J. U-King-Im

1.1k citations
26 papers · 963 · h-index 15

Impact in

Papers in

J. U-King-Im

26 papers receiving 930 citations

Peers

J. U-King-Im
Comparison fields: 5 of 72
  • Pulmonary and Respiratory Medicine 490
  • Neurology 195
  • Radiology, Nuclear Medicine and Imaging 233
  • Cardiology and Cardiovascular Medicine 182
  • Epidemiology 167
Replace Timothy Carroll with:
Timothy Carroll United States
Victoria E. L. Young United Kingdom
Minako Oikawa United States
L. W. Poll Germany
Hiroaki Osada Japan
Vitali E. Verin Switzerland
Mitsuhiro Isaka Japan
Jiawei Zhao China
Jon C. George United States
Takayuki Nojima Japan
J. U-King-Im relative to Timothy Carroll United States Timothy Carroll's profile →
Citations per field
00.5×1.5×2×2.4×
Timothy Carroll · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005135
2 2008103
3 200489
4 201087
5 200464
6 200755
7 200455
8 200853
9 200749
10 200844
11 200534
12 200424
13 200924
14 200422
15 201815
16 200715
17 202215
18 200614
19 200814
20 201113

About J. U-King-Im

J. U-King-Im is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Epidemiology, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 963 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (16 papers), Cardiovascular Health and Disease Prevention (6 papers), Acute Ischemic Stroke Management (5 papers), Coronary Interventions and Diagnostics (2 papers), Cardiac Imaging and Diagnostics (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Vascular Procedures and Complications (1 paper) and Botulinum Toxin and Related Neurological Disorders (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (490 citations), Neurology (195 citations), Radiology, Nuclear Medicine and Imaging (233 citations), Cardiology and Cardiovascular Medicine (182 citations) and Epidemiology (167 citations). J. U-King-Im has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jonathan H. Gillard, Rikin A Trivedi, Martin John Graves, Peter J. Kirkpatrick, Simon P.S. Howarth, Tjun Yip Tang, Zhiyong Zhang Shenmao Li, Sam R. Miller, Michael E. Gaunt and Justin Cross. Their work appears in journals such as Clinical Radiology, European Journal of Vascular and Endovascular Surgery, Journal of Neurology Neurosurgery & Psychiatry, Neurology and Journal of Vascular Surgery.

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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