David Pi

509 citations
16 papers · 431 · h-index 11

Impact in

Papers in

    • Blood Coagulation and Thrombosis Mechanisms 2
    • Acute Myeloid Leukemia Research 1
    • Platelet Disorders and Treatments 1
    • Hepatitis C virus research 4

David Pi

16 papers receiving 406 citations

Peers

David Pi
Comparison fields: 5 of 55
  • Hepatology 93
  • Management of Technology and Innovation 37
  • Hematology 46
  • Neurology 42
  • Internal Medicine 9
Replace Hazel Tinegate with:
Hazel Tinegate United Kingdom
Naveen Kakkar India
Julia Zimmermann Germany
Donatella Fraschini Italy
Pia Petrini Sweden
Aparna Govindan United States
Awatif Ali Alam Saudi Arabia
Emma J. Dunn United Kingdom
Sanju Cyriac India
John B. Hickie Australia
David Pi relative to Hazel Tinegate United Kingdom Hazel Tinegate's profile →
Citations per field
00.5×2×3×3.9×
Hazel Tinegate · 1×
Citations per year

Countries citing papers authored by David Pi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David Pi Line = papers co-authored together David Pi links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2007112
2 199987
3 200950
4 200837
5 201332
6 198920
7 201119
8 201319
9 200915
10 198611
11
Appropriateness of the use of intravenous immune globulin before and after the introduction of a utilization control program.
201211
12 20128
13 20186
14 20052
15 20031
16
Heritable thrombophilia testing in British Columbia: A report on practice patterns and prevalence
20131

About David Pi

David Pi is a scholar working on Hematology, Hepatology, General Health Professions, Management of Technology and Innovation and Rheumatology, having authored 16 papers that have together received 431 indexed citations. Recurring topics across this work include Hepatitis C virus research (4 papers), Healthcare cost, quality, practices (3 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Clinical Laboratory Practices and Quality Control (1 paper), Acute Myeloid Leukemia Research (1 paper), Platelet Disorders and Treatments (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Hepatology (93 citations), Management of Technology and Innovation (37 citations), Hematology (46 citations), Neurology (42 citations) and Internal Medicine (9 citations). David Pi has collaborated with scholars based in Canada, United Kingdom and China. Frequent co-authors include Bernard E Willems, Gilles Delage, Claire Infante‐Rivard, Joanne Chiavetta, Melissa C. Brouwers, Louis D. Wadsworth, Heather Ann Hume, Brenda Banwell, John Freedman and Timothy John Benstead. Their work appears in journals such as Canadian Journal of Public Health, American Journal of Clinical Pathology, Hematological Oncology, Clinical Rheumatology and The American Journal of Cardiology.

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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