Brian Vadasz
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Complementary and Manual Therapy top 10%
Papers in
-
- Platelet Disorders and Treatments 7
- Blood groups and transfusion 4
- Surgery 5
- Co-authors
- Heyu Ni (7 shared papers)Issaka Yougbaré (5 shared papers)June Li (5 shared papers)John Freedman (4 shared papers)Dianne E. van der Wal (3 shared papers)Li Ma (3 shared papers)Naadiya Carrim (2 shared papers)Guangheng Zhu (3 shared papers)
- Journals
- Blood (2 papers)PM&R (2 papers)Regional Anesthesia & Pain Medicine (1 paper)Nature Communications (1 paper)Thrombosis and Haemostasis (1 paper)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Brian Vadasz
21 papers receiving 477 citations
Peers
Comparison fields: 5 of 79
- Hematology 310
- Complementary and Manual Therapy 15
- Immunology and Allergy 32
- Pathology and Forensic Medicine 75
- Cell Biology 57
Countries citing papers authored by Brian Vadasz
This map shows the geographic impact of Brian Vadasz'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 Brian Vadasz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Vadasz more than expected).
Fields of papers citing papers by Brian Vadasz
This network shows the impact of papers produced by Brian Vadasz. 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 Brian Vadasz. The network helps show where Brian Vadasz may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Vadasz, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 260 | |
| 2 | 2016 | 37 | |
| 3 | 2014 | 36 | |
| 4 | 2017 | 30 | |
| 5 | 2015 | 20 | |
| 6 | 2013 | 18 | |
| 7 | Feasibility, Safety, and Effectiveness of a Mobile Application in Cardiac Rehabilitation. | 2020 | 18 |
| 8 | 2013 | 14 | |
| 9 | 2012 | 12 | |
| 10 | 2020 | 9 | |
| 11 | 2016 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2014 | 5 | |
| 14 | 2020 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2016 | 1 |
About Brian Vadasz
Brian Vadasz is a scholar working on Hematology, Surgery, Genetics, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 485 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (7 papers), Blood groups and transfusion (4 papers), Myofascial pain diagnosis and treatment (4 papers), Blood disorders and treatments (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Telemedicine and Telehealth Implementation (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Hematology (310 citations), Complementary and Manual Therapy (15 citations), Immunology and Allergy (32 citations), Pathology and Forensic Medicine (75 citations) and Cell Biology (57 citations). Brian Vadasz has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Heyu Ni, Issaka Yougbaré, June Li, John Freedman, Dianne E. van der Wal, Li Ma, Naadiya Carrim, Guangheng Zhu, Qingshu Zeng and Lingyan Zhu. Their work appears in journals such as Blood, PM&R, Regional Anesthesia & Pain Medicine, Nature Communications and Thrombosis and Haemostasis.
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.