Karen Parker
- Transplantation top 1%
- Molecular Biology
- Surgery top 10%
- Oncology top 10%
- Immunology top 10%
- Co-authors
- William T. KendrickPaul BolinLorita M. RebellatoScott A. KendrickMiyuki OzawaRobert C. HarlandCarl E. HaischKimberly P. Briley
- Topics
- Renal Transplantation Outcomes and Treatments (5 papers)Virus-based gene therapy research (3 papers)CAR-T cell therapy research (2 papers)
- Cited by
- TransplantationNephrologyImmunology
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Karen Parker
22 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Transplantation 420
- Molecular Biology 352
- Surgery 335
- Oncology 300
- Immunology 289
Countries citing papers authored by Karen Parker
This map shows the geographic impact of Karen Parker'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 Karen Parker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Parker more than expected).
Fields of papers citing papers by Karen Parker
This network shows the impact of papers produced by Karen Parker. 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 Karen Parker. The network helps show where Karen Parker may publish in the future.
Co-authorship network of co-authors of Karen Parker
This figure shows the co-authorship network connecting the top 25 collaborators of Karen Parker. A scholar is included among the top collaborators of Karen Parker 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 Karen Parker. Karen Parker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 11 | |
| 3 | 27 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 37 | |
| 7 | Improved Long-Term Survival in Kidney Transplant Recipients with Donor-Specific HLA Antibodies After Mycophenolic Acid Escalation. | 2 |
| 8 | Incidence and Impact of De Novo Donor-Specific Alloantibody in Primary Renal Allograftsbreakdown → | 292 |
| 9 | 1 | |
| 10 | 146 | |
| 11 | A report of the epidemiology of de novo donor-specific anti-HLA antibodies (DSA) in "low-risk" renal transplant recipients. | 9 |
| 12 | 36 | |
| 13 | 196 | |
| 14 | 21 | |
| 15 | 166 | |
| 16 | 38 | |
| 17 | 165 | |
| 18 | Inner strength in Salvadoran women: a secondary analysis. | 6 |
| 19 | 11 | |
| 20 | 18 |
About Karen Parker
Karen Parker is a scholar working on Transplantation, Nephrology and Geriatrics and Gerontology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (5 papers), Virus-based gene therapy research (3 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Transplantation (420 citations), Nephrology (153 citations) and Immunology (289 citations). Karen Parker has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include William T. Kendrick, Paul Bolin, Lorita M. Rebellato, Scott A. Kendrick, Miyuki Ozawa, Robert C. Harland, Carl E. Haisch, Kimberly P. Briley, Matthew J. Everly and Paul I. Terasaki. Their work appears in journals such as Cancer, Clinical Cancer Research and Biochemical and Biophysical Research Communications.
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.