J. U-King-Im

1.1k citations
23 papers · 820 · h-index 15

Impact in

Papers in

J. U-King-Im

23 papers receiving 805 citations

Peers

J. U-King-Im
Comparison fields: 5 of 70
  • Pulmonary and Respiratory Medicine 503
  • Neurology 205
  • Radiology, Nuclear Medicine and Imaging 266
  • Cardiology and Cardiovascular Medicine 245
  • Epidemiology 225
Replace Victoria Young with:
Victoria Young United Kingdom
Eric Suero Molina Germany
Jacek Kuśmierek Poland
L. Poll Germany
Federico Caobelli Switzerland
Gregory B. Wright United States
Jiawei Zhao China
Amol Mehta United States
Michael Schmidt Germany
Saksham Gupta United States
J. U-King-Im relative to Victoria Young United Kingdom Victoria Young's profile →
Citations per field
00.5×1.7×
Victoria Young · 1×
Citations per year

Countries citing papers authored by J. U-King-Im

Since Specialization
Citations

This map shows the geographic impact of J. 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 J. 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 J. U-King-Im more than expected).

Fields of papers citing papers by J. U-King-Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005119
2 200894
3 200485
4 201077
5 200456
6 200453
7 200746
8 200846
9 200744
10 200533
11 200923
12 200423
13 200421
14 200714
15 200614
16 200412
17 200812
18 201112
19 201812
20 200911

About J. U-King-Im

J. U-King-Im is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Epidemiology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 23 papers that have together received 820 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (15 papers), Cardiovascular Health and Disease Prevention (10 papers), Acute Ischemic Stroke Management (8 papers), Advanced MRI Techniques and Applications (3 papers), Coronary Interventions and Diagnostics (3 papers), Cardiac Imaging and Diagnostics (2 papers), Vascular Malformations Diagnosis and Treatment (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (503 citations), Neurology (205 citations), Radiology, Nuclear Medicine and Imaging (266 citations), Cardiology and Cardiovascular Medicine (245 citations) and Epidemiology (225 citations). J. U-King-Im has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Jonathan H. Gillard, Rikin Trivedi, Martin J. Graves, Peter J. Kirkpatrick, Simon Howarth, Tjun Yip Tang, Zhiyong Li, Michael E. Gaunt, Justin Cross and Sam R. Miller. Their work appears in journals such as Clinical Radiology, European Journal of Vascular and Endovascular Surgery, Journal of Neurology Neurosurgery & Psychiatry, Neurology and Neuroradiology.

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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