Matthew M. Edey
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Dialysis and Renal Disease Management
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
-
- Complement system in diseases 7
-
- Blood groups and transfusion 2
- Co-authors
- David Wayne Johnson (2 shared papers)Katherine A. Barraclough (2 shared papers)Lisa Strain (6 shared papers)Timothy H.J. Goodship (5 shared papers)Judith A. Goodship (4 shared papers)Anne E. Hughes (3 shared papers)Heiko Richter (3 shared papers)Christoph P. B. Licht (3 shared papers)
- Journals
- Molecular Immunology (2 papers)PLoS Genetics (2 papers)Nephrology (2 papers)Kidney International Reports (1 paper)Transplantation (1 paper)
- Partner nations
- United KingdomAustraliaGermany
In The Last Decade
Matthew M. Edey
16 papers receiving 734 citations
Peers
Comparison fields: 5 of 74
- Nephrology 237
- Transplantation 83
- Immunology 345
- Hematology 139
- Hepatology 60
Countries citing papers authored by Matthew M. Edey
This map shows the geographic impact of Matthew M. Edey'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 M. Edey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew M. Edey more than expected).
Fields of papers citing papers by Matthew M. Edey
This network shows the impact of papers produced by Matthew M. Edey. 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 M. Edey. The network helps show where Matthew M. Edey may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew M. Edey, 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 | 2007 | 283 | |
| 2 | 2009 | 125 | |
| 3 | 2009 | 70 | |
| 4 | 2017 | 70 | |
| 5 | 2011 | 64 | |
| 6 | 2008 | 48 | |
| 7 | 2008 | 23 | |
| 8 | 2009 | 19 | |
| 9 | 2011 | 12 | |
| 10 | 2005 | 11 | |
| 11 | 2014 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 2007 | 5 | |
| 14 | 2009 | 2 | |
| 15 | Outcome of Merkel cell carcinoma in renal transplant recipients | 2010 | 1 |
| 16 | 2020 | 1 | |
| 17 | 2025 | 0 |
About Matthew M. Edey
Matthew M. Edey is a scholar working on Immunology, Hematology, Epidemiology, Cell Biology and Infectious Diseases, having authored 17 papers that have together received 749 indexed citations. Recurring topics across this work include Complement system in diseases (7 papers), Blood groups and transfusion (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Tuberculosis Research and Epidemiology (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Adenosine and Purinergic Signaling (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Nephrology (237 citations), Transplantation (83 citations), Immunology (345 citations), Hematology (139 citations) and Hepatology (60 citations). Matthew M. Edey has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include David Wayne Johnson, Katherine A. Barraclough, Lisa Strain, Timothy H.J. Goodship, Judith A. Goodship, Anne E. Hughes, Heiko Richter, Christoph P. B. Licht, Joachim Misselwitz and Christine Skerka. Their work appears in journals such as Molecular Immunology, PLoS Genetics, Nephrology, Kidney International Reports 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.