Kyle Wu

40 papers receiving 288 citations

Peers

Kyle Wu
Comparison fields: 5 of 72
  • Health Informatics 8
  • Molecular Medicine 11
  • Surgery 87
  • Computer Vision and Pattern Recognition 38
  • Genetics 16
Replace Abdul Karim Ghaith with:
Abdul Karim Ghaith United States
Yi‐Jiun Chou Taiwan
Cherng-Kang Perng Taiwan
Frank A. De Stefano United States
Ronny Grunert Germany
Cyrill Dennler Switzerland
Valérie Pazos Canada
Maria Chiara Palumbo United States
Chloe Swords United Kingdom
Stefano Taboni Italy
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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201474
2 202433
3 201921
4 201319
5 202418
6 201614
7 201910
8 201610
9 20169
10 20217
11 20225
12 20205
13 20244
14 20234
15 20244
16 20234
17 20243
18 20223
19 20233
20 20213

About Kyle Wu

Kyle Wu is a scholar working on Surgery, Epidemiology, Endocrinology, Diabetes and Metabolism, Neurology and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 292 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (8 papers), Head and Neck Surgical Oncology (5 papers), Pituitary Gland Disorders and Treatments (5 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Brain Metastases and Treatment (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers) and Moyamoya disease diagnosis and treatment (2 papers). The work is most often cited by research in Health Informatics (8 citations), Molecular Medicine (11 citations), Surgery (87 citations), Computer Vision and Pattern Recognition (38 citations) and Genetics (16 citations). Kyle Wu has collaborated with scholars based in United States, Egypt and India. Frequent co-authors include Timothy D. Kane, Mahdi Azizian, Raj Shekhar, Aaron D. Martin, Emmanuel Wilson, Kevin Cleary, Xin Kang, Craig A. Peters, David Mooney and Benjamin R. Freedman. Their work appears in journals such as Operative Neurosurgery, Journal of neurosurgery, Journal of Neuro-Oncology, Acta Neurochirurgica 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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