Oliver Y. Tang

2.3k citations
85 papers · 1.2k indexed · 1 hit paper · h-index 19

Oliver Y. Tang

72 papers receiving 1.2k citations

Hit Papers

Performance of ChatGPT, GPT-4, and Google Bard on a Neuro...215202320262024202550100150200

Peers

Oliver Y. Tang
Comparison fields: 5 of 122
  • Health Informatics 423
  • Family Practice 56
  • Geriatrics and Gerontology 55
  • Radiology, Nuclear Medicine and Imaging 289
  • Genetics 115
Replace Malke Asaad with:
Malke Asaad United States
Brent Griffith United States
Daniel W. Golden United States
Selen Bozkurt Türkiye
John J. Smith United States
Curtis E. Doberstein United States
Akash P. Kansagra United States
Karl‐Friedrich Kowalewski Germany
Kyle N. Kunze United States
Stan Benjamens Netherlands
Oliver Y. Tang relative to Malke Asaad United States Malke Asaad's profile →
Citations per field
00.5×6.9×
Malke Asaad · 1×
Citations per year

Countries citing papers authored by Oliver Y. Tang

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Y. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oliver Y. Tang. 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 Oliver Y. Tang. The network helps show where Oliver Y. Tang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20241
3 20240
4 20241
5 20240
6 20240
7 20240
8 20231
9
Performance of ChatGPT, GPT-4, and Google Bard on a Neurosurgery Oral Boards Preparation Question Bankbreakdown →
2023215
10 2023131
11 20232
12 20235
13 20220
14 20228
15 202220
16 20225
17 20205
18 202047
19 20205
20 201921

About Oliver Y. Tang

Oliver Y. Tang is a scholar working on Health Informatics, Emergency Medicine and Neurology, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Trauma and Emergency Care Studies (16 papers), Cardiac, Anesthesia and Surgical Outcomes (14 papers), Traumatic Brain Injury and Neurovascular Disturbances (11 papers), COVID-19 and healthcare impacts (9 papers), Glioma Diagnosis and Treatment (8 papers), Emergency and Acute Care Studies (8 papers), Meningioma and schwannoma management (8 papers) and Neurosurgical Procedures and Complications (6 papers). The work is most often cited by research in Health Informatics (423 citations), Family Practice (56 citations) and Geriatrics and Gerontology (55 citations). Oliver Y. Tang has collaborated with scholars based in United States, Rwanda and United Kingdom. Frequent co-authors include Wael F. Asaad, Rohaid Ali, Curtis E. Doberstein, Ian D. Connolly, Ziya L. Gokaslan, John H. Shin, Albert E. Telfeian, Adetokunbo A. Oyelese, Patricia L. Zadnik Sullivan and Jared Fridley. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Neurology.

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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