Gerry Conway

1.2k citations
7 papers · 601 · h-index 5

Impact in

Papers in

    • Sexual Differentiation and Disorders 3
    • Peroxisome Proliferator-Activated Receptors 1
    • Cloud Computing and Resource Management 3
    • Cloud Data Security Solutions 1

Gerry Conway

7 papers receiving 594 citations

Peers

Gerry Conway
Comparison fields: 5 of 46
  • Endocrinology, Diabetes and Metabolism 213
  • Urology 69
  • Clinical Biochemistry 53
  • Reproductive Medicine 60
  • Molecular Biology 477
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Citations per year

Countries citing papers authored by Gerry Conway

Since Specialization
Citations

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

Fields of papers citing papers by Gerry Conway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2010355
2 201199
3 201376
4 200260
5
Understanding and Supporting Cloud Computing Adoption in IrishSmall and Medium Sized Enterprises (SMEs)
20138
6
Enterprise Cloud Adoption - Cloud Maturity Assessment Model
20172
7
Understanding and SupportingCloud Computing Adoption in IrishSmall- and Medium-Sized Enterprises
20131

About Gerry Conway

Gerry Conway is a scholar working on Molecular Biology, Information Systems, Management Information Systems, Information Systems and Management and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 601 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (3 papers), Sexual Differentiation and Disorders (3 papers), Technology Adoption and User Behaviour (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Cloud Data Security Solutions (1 paper), Lipid metabolism and disorders (1 paper) and Urological Disorders and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (213 citations), Urology (69 citations), Clinical Biochemistry (53 citations), Reproductive Medicine (60 citations) and Molecular Biology (477 citations). Gerry Conway has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Wiebke Arlt, Debbie Willis, Nils Krone, Brian R. Walker, Roland H. Stimson, Thang S. Han, Richard Ross, Paul Carroll, Sarah H. Wild and Stefanie Hahner. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Maynooth University ePrints and eTheses Archive (Maynooth University) and MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth).

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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