Gary Beale

947 citations
16 papers · 814 · h-index 12

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology
    • PARP inhibition in cancer therapy

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • RNA Interference and Gene Delivery 2
    • PI3K/AKT/mTOR signaling in cancer 2

Gary Beale

16 papers receiving 794 citations

Peers

Gary Beale
Comparison fields: 5 of 61
  • Hepatology 134
  • Oncology 125
  • Epidemiology 162
  • Molecular Biology 299
  • Pharmaceutical Science 22
Replace Mohammed Benkheil with:
Mohammed Benkheil Belgium
Guangmin Xi China
Serena Vegna Netherlands
Jon Voutila United Kingdom
Harry A. Rogoff United States
Bingyi Lin China
Shaojie Jiang China
Hongfang Sun China
Suqin Shen China
Donghai Jiang China
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Citations per field
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Citations per year

Countries citing papers authored by Gary Beale

Since Specialization
Citations

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

Fields of papers citing papers by Gary Beale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2011171
2 2008168
3 2008110
4 200968
5 201262
6 201649
7 200344
8 200242
9 200123
10 201618
11 199714
12 202214
13 201512
14 199711
15 20167
16 20121

About Gary Beale

Gary Beale is a scholar working on Hepatology, Molecular Biology, Cell Biology, Pharmaceutical Science and Epidemiology, having authored 16 papers that have together received 814 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), RNA Interference and Gene Delivery (2 papers), Liver Disease Diagnosis and Treatment (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Sulfur-Based Synthesis Techniques (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Hepatology (134 citations), Oncology (125 citations), Epidemiology (162 citations), Molecular Biology (299 citations) and Pharmaceutical Science (22 citations). Gary Beale has collaborated with scholars based in United Kingdom, Italy and Kuwait. Frequent co-authors include Helen Louise Reeves, Christopher Paul Day, Suzanne Kyle, David R. Newell, Gillian Patman, Luca Miele, Emma J. Haagensen, Dipankar Chattopadhyay, Derek Manas and Stephen F. Stewart. Their work appears in journals such as British Journal of Cancer, FEBS Letters, BMC Cancer, Gastroenterology and Liver Cancer.

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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