David Pi
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Hematology top 10%
- Platelet Disorders and Treatments
Papers in
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- Platelet Disorders and Treatments 3
- Blood Coagulation and Thrombosis Mechanisms 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Gilles Delage (2 shared papers)Bernard Willems (2 shared papers)Claire Infante‐Rivard (2 shared papers)Joanne Chiavetta (1 shared paper)Louis D. Wadsworth (1 shared paper)Melissa Brouwers (1 shared paper)Timothy Benstead (1 shared paper)Angelika F. Hahn (1 shared paper)
In The Last Decade
David Pi
15 papers receiving 375 citations
Peers
Comparison fields: 5 of 72
- Hepatology 89
- Hematology 68
- Internal Medicine 14
- Neurology 48
- Management of Technology and Innovation 26
Countries citing papers authored by David Pi
This map shows the geographic impact of David Pi'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 David Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pi more than expected).
Fields of papers citing papers by David Pi
This network shows the impact of papers produced by David Pi. 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 David Pi. The network helps show where David Pi may publish in the future.
Co-authors
The 25 scholars most cited alongside David Pi, 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 | 105 | |
| 2 | 1999 | 84 | |
| 3 | 2009 | 46 | |
| 4 | 2008 | 38 | |
| 5 | 2013 | 30 | |
| 6 | 2013 | 19 | |
| 7 | 2011 | 19 | |
| 8 | 1989 | 19 | |
| 9 | 2009 | 15 | |
| 10 | Appropriateness of the use of intravenous immune globulin before and after the introduction of a utilization control program. | 2012 | 11 |
| 11 | 2018 | 6 | |
| 12 | 2012 | 5 | |
| 13 | 2005 | 2 | |
| 14 | 2003 | 1 | |
| 15 | Heritable thrombophilia testing in British Columbia: A report on practice patterns and prevalence | 2013 | 1 |
About David Pi
David Pi is a scholar working on Hematology, Radiology, Nuclear Medicine and Imaging, Immunology, Management of Technology and Innovation and Rheumatology, having authored 15 papers that have together received 401 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (3 papers), Blood donation and transfusion practices (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Hepatitis C virus research (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Hepatology (89 citations), Hematology (68 citations), Internal Medicine (14 citations), Neurology (48 citations) and Management of Technology and Innovation (26 citations). David Pi has collaborated with scholars based in Canada, Hong Kong and China. Frequent co-authors include Gilles Delage, Bernard Willems, Claire Infante‐Rivard, Joanne Chiavetta, Louis D. Wadsworth, Melissa Brouwers, Timothy Benstead, Angelika F. Hahn, Brenda Banwell and Vera Bril. Their work appears in journals such as Canadian Journal of Public Health, American Journal of Clinical Pathology, Gastroenterology, Hematological Oncology and Clinical Therapeutics.
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.