William Baskett

629 citations
23 papers · 359 · 1 hit paper · h-index 9

Impact in

  • Neurology top 5%
    • Long-Term Effects of COVID-19
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Long-Term Effects of COVID-19 7
    • Intracerebral and Subarachnoid Hemorrhage Research 4
    • COVID-19 Clinical Research Studies 7

William Baskett

18 papers receiving 347 citations

Hit Papers

Acute Ischemic Stroke and COVID-19 2021 · 188 citations
1880+1+3Years since publication50100150

Peers

William Baskett
Comparison fields: 5 of 69
  • Neurology 201
  • Infectious Diseases 191
  • Critical Care and Intensive Care Medicine 26
  • Internal Medicine 18
  • Ophthalmology 37
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Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by William Baskett

Since Specialization
Citations

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

Fields of papers citing papers by William Baskett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Acute Ischemic Stroke and COVID-19
Hit paper breakdown →
2021188
2 202147
3 202119
4 202215
5 202114
6 201914
7 202214
8 202212
9 202110
10 20217
11 20225
12 20215
13 20223
14 20222
15 20241
16 20251
17 20161
18 20171
19 20250
20 20250

About William Baskett

William Baskett is a scholar working on Neurology, Infectious Diseases, Artificial Intelligence, Clinical Psychology and Epidemiology, having authored 23 papers that have together received 359 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (7 papers), COVID-19 Clinical Research Studies (7 papers), Acute Ischemic Stroke Management (5 papers), COVID-19 and Mental Health (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), COVID-19 and healthcare impacts (3 papers), Machine Learning in Healthcare (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Neurology (201 citations), Infectious Diseases (191 citations), Critical Care and Intensive Care Medicine (26 citations), Internal Medicine (18 citations) and Ophthalmology (37 citations). William Baskett has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Chi‐Ren Shyu, Adnan I. Qureshi, Wei Huang, S. Hasan Naqvi, Iryna Lobanova, Camilo R. Gomez, Brandi R French, Farhan Siddiq, Daniel Shyu and Danny Myers. Their work appears in journals such as Neurocritical Care, Open Forum Infectious Diseases, Journal of Stroke and Cerebrovascular Diseases, Clinical Infectious Diseases and World Neurosurgery.

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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