John Ryan

50 papers receiving 583 citations

Peers

John Ryan
Comparison fields: 5 of 123
  • Family Practice 20
  • Radiology, Nuclear Medicine and Imaging 148
  • Obstetrics and Gynecology 48
  • Applied Mathematics 67
  • Health Informatics 5
Replace V. Franke with:
V. Franke United Kingdom
Gilles R. Ducharme Canada
Shu-Jen Yeh Taiwan
Wim Vos Belgium
Nikolai D. Botkin Germany
Paul A. Larson United States
James C. Perry United States
Braden Goddard United States
Anke Neumann France
John Ryan relative to V. Franke United Kingdom V. Franke's profile →
Citations per field
00.5×1.7×
V. Franke · 1×
Citations per year

Countries citing papers authored by John Ryan

Since Specialization
Citations

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

Fields of papers citing papers by John Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201161
2 200459
3 201059
4 201537
5 201233
6 200529
7 201128
8 197125
9 197818
10 201516
11 200816
12 201915
13 201215
14 201115
15 201214
16 199013
17 201512
18 202012
19 201212
20 201112

About John Ryan

John Ryan is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Applied Mathematics, Artificial Intelligence and Obstetrics and Gynecology, having authored 52 papers that have together received 619 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (8 papers), Algebraic and Geometric Analysis (7 papers), Radiology practices and education (5 papers), Pregnancy and preeclampsia studies (5 papers), AI in cancer detection (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), Holomorphic and Operator Theory (3 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Family Practice (20 citations), Radiology, Nuclear Medicine and Imaging (148 citations), Obstetrics and Gynecology (48 citations), Applied Mathematics (67 citations) and Health Informatics (5 citations). John Ryan has collaborated with scholars based in Ireland, Australia and United States. Frequent co-authors include Michael G. Evanoff, Patrick Brennan, Mark F. McEntee, J.P. McNulty, Louise Rainford, Fionnuala M. McAuliffe, Warren Reed, Shane Foley, Dev P. Chakraborty and David Manning. Their work appears in journals such as British Journal of Radiology, The Canadian Journal of Chemical Engineering, American Journal of Roentgenology, Academic Radiology and International Journal of Pavement Engineering.

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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