Greg Pearce
Impact in
- Transplantation top 10%
- Media Technology top 10%
- Vehicle License Plate Recognition
Papers in
-
- Peroxisome Proliferator-Activated Receptors 1
- Protein Degradation and Inhibitors 1
- Surgery 1
- Co-authors
- Nick Pears (1 shared paper)Dennis L. Sprecher (1 shared paper)Timothy M. Willson (1 shared paper)Tony G. Johnson (1 shared paper)David C. Lobe (1 shared paper)Andrew N. Billin (1 shared paper)Scott D. Patterson (1 shared paper)David G. Hassall (1 shared paper)
- Journals
- Journal of the American College of Cardiology (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Journal of Veterinary Diagnostic Investigation (1 paper)Blood (1 paper)Transplantation (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Greg Pearce
7 papers receiving 330 citations
Peers
Comparison fields: 5 of 71
- Transplantation 17
- Media Technology 46
- Computer Vision and Pattern Recognition 82
- Physiology 80
- Molecular Biology 142
Countries citing papers authored by Greg Pearce
This map shows the geographic impact of Greg Pearce'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 Greg Pearce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Pearce more than expected).
Fields of papers citing papers by Greg Pearce
This network shows the impact of papers produced by Greg Pearce. 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 Greg Pearce. The network helps show where Greg Pearce may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Pearce, 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 | 2006 | 172 | |
| 2 | 2011 | 82 | |
| 3 | 2002 | 60 | |
| 4 | 1991 | 21 | |
| 5 | 2004 | 8 | |
| 6 | 2019 | 4 | |
| 7 | 1993 | 2 |
About Greg Pearce
Greg Pearce is a scholar working on Molecular Biology, Surgery, Rehabilitation, Computer Vision and Pattern Recognition and Agronomy and Crop Science, having authored 7 papers that have together received 349 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (1 paper), Veterinary Equine Medical Research (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Protein Degradation and Inhibitors (1 paper), Vehicle License Plate Recognition (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Reproductive Physiology in Livestock (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Transplantation (17 citations), Media Technology (46 citations), Computer Vision and Pattern Recognition (82 citations), Physiology (80 citations) and Molecular Biology (142 citations). Greg Pearce has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Nick Pears, Dennis L. Sprecher, Timothy M. Willson, Tony G. Johnson, David C. Lobe, Andrew N. Billin, Scott D. Patterson, David G. Hassall, Nicolas Ancellin and Itay Perlstein. Their work appears in journals such as Journal of the American College of Cardiology, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Veterinary Diagnostic Investigation, Blood and 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.