Carol J. Phelps
- Surgery top 1%
- Genetics top 1%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology top 10%
- Co-authors
- David AyaresDavid K. C. CooperDavid L. HurleyHidetaka HaraBurcin EkserMohamed EzzelarabSuyapa BallTodd Vaught
- Topics
- Xenotransplantation and immune response (35 papers)Growth Hormone and Insulin-like Growth Factors (30 papers)Animal Genetics and Reproduction (21 papers)
- Cited by
- GeneticsSurgeryTransplantation
- Journals
- Nature CommunicationsNature BiotechnologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesGermanyChina
In The Last Decade
Carol J. Phelps
77 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Surgery 1.9k
- Genetics 1.5k
- Molecular Biology 990
- Endocrinology, Diabetes and Metabolism 429
- Immunology 230
Countries citing papers authored by Carol J. Phelps
This map shows the geographic impact of Carol J. Phelps'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 Carol J. Phelps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol J. Phelps more than expected).
Fields of papers citing papers by Carol J. Phelps
This network shows the impact of papers produced by Carol J. Phelps. 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 Carol J. Phelps. The network helps show where Carol J. Phelps may publish in the future.
Co-authorship network of co-authors of Carol J. Phelps
This figure shows the co-authorship network connecting the top 25 collaborators of Carol J. Phelps. A scholar is included among the top collaborators of Carol J. Phelps 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 Carol J. Phelps. Carol J. Phelps is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 22 | |
| 4 | 19 | |
| 5 | 12 | |
| 6 | 36 | |
| 7 | The role of genetically engineered pigs in xenotransplantation research | 2 |
| 8 | Advances in a life-supporting xenogenic lung transplant model | 0 |
| 9 | 40 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | Targeted disruption of the α1,3-galactosyltransferase gene in cloned pigsbreakdown → | 576 |
| 13 | 7 | |
| 14 | 10 | |
| 15 | 5 | |
| 16 | 128 | |
| 17 | 19 | |
| 18 | 8 | |
| 19 | 0 | |
| 20 | 29 |
About Carol J. Phelps
Carol J. Phelps is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Endocrine and Autonomic Systems, having authored 79 papers that have together received 3.0k indexed citations. Recurring topics across this work include Xenotransplantation and immune response (35 papers), Growth Hormone and Insulin-like Growth Factors (30 papers) and Animal Genetics and Reproduction (21 papers). The work is most often cited by research in Genetics (1.5k citations), Surgery (1.9k citations) and Transplantation (81 citations). Carol J. Phelps has collaborated with scholars based in United States, Germany and China. Frequent co-authors include David Ayares, David K. C. Cooper, David L. Hurley, Hidetaka Hara, Burcin Ekser, Mohamed Ezzelarab, Suyapa Ball, Todd Vaught, Kevin D. Wells and Yifan Dai. Their work appears in journals such as Nature Communications, Nature Biotechnology and The Journal of Clinical Endocrinology & Metabolism.
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.