Fergus Ryan

1.1k citations
30 papers · 946 · h-index 15

Impact in

Papers in

Fergus Ryan

28 papers receiving 912 citations

Peers

Fergus Ryan
Comparison fields: 5 of 92
  • Genetics 334
  • Endocrinology, Diabetes and Metabolism 186
  • Molecular Biology 534
  • Obstetrics and Gynecology 51
  • Cancer Research 94
Replace Mark D. Crew with:
Mark D. Crew United States
Natalie K. Ryan Australia
Carlos Pipaón Spain
Vincenzo Papa Italy
Jennifer Lo Australia
José-Luis Castrillo United States
Tzulip Phang United States
Marta Blumenfeld France
Priyanka Sharma India
W.G. Kearns United States
Fergus Ryan relative to Mark D. Crew United States Mark D. Crew's profile →
Citations per field
00.5×6.4×
Mark D. Crew · 1×
Citations per year

Countries citing papers authored by Fergus Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Fergus Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995380
2 199972
3 201263
4 200762
5
Characterisation of functional inhibition of the glucocorticoid receptor by Fos/Jun.
199155
6 199853
7 200545
8 201133
9 201029
10 201220
11 199119
12
The role of claudin-1 and claudin-7 in cervical tumorigenesis.
201416
13 200215
14 201215
15
mos-induced inhibition of glucocorticoid receptor function is mediated by Fos.
199114
16 200813
17 20047
18 20155
19 20195
20
Ireland’s Marriage Referendum: A Constitutional Perspective
20154

About Fergus Ryan

Fergus Ryan is a scholar working on Molecular Biology, Epidemiology, Political Science and International Relations, Genetics and Oncology, having authored 30 papers that have together received 946 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), International Human Rights and Reproductive Law (3 papers), Cervical Cancer and HPV Research (3 papers), Mitochondrial Function and Pathology (3 papers), Discrimination and Equality Law (3 papers), Conflict of Laws and Jurisdiction (2 papers), ATP Synthase and ATPases Research (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Genetics (334 citations), Endocrinology, Diabetes and Metabolism (186 citations), Molecular Biology (534 citations), Obstetrics and Gynecology (51 citations) and Cancer Research (94 citations). Fergus Ryan has collaborated with scholars based in Ireland, Sweden and Switzerland. Frequent co-authors include David D. Moore, Stephen Albert Johnston, Jae Woon Lee, Jonathan C. Swaffield, David Barton, Stefan Schwartz, F. Martin, Rolf Jaggi, Musa Touray and Benjamin Gläser. Their work appears in journals such as Journal of Clinical Microbiology, Eye and Vision, Diabetes, American Journal of Obstetrics and Gynecology and Nature.

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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