Ruth Oliver

30 papers receiving 945 citations

Peers

Ruth Oliver
Comparison fields: 5 of 100
  • Neurology 160
  • Immunology 400
  • Dermatology 125
  • Rheumatology 193
  • Radiology, Nuclear Medicine and Imaging 204
Replace John V. Forrester with:
John V. Forrester United Kingdom
Thorsten Krieger Germany
Yihe Chen United States
Rosangela Lattanzio Italy
Paul P. Tak Netherlands
Zhan Feng China
Maurízio Battaglia Parodi Italy
Dai Dai China
Anke Salmen Switzerland
Ruth Oliver relative to John V. Forrester United Kingdom John V. Forrester's profile →
Citations per field
00.5×4.3×
John V. Forrester · 1×
Citations per year

Countries citing papers authored by Ruth Oliver

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ruth Oliver, 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 Ruth Oliver Line = papers co-authored together Ruth Oliver 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 2017204
2 2019138
3 2020117
4 200882
5 201468
6 201554
7 201553
8 200052
9 201433
10 202132
11 200027
12 202126
13 202214
14 202113
15 198211
16 20218
17 20148
18 20157
19 20196
20
Improved partial volume correction of ASL images using 3D kernels
20123

About Ruth Oliver

Ruth Oliver is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Computer Vision and Pattern Recognition, Genetics and Molecular Biology, having authored 30 papers that have together received 971 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (4 papers), T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Inflammatory Bowel Disease (4 papers), Dermatology and Skin Diseases (3 papers), Advanced Neural Network Applications (3 papers), Microscopic Colitis (3 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Neurology (160 citations), Immunology (400 citations), Dermatology (125 citations), Rheumatology (193 citations) and Radiology, Nuclear Medicine and Imaging (204 citations). Ruth Oliver has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Arcot Sowmya, Stevan Shaw, Pavan Vajjah, Meryn Griffiths, Alastair D. G. Lawson, Terry Baker, Lucian Ionescu, Dominique Baeten, Mark Watling and Sophie Glatt. Their work appears in journals such as Magnetic Resonance Materials in Physics Biology and Medicine, Gastroenterology, CPT Pharmacometrics & Systems Pharmacology, The Journal of Clinical Pharmacology and Clinical Infectious Diseases.

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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