Miyuki Ozawa
- Transplantation top 0.2%
- Surgery top 5%
- Immunology top 5%
- Nephrology top 2%
- Epidemiology
- Co-authors
- Paul I. TerasakiLorita M. RebellatoCarl E. HaischKimberly P. BrileyWilliam T. KendrickKazuo MizutaniKaren ParkerPaul Bolin
- Topics
- Renal Transplantation Outcomes and Treatments (17 papers)Organ Transplantation Techniques and Outcomes (10 papers)Renal Diseases and Glomerulopathies (6 papers)
- Cited by
- TransplantationNephrologyImmunology
- Partner nations
- United StatesJapanFrance
In The Last Decade
Miyuki Ozawa
26 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Transplantation 1.3k
- Surgery 811
- Immunology 542
- Nephrology 370
- Epidemiology 223
Countries citing papers authored by Miyuki Ozawa
This map shows the geographic impact of Miyuki Ozawa'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 Miyuki Ozawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miyuki Ozawa more than expected).
Fields of papers citing papers by Miyuki Ozawa
This network shows the impact of papers produced by Miyuki Ozawa. 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 Miyuki Ozawa. The network helps show where Miyuki Ozawa may publish in the future.
Co-authorship network of co-authors of Miyuki Ozawa
This figure shows the co-authorship network connecting the top 25 collaborators of Miyuki Ozawa. A scholar is included among the top collaborators of Miyuki Ozawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miyuki Ozawa. Miyuki Ozawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Incidence and Impact of De Novo Donor-Specific Alloantibody in Primary Renal Allograftsbreakdown → | 292 |
| 2 | 17 | |
| 3 | 19 | |
| 4 | Factors affecting outcomes of liver transplantation: an analysis of OPTN/UNOS database. | 6 |
| 5 | A report of the epidemiology of de novo donor-specific anti-HLA antibodies (DSA) in "low-risk" renal transplant recipients. | 9 |
| 6 | 35 | |
| 7 | 21 | |
| 8 | 43 | |
| 9 | Parallel Volume Segmentation and Simplification with Adaptive Tetrahedral Grids | 2 |
| 10 | HLA class II DP epitopes. | 6 |
| 11 | 58 | |
| 12 | 56 | |
| 13 | Retrospective antibody analysis of thirty patients with kidney graft failure. | 14 |
| 14 | 124 | |
| 15 | 177 | |
| 16 | 355 | |
| 17 | 22 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 1 |
About Miyuki Ozawa
Miyuki Ozawa is a scholar working on Transplantation, Nephrology and Hepatology, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (17 papers), Organ Transplantation Techniques and Outcomes (10 papers) and Renal Diseases and Glomerulopathies (6 papers). The work is most often cited by research in Transplantation (1.3k citations), Nephrology (370 citations) and Immunology (542 citations). Miyuki Ozawa has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Paul I. Terasaki, Lorita M. Rebellato, Carl E. Haisch, Kimberly P. Briley, William T. Kendrick, Kazuo Mizutani, Karen Parker, Paul Bolin, Scott A. Kendrick and Jar-How Lee. Their work appears in journals such as Transplantation, American Journal of Transplantation and International Immunology.
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.