars most cited alongside A E Hornby, 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 A E Hornby Line = papers co-authored together A E Hornby links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2000176
2
Expression of estrogen receptor beta messenger RNA variant in breast cancer.
1998144
3
Expression and function of CYR61, an angiogenic factor, in breast cancer cell lines and tumor biopsies.
2000107
4 199372
5 199220
6 199311
7 199510

About A E Hornby

A E Hornby is a scholar working on Molecular Biology, Genetics, Oncology, Cell Biology and Organic Chemistry, having authored 7 papers that have together received 540 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Cholesterol and Lipid Metabolism (1 paper), Cancer, Lipids, and Metabolism (1 paper), Click Chemistry and Applications (1 paper), Fibroblast Growth Factor Research (1 paper), Connective Tissue Growth Factor Research (1 paper) and Photodynamic Therapy Research Studies (1 paper). The work is most often cited by research in Genetics (265 citations), Oncology (145 citations), Molecular Biology (304 citations), Cancer Research (62 citations) and Toxicology (14 citations). A E Hornby has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ruth Lupu, Johnathon N. Lakins, Harald Funke, B Jacotot, Heiko Wiebusch, Corradino Motti, Jie Pan, C. Dachet, Arnold von Eckardstein and Michael R. Hayden. Their work appears in journals such as Journal of Clinical Investigation, Proceedings of the Fourth International Symposium on Polarization Phenomena in Nuclear Reactions, Biochemistry and Cell Biology, Oncology Reports and PubMed.

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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