Matthew Rubacha
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Surgery top 5%
- Transplantation: Methods and Outcomes
- Organ Transplantation Techniques and Outcomes
- Tissue Engineering and Regenerative Medicine
Papers in
- Co-authors
- Shaf Keshavjee (12 shared papers)Mingyao Liu (5 shared papers)Marcelo Cypel (11 shared papers)Thomas K. Waddell (11 shared papers)Jonathan Yeung (10 shared papers)S. Hirayama (5 shared papers)Marc de Perrot (4 shared papers)Andrew Pierre (3 shared papers)
- Journals
- The Journal of Heart and Lung Transplantation (9 papers)Clinical Orthopaedics and Related Research (1 paper)Child s Nervous System (1 paper)Intensive Care Medicine (1 paper)American Journal of Transplantation (1 paper)
- Partner nations
- CanadaUnited StatesIreland
In The Last Decade
Matthew Rubacha
16 papers receiving 808 citations
Matthew Rubacha's Hit Papers
Peers
Comparison fields: 5 of 52
- Transplantation 96
- Surgery 658
- Biomedical Engineering 214
- Hepatology 24
- Immunology 49
Countries citing papers authored by Matthew Rubacha
This map shows the geographic impact of Matthew Rubacha'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 Matthew Rubacha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Rubacha more than expected).
Fields of papers citing papers by Matthew Rubacha
This network shows the impact of papers produced by Matthew Rubacha. 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 Matthew Rubacha. The network helps show where Matthew Rubacha may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Rubacha, 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 | Technique for Prolonged Normothermic Ex Vivo Lung Perfusion Hit paper breakdown → | 2008 | 379 |
| 2 | 2009 | 193 | |
| 3 | 2012 | 88 | |
| 4 | 2010 | 62 | |
| 5 | 2011 | 61 | |
| 6 | 2021 | 10 | |
| 7 | 2011 | 6 | |
| 8 | 2015 | 5 | |
| 9 | 2010 | 4 | |
| 10 | 2007 | 4 | |
| 11 | 2010 | 3 | |
| 12 | 2008 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2009 | 1 | |
| 16 | 2008 | 1 |
About Matthew Rubacha
Matthew Rubacha is a scholar working on Surgery, Genetics, Pathology and Forensic Medicine, Infectious Diseases and Genetics, having authored 16 papers that have together received 821 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (11 papers), Virus-based gene therapy research (4 papers), Cardiac Ischemia and Reperfusion (3 papers), Knee injuries and reconstruction techniques (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Biomarkers in Disease Mechanisms (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper) and Soft tissue tumor case studies (1 paper). The work is most often cited by research in Transplantation (96 citations), Surgery (658 citations), Biomedical Engineering (214 citations), Hepatology (24 citations) and Immunology (49 citations). Matthew Rubacha has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Shaf Keshavjee, Mingyao Liu, Marcelo Cypel, Thomas K. Waddell, Jonathan Yeung, S. Hirayama, Marc de Perrot, Andrew Pierre, Masaaki Sato and Masaki Anraku. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Clinical Orthopaedics and Related Research, Child s Nervous System, Intensive Care Medicine and American Journal of 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.