Brian Vadasz

851 citations
26 papers · 610 · h-index 11

Impact in

Papers in

    • Platelet Disorders and Treatments 8
    • Blood groups and transfusion 5
    • Blood disorders and treatments 4

Brian Vadasz

23 papers receiving 601 citations

Peers

Brian Vadasz
Comparison fields: 5 of 77
  • Hematology 390
  • Immunology and Allergy 44
  • Internal Medicine 13
  • Pathology and Forensic Medicine 67
  • Complementary and Manual Therapy 8
Replace Kenichi Sumiyoshi with:
Kenichi Sumiyoshi Japan
C. W. Jackson United States
Suzanne Beaudin Canada
Chaker Aloui France
Courtney E. Leik United States
Silvia Vettore Italy
Tine Lottenburger Denmark
Sip Dinkla Netherlands
Eva‐Maria Wolber Germany
Tomasz Brzóska United States
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Citations per field
00.5×10×15×21.7×
Kenichi Sumiyoshi · 1×
Citations per year

Countries citing papers authored by Brian Vadasz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015278
2 201581
3 201646
4 201437
5 201733
6 201322
7 201522
8
Feasibility, Safety, and Effectiveness of a Mobile Application in Cardiac Rehabilitation.
202019
9 201315
10 201212
11 202010
12 20167
13 20246
14 20145
15 20203
16 20223
17 20232
18 20212
19 20202
20 20222

About Brian Vadasz

Brian Vadasz is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 610 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (8 papers), Blood groups and transfusion (5 papers), Blood disorders and treatments (4 papers), Myofascial pain diagnosis and treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cardiac Health and Mental Health (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (390 citations), Immunology and Allergy (44 citations), Internal Medicine (13 citations), Pathology and Forensic Medicine (67 citations) and Complementary and Manual Therapy (8 citations). Brian Vadasz has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Heyu Ni, Issaka Yougbaré, John Freedman, June Li, Li Ma, Dianne E. van der Wal, Naadiya Carrim, Conglei Li, Pingguo Chen and Guangheng Zhu. Their work appears in journals such as Blood, PM&R, Thrombosis and Haemostasis, Journal of Clinical Investigation and Computerized Medical Imaging and Graphics.

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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