Dazhe Wang
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Sepsis Diagnosis and Treatment 5
- Acute Ischemic Stroke Management 1
- Co-authors
- Mark D. Williams (5 shared papers)David P. Sundin (2 shared papers)William L. Macias (3 shared papers)Brett P. Giroir (2 shared papers)Shamel Abd‐Allah (1 shared paper)Heidi J. Dalton (1 shared paper)Simon Nadel (2 shared papers)Mark Peters (1 shared paper)
- Journals
- Critical Care Medicine (2 papers)American Journal of Respiratory and Critical Care Medicine (1 paper)Clinical Journal of the American Society of Nephrology (1 paper)Intensive Care Medicine (1 paper)Multiple Sclerosis Journal (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Dazhe Wang
8 papers receiving 548 citations
Peers
Comparison fields: 5 of 70
- Critical Care and Intensive Care Medicine 91
- Internal Medicine 52
- Hematology 109
- Epidemiology 334
- Nephrology 54
Countries citing papers authored by Dazhe Wang
This map shows the geographic impact of Dazhe Wang'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 Dazhe Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dazhe Wang more than expected).
Fields of papers citing papers by Dazhe Wang
This network shows the impact of papers produced by Dazhe Wang. 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 Dazhe Wang. The network helps show where Dazhe Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dazhe Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 307 | |
| 2 | 2012 | 108 | |
| 3 | 2007 | 107 | |
| 4 | 2024 | 28 | |
| 5 | 2009 | 9 | |
| 6 | Frequentist and Bayesian Analysis of Random Coefficient Autoregressive models | 2004 | 2 |
| 7 | 2006 | 2 | |
| 8 | 2005 | 2 |
About Dazhe Wang
Dazhe Wang is a scholar working on Epidemiology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Surgery and Nephrology, having authored 8 papers that have together received 565 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (5 papers), Acute Myocardial Infarction Research (2 papers), Renal Diseases and Glomerulopathies (1 paper), Fungal Plant Pathogen Control (1 paper), Acute Ischemic Stroke Management (1 paper), Polyomavirus and related diseases (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (91 citations), Internal Medicine (52 citations), Hematology (109 citations), Epidemiology (334 citations) and Nephrology (54 citations). Dazhe Wang has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Mark D. Williams, David P. Sundin, William L. Macias, Brett P. Giroir, Shamel Abd‐Allah, Heidi J. Dalton, Simon Nadel, Mark Peters, Brahm Goldstein and Howard Levy. Their work appears in journals such as Critical Care Medicine, American Journal of Respiratory and Critical Care Medicine, Clinical Journal of the American Society of Nephrology, Intensive Care Medicine and Multiple Sclerosis Journal.
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.