Marilyne Coulombe
- Surgery top 10%
- Immunology top 10%
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Co-authors
- Ronald G. GillMark R. NicollsJoshua BeilkeLeslie A. WolfHuan YangH. Carl GelhausGarth L. WarnockRay V. Rajotte
- Topics
- Pancreatic function and diabetes (19 papers)Diabetes and associated disorders (15 papers)Immune Cell Function and Interaction (10 papers)
- Cited by
- TransplantationImmunologyGenetics
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Marilyne Coulombe
29 papers receiving 647 citations
Peers
Comparison fields: 5 of 67
- Surgery 388
- Immunology 303
- Genetics 278
- Endocrinology, Diabetes and Metabolism 120
- Molecular Biology 62
Countries citing papers authored by Marilyne Coulombe
This map shows the geographic impact of Marilyne Coulombe'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 Marilyne Coulombe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marilyne Coulombe more than expected).
Fields of papers citing papers by Marilyne Coulombe
This network shows the impact of papers produced by Marilyne Coulombe. 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 Marilyne Coulombe. The network helps show where Marilyne Coulombe may publish in the future.
Co-authorship network of co-authors of Marilyne Coulombe
This figure shows the co-authorship network connecting the top 25 collaborators of Marilyne Coulombe. A scholar is included among the top collaborators of Marilyne Coulombe 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 Marilyne Coulombe. Marilyne Coulombe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 23 | |
| 5 | 13 | |
| 6 | 58 | |
| 7 | 95 | |
| 8 | The immunobiology of pancreatic islet transplantation. | 3 |
| 9 | 77 | |
| 10 | 13 | |
| 11 | 25 | |
| 12 | 2 | |
| 13 | 18 | |
| 14 | 29 | |
| 15 | 41 | |
| 16 | 11 | |
| 17 | 27 | |
| 18 | CD4+ T cells are both necessary and sufficient for islet xenograft rejection. | 36 |
| 19 | Tolerance induction in adult animals: comparison of RS-61443 and anti-CD4 treatment. | 8 |
| 20 | 4 |
About Marilyne Coulombe
Marilyne Coulombe is a scholar working on Transplantation, Genetics and Surgery, having authored 30 papers that have together received 658 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (19 papers), Diabetes and associated disorders (15 papers) and Immune Cell Function and Interaction (10 papers). The work is most often cited by research in Transplantation (55 citations), Immunology (303 citations) and Genetics (278 citations). Marilyne Coulombe has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Ronald G. Gill, Mark R. Nicolls, Joshua Beilke, Leslie A. Wolf, Huan Yang, H. Carl Gelhaus, Garth L. Warnock, Ray V. Rajotte, Kevin J. Lafferty and Maki Nakayama. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology and Nature Cell Biology.
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.