Daniel Shyu

439 citations
6 papers · 259 · 1 hit paper · h-index 5

Impact in

  • Neurology top 10%
    • Long-Term Effects of COVID-19
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • COVID-19 Clinical Research Studies 3
    • SARS-CoV-2 detection and testing 1
    • COVID-19 and healthcare impacts 3

Daniel Shyu

6 papers receiving 248 citations

Daniel Shyu's Hit Papers

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

Peers

Daniel Shyu
Comparison fields: 5 of 63
  • Neurology 156
  • Infectious Diseases 143
  • Critical Care and Intensive Care Medicine 19
  • Ophthalmology 32
  • Internal Medicine 12
Replace Alicia Ang with:
Alicia Ang Singapore
Uddalak Chakraborty India
Sujan Reddy United States
Matthew Sanger United States
Meng Cao United States
Philomène Lavis Belgium
Saeideh Aghayari Sheikh Neshin Iran
Gul Muhammad Memon Pakistan
Melina Stüssi‐Helbling Switzerland
Jair Theodoro Filho Brazil
Daniel Shyu relative to Alicia Ang Singapore Alicia Ang's profile →
Citations per field
00.5×2.8×
Alicia Ang · 1×
Citations per year

Countries citing papers authored by Daniel Shyu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Shyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Acute Ischemic Stroke and COVID-19
Hit paper breakdown →
2021188
2
Laboratory Tests for COVID-19: A Review of Peer-Reviewed Publications and Implications for Clinical Use.
202020
3 202119
4 201717
5 202114
6 20211

About Daniel Shyu

Daniel Shyu is a scholar working on Infectious Diseases, Oncology, Neurology, Pharmacology and Clinical Psychology, having authored 6 papers that have together received 259 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (3 papers), COVID-19 Clinical Research Studies (3 papers), Long-Term Effects of COVID-19 (2 papers), Palliative Care and End-of-Life Issues (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Influenza Virus Research Studies (1 paper), Animal Disease Management and Epidemiology (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Neurology (156 citations), Infectious Diseases (143 citations), Critical Care and Intensive Care Medicine (19 citations), Ophthalmology (32 citations) and Internal Medicine (12 citations). Daniel Shyu has collaborated with scholars based in United States. Frequent co-authors include Iryna Lobanova, Adnan I. Qureshi, Wei Huang, Danny Myers, Chi‐Ren Shyu, S. Hasan Naqvi, William Baskett, Camilo R. Gomez, Brandi R French and Farhan Siddiq. Their work appears in journals such as World Neurosurgery, Stroke, Journal of Virology, Ethnicity & Disease and PubMed.

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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