John K. Wu
- Internal Medicine top 0.5%
- Venous Thromboembolism Diagnosis and Management 10
- Hematology top 0.5%
- Hemophilia Treatment and Research 20
- Blood Coagulation and Thrombosis Mechanisms 16
- Platelet Disorders and Treatments 13
- Blood groups and transfusion 9
- Iron Metabolism and Disorders 6
- Emergency Medical Services top 1%
- Genetics top 5%
- Hemoglobinopathies and Related Disorders 11
-
- Renal Diseases and Glomerulopathies 4
- Co-authors
- Patricia McCuskerVictor S. BlanchetteSara J. IsraelsR. H. AndersonDorothy BarnardSunil DesaiJacqueline HaltonPaul Monagle
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
John K. Wu
70 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 95
- Internal Medicine 576
- Hematology 1.2k
- Emergency Medical Services 296
- Genetics 248
- Cardiology and Cardiovascular Medicine 258
Countries citing papers authored by John K. Wu
This map shows the geographic impact of John K. Wu'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 John K. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John K. Wu more than expected).
Fields of papers citing papers by John K. Wu
This network shows the impact of papers produced by John K. Wu. 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 John K. Wu. The network helps show where John K. Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John K. Wu, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 8 | |
| 5 | 2018 | 13 | |
| 6 | 2018 | 31 | |
| 7 | 2014 | 19 | |
| 8 | 2014 | 2 | |
| 9 | 2013 | 26 | |
| 10 | 2013 | 41 | |
| 11 | 2012 | 5 | |
| 12 | 2007 | 12 | |
| 13 | 2006 | 192 | |
| 14 | 2006 | 23 | |
| 15 | 2006 | 3 | |
| 16 | 2004 | 8 | |
| 17 | 2004 | 5 | |
| 18 | 2003 | 44 | |
| 19 | 2003 | 22 | |
| 20 | 2000 | 387 |
About John K. Wu
John K. Wu is a scholar working on Hematology, Internal Medicine, Genetics, Nephrology and Emergency Medical Services, having authored 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (20 papers), Blood Coagulation and Thrombosis Mechanisms (16 papers), Platelet Disorders and Treatments (13 papers), Hemoglobinopathies and Related Disorders (11 papers), Venous Thromboembolism Diagnosis and Management (10 papers), Blood groups and transfusion (9 papers), Iron Metabolism and Disorders (6 papers) and Renal Diseases and Glomerulopathies (4 papers). The work is most often cited by research in Internal Medicine (576 citations), Hematology (1.2k citations), Emergency Medical Services (296 citations), Genetics (248 citations) and Cardiology and Cardiovascular Medicine (258 citations). John K. Wu has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Patricia McCusker, Victor S. Blanchette, Sara J. Israels, R. H. Anderson, Dorothy Barnard, Sunil Desai, Jacqueline Halton, Paul Monagle, Michéle David and Donald H. Mahoney. Their work appears in journals such as Haemophilia, Blood, Journal of Pediatric Hematology/Oncology, Pediatric Blood & Cancer and American Journal of Clinical Pathology.
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.