Gerry Conway

1.2k citations
7 papers · 597 · h-index 5

Impact in

Papers in

Gerry Conway

7 papers receiving 590 citations

Peers

Gerry Conway
Comparison fields: 5 of 48
  • Endocrinology, Diabetes and Metabolism 386
  • Urology 101
  • Clinical Biochemistry 96
  • Reproductive Medicine 74
  • Molecular Biology 500
Replace W Hoepffner with:
W Hoepffner Germany
Mikael Holst Sweden
Maud Bidet France
A. B. Arthur United States
Eunice Marumudi India
L Prentice United States
J. Guerrero-Fernández Spain
Annick Lecoq France
Diemud Simm Germany
Jennifer Kyllo United States
Gerry Conway relative to W Hoepffner Germany W Hoepffner's profile →
Citations per field
00.5×3.4×
W Hoepffner · 1×
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 2010351
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 Endocrinology, Diabetes and Metabolism, having authored 7 papers that have together received 597 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (3 papers), Cloud Computing and Resource Management (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Technology Adoption and User Behaviour (2 papers), Hormonal and reproductive studies (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Calpain Protease Function and Regulation (1 paper) and Cloud Data Security Solutions (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (386 citations), Urology (101 citations), Clinical Biochemistry (96 citations), Reproductive Medicine (74 citations) and Molecular Biology (500 citations). Gerry Conway has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Nils Krone, Wiebke Arlt, Debbie Willis, Paul Carroll, Brian R. Walker, Sarah H. Wild, Thang S. Han, Roland H. Stimson, Richard Ross and Stefanie Hahner. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth) and Maynooth University ePrints and eTheses Archive (Maynooth University).

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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