Daniel Wei
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
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- Intensive Care Unit Cognitive Disorders
Papers in ⓘ
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- Venous Thromboembolism Diagnosis and Management 2
- Co-authors
- Johanna T Fifi (6 shared papers)Reade De Leacy (6 shared papers)J Mocco (7 shared papers)Christopher P. Kellner (7 shared papers)Justin Mascitelli (5 shared papers)Dominic Nistal (5 shared papers)Thomas J. Oxley (5 shared papers)Lorayne Barton (2 shared papers)
- Journals
- World Neurosurgery (3 papers)Stroke (2 papers)Journal of Cancer (1 paper)Frontiers in Immunology (1 paper)Neonatology (1 paper)
- Partner nations
- United StatesAustraliaGrenada
In The Last Decade
Daniel Wei
19 papers receiving 312 citations
Peers
Comparison fields: 5 of 74
- Internal Medicine 39
- Critical Care and Intensive Care Medicine 47
- Rehabilitation 32
- Epidemiology 134
- Neurology 58
Countries citing papers authored by Daniel Wei
This map shows the geographic impact of Daniel Wei'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 Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wei more than expected).
Fields of papers citing papers by Daniel Wei
This network shows the impact of papers produced by Daniel Wei. 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 Wei. The network helps show where Daniel Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 64 | |
| 2 | 2020 | 58 | |
| 3 | 2019 | 26 | |
| 4 | 2021 | 24 | |
| 5 | 2017 | 22 | |
| 6 | 2017 | 20 | |
| 7 | 2014 | 20 | |
| 8 | 2014 | 19 | |
| 9 | 2017 | 17 | |
| 10 | 2014 | 13 | |
| 11 | 2016 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2014 | 7 | |
| 14 | Urokinase-type Plasminogen Activator (uPA) is Inhibited with QLT0267 a Small Molecule Targeting Integrin-linked Kinase (ILK). | 2007 | 7 |
| 15 | 2018 | 5 | |
| 16 | 2016 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2013 | 0 |
About Daniel Wei
Daniel Wei is a scholar working on Internal Medicine, Critical Care and Intensive Care Medicine, Neurology, Rehabilitation and Epidemiology, having authored 21 papers that have together received 335 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (4 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Stroke Rehabilitation and Recovery (2 papers), Neonatal Health and Biochemistry (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Internal Medicine (39 citations), Critical Care and Intensive Care Medicine (47 citations), Rehabilitation (32 citations), Epidemiology (134 citations) and Neurology (58 citations). Daniel Wei has collaborated with scholars based in United States, Australia and Grenada. Frequent co-authors include Johanna T Fifi, Reade De Leacy, J Mocco, Christopher P. Kellner, Justin Mascitelli, Dominic Nistal, Thomas J. Oxley, Lorayne Barton, Smeeta Sardesai and Haitao Yang. Their work appears in journals such as World Neurosurgery, Stroke, Journal of Cancer, Frontiers in Immunology and Neonatology.
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.