Kyle Wu

40 papers receiving 269 citations

Peers

Kyle Wu
Comparison fields: 5 of 76
  • Health Informatics 11
  • Neurology 43
  • Surgery 117
  • Computer Vision and Pattern Recognition 48
  • Molecular Medicine 11
Replace Abdul Karim Ghaith with:
Abdul Karim Ghaith United States
Archis R. Bhandarkar United States
Omaditya Khanna United States
In Suck Suh South Korea
Cherng-Kang Perng Taiwan
Frank A. De Stefano United States
Michael L. Gimbel United States
Cyrill Dennler Switzerland
Stefano Taboni Italy
Michael Fagerlund Sweden
Kyle Wu relative to Abdul Karim Ghaith United States Abdul Karim Ghaith's profile →
Citations per field
00.5×10×15×20×24×
Abdul Karim Ghaith · 1×
Citations per year

Countries citing papers authored by Kyle Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201473
2 202427
3 201921
4 201319
5 202415
6 201614
7 201910
8 20169
9 20169
10 20217
11 20205
12 20224
13 20234
14 20234
15 20233
16 20243
17 20223
18 20143
19 20213
20 20223

About Kyle Wu

Kyle Wu is a scholar working on Surgery, Epidemiology, Neurology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 273 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (18 papers), Head and Neck Surgical Oncology (11 papers), Pituitary Gland Disorders and Treatments (8 papers), Glioma Diagnosis and Treatment (6 papers), Anatomy and Medical Technology (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Cerebrospinal fluid and hydrocephalus (3 papers) and Diabetic Foot Ulcer Assessment and Management (3 papers). The work is most often cited by research in Health Informatics (11 citations), Neurology (43 citations), Surgery (117 citations), Computer Vision and Pattern Recognition (48 citations) and Molecular Medicine (11 citations). Kyle Wu has collaborated with scholars based in United States, India and Egypt. Frequent co-authors include Timothy D. Kane, Emmanuel Wilson, Xin Kang, Aaron D. Martin, Craig A. Peters, Mahdi Azizian, Raj Shekhar, Kevin Cleary, Daniel Kent and Wenya Linda Bi. Their work appears in journals such as Operative Neurosurgery, Journal of neurosurgery, Journal of Neuro-Oncology, Digital Health and Journal of Neurosurgery Spine.

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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