J Kew

40 papers receiving 1.7k citations

Peers

J Kew
Comparison fields: 5 of 86
  • Neurology 746
  • Neurology 270
  • Anesthesiology and Pain Medicine 96
  • Otorhinolaryngology 49
  • Cognitive Neuroscience 202
Replace Urs D. Schmid with:
Urs D. Schmid Switzerland
Enrico Alfonsi Italy
Walter J. Levy United States
Paul A. Grabb United States
Domenico A. Restivo Italy
Juergen E. Thomas United States
Frederick A. Simeone United States
James R. Keane United States
Wellingson Silva Paiva Brazil
John P. Conomy United States
J Kew relative to Urs D. Schmid Switzerland Urs D. Schmid's profile →
Citations per field
00.5×3.7×
Urs D. Schmid · 1×
Citations per year

Countries citing papers authored by J Kew

Since Specialization
Citations

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

Fields of papers citing papers by J Kew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994233
2 1996227
3 1993220
4 1993209
5 2003117
6 199989
7 199471
8
Head and neck lipomas: sonographic appearance.
199869
9 200060
10 199757
11 199550
12 200042
13 200041
14 199936
15
Dementia with motor neurone disease.
199231
16
Madelung disease: distribution of cervical fat and preoperative findings at sonography, MR, and CT.
199824
17
Magnetic resonance imaging of the eustachian tube in nasopharyngeal carcinoma: correlation of patterns of spread with middle ear effusion.
199923
18 199822
19 200321
20 200016

About J Kew

J Kew is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Neurology, Rheumatology and Infectious Diseases, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (7 papers), Bone Tumor Diagnosis and Treatments (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Oral and Maxillofacial Pathology (3 papers), Tracheal and airway disorders (3 papers), Musculoskeletal synovial abnormalities and treatments (3 papers) and Transcranial Magnetic Stimulation Studies (3 papers). The work is most often cited by research in Neurology (746 citations), Neurology (270 citations), Anesthesiology and Pain Medicine (96 citations), Otorhinolaryngology (49 citations) and Cognitive Neuroscience (202 citations). J Kew has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include David J. Brooks, P. Nigel Leigh, R. S. J. Frackowiak, R.E. Passingham, Laura H. Goldstein, Sharon Abrahams, John C. Rothwell, Anil T. Ahuja, Cyndy Lloyd and Chris Frith. Their work appears in journals such as Clinical Radiology, Brain, Journal of Neurophysiology, Archives of Orthopaedic and Trauma Surgery and Journal of the Neurological Sciences.

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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