Jean-Marie U-King-Im

1.4k citations
11 papers · 962 indexed · h-index 8

Jean-Marie U-King-Im

11 papers receiving 943 citations

Peers

Jean-Marie U-King-Im
Comparison fields: 5 of 73
  • Radiology, Nuclear Medicine and Imaging 397
  • Pulmonary and Respiratory Medicine 539
  • Cardiology and Cardiovascular Medicine 323
  • Biomaterials 113
  • Immunology 139
Replace Natalia Maldonado with:
Natalia Maldonado United States
Vitali Verin Switzerland
Victoria Young United Kingdom
Rene Botnar Germany
J. U-King-Im United Kingdom
Gustavo D. Cipolla United States
Naoki Toma Japan
Bing Wu China
Jill Wylie‐Sears United States
Patricia E. Beighley United States
Jean-Marie U-King-Im relative to Natalia Maldonado United States Natalia Maldonado's profile →
Citations per field
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Natalia Maldonado · 1×
Citations per year

Countries citing papers authored by Jean-Marie U-King-Im

Since Specialization
Citations

This map shows the geographic impact of Jean-Marie U-King-Im'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 Jean-Marie U-King-Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Marie U-King-Im more than expected).

Fields of papers citing papers by Jean-Marie U-King-Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Marie U-King-Im. 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 Jean-Marie U-King-Im. The network helps show where Jean-Marie U-King-Im may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jean-Marie U-King-Im, 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 Jean-Marie U-King-Im Line = papers co-authored together Jean-Marie U-King-Im links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20234
2 20165
3 20161
4 201422
5 201316
6 2009296
7 200714
8 2006269
9 200513
10 200497
11 2004225

About Jean-Marie U-King-Im

Jean-Marie U-King-Im is a scholar working on Otorhinolaryngology, Sensory Systems and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 962 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (6 papers), Acute Ischemic Stroke Management (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Moyamoya disease diagnosis and treatment (1 paper), Hearing, Cochlea, Tinnitus, Genetics (1 paper), Tuberous Sclerosis Complex Research (1 paper), Neurological Complications and Syndromes (1 paper) and Cardiovascular Disease and Adiposity (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (397 citations), Pulmonary and Respiratory Medicine (539 citations) and Cardiology and Cardiovascular Medicine (323 citations). Jean-Marie U-King-Im has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Jonathan H. Gillard, Martin J. Graves, Peter J. Kirkpatrick, Rikin Trivedi, Martin Goddard, Jo Horsley, Andy Brown, John Brown, Liqun Wang and Elizabeth A. Warburton. Their work appears in journals such as Neuroradiology, World Neurosurgery, European Journal of Pediatrics, Arteriosclerosis Thrombosis and Vascular Biology and Journal of the American College of Cardiology.

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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