Brian Wayda
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments 11
- Organ and Tissue Transplantation Research 3
- Modeling and Simulation top 5%
- Health top 5%
- Epidemiology top 5%
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- Transplantation: Methods and Outcomes 21
- Organ Transplantation Techniques and Outcomes 9
- Cardiac Structural Anomalies and Repair 5
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- Mechanical Circulatory Support Devices 11
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- Cardiac Arrest and Resuscitation 4
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- Organ Donation and Transplantation 3
- Co-authors
- Karthik MurugiahSerene I. ChenRachel P. DreyerSudhakar V. NutiIsuru RanasingheSisi WangHarlan M. KrumholzJoseph S. Ross
- Journals
- The Journal of Heart and Lung Transplantation (8 papers)Circulation Heart Failure (4 papers)JACC Heart Failure (3 papers)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Brian Wayda
25 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Transplantation 90
- Modeling and Simulation 86
- Health 129
- Epidemiology 497
- Statistics, Probability and Uncertainty 88
Countries citing papers authored by Brian Wayda
This map shows the geographic impact of Brian Wayda'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 Wayda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Wayda more than expected).
Fields of papers citing papers by Brian Wayda
This network shows the impact of papers produced by Brian Wayda. 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 Wayda. The network helps show where Brian Wayda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian Wayda, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 21 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 9 | |
| 17 | 2018 | 86 | |
| 18 | 2016 | 151 | |
| 19 | The Use of Google Trends in Health Care Research: A Systematic Reviewbreakdown → | 2014 | 696 |
| 20 | 2014 | 7 |
About Brian Wayda
Brian Wayda is a scholar working on Transplantation, Surgery, Emergency Medicine, Cardiology and Cardiovascular Medicine and Hepatology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (21 papers), Renal Transplantation Outcomes and Treatments (11 papers), Mechanical Circulatory Support Devices (11 papers), Organ Transplantation Techniques and Outcomes (9 papers), Cardiac Structural Anomalies and Repair (5 papers), Cardiac Arrest and Resuscitation (4 papers), Organ Donation and Transplantation (3 papers) and Organ and Tissue Transplantation Research (3 papers). The work is most often cited by research in Transplantation (90 citations), Modeling and Simulation (86 citations), Health (129 citations), Epidemiology (497 citations) and Statistics, Probability and Uncertainty (88 citations). Brian Wayda has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Karthik Murugiah, Serene I. Chen, Rachel P. Dreyer, Sudhakar V. Nuti, Isuru Ranasinghe, Sisi Wang, Harlan M. Krumholz, Joseph S. Ross, Yoshifumi Naka and Hiroo Takayama. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Circulation Heart Failure, JACC Heart Failure, Circulation Cardiovascular Quality and Outcomes and Clinical Transplantation.
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.