Sherif Ibrahim
- Co-authors
- Fred SanfilippoDeborah V. DawsonRobert BrauerAllan D. KirkWilliam M. BaldwinThomas M. CoffmanPeter Van TrigtJames L. Levin
- Topics
- T-cell and B-cell Immunology (6 papers)Renal Transplantation Outcomes and Treatments (5 papers)Organ Transplantation Techniques and Outcomes (4 papers)
- Cited by
- TransplantationImmunologySurgery
- Partner nations
- United States
In The Last Decade
Sherif Ibrahim
15 papers receiving 357 citations
Peers
Comparison fields: 5 of 49
- Surgery 197
- Immunology 158
- Transplantation 120
- Genetics 60
- Molecular Biology 28
Countries citing papers authored by Sherif Ibrahim
This map shows the geographic impact of Sherif Ibrahim'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 Sherif Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherif Ibrahim more than expected).
Fields of papers citing papers by Sherif Ibrahim
This network shows the impact of papers produced by Sherif Ibrahim. 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 Sherif Ibrahim. The network helps show where Sherif Ibrahim may publish in the future.
Co-authorship network of co-authors of Sherif Ibrahim
This figure shows the co-authorship network connecting the top 25 collaborators of Sherif Ibrahim. A scholar is included among the top collaborators of Sherif Ibrahim 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 Sherif Ibrahim. Sherif Ibrahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | CTLA4Ig Inhibits humoral and cellular immune responses to concordant xenografts. | 4 |
| 3 | 63 | |
| 4 | CTLA4Ig inhibits alloantibody responses to repeated blood transfusions. | 10 |
| 5 | Phenotype of infiltrating cells in an ex vivo model of human antiporcine hyperacute cardiac xenograft rejection. | 2 |
| 6 | 59 | |
| 7 | 19 | |
| 8 | 54 | |
| 9 | 41 | |
| 10 | 15 | |
| 11 | 38 | |
| 12 | 21 | |
| 13 | Differential infiltration by CD45RO and CD45RA subsets of T cells associated with human heart allograft rejection. | 31 |
| 14 | Differential expression of T-cell receptor-V region determinants on infiltrating T cells in rejecting and nonrejecting human kidney, liver, and heart allografts. | 5 |
| 15 | 2 |
About Sherif Ibrahim
Sherif Ibrahim is a scholar working on Transplantation, Immunology and Hematology, having authored 15 papers that have together received 365 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Renal Transplantation Outcomes and Treatments (5 papers) and Organ Transplantation Techniques and Outcomes (4 papers). The work is most often cited by research in Transplantation (120 citations), Immunology (158 citations) and Surgery (197 citations). Sherif Ibrahim has collaborated with scholars based in United States. Frequent co-authors include Fred Sanfilippo, Deborah V. Dawson, Robert Brauer, Allan D. Kirk, William M. Baldwin, Thomas M. Coffman, Peter Van Trigt, James L. Levin, Tuan T. Lam and Elizabeth A. Olmsted‐Davis. Their work appears in journals such as The Journal of Immunology, The Journal of Physical Chemistry 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.