Éva Latulippe
Impact in
- Transplantation top 5%
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
Papers in
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- Renal Transplantation Outcomes and Treatments 8
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- Renal Diseases and Glomerulopathies 5
- Co-authors
- William L. Gerald (3 shared papers)Michael M. Reich (1 shared paper)Massimo F. Loda (1 shared paper)Tomaso Poggio (1 shared paper)Christine Ladd (1 shared paper)Pablo Tamayo (1 shared paper)Eric S. Lander (1 shared paper)Sridhar Ramaswamy (1 shared paper)
- Journals
- American Journal of Transplantation (3 papers)Transplant International (2 papers)Frontiers in Immunology (2 papers)Cancer Research (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Éva Latulippe
24 papers receiving 2.7k citations
Éva Latulippe's Hit Papers
Peers
Comparison fields: 5 of 131
- Transplantation 100
- Cancer Research 480
- Molecular Biology 1.6k
- Pulmonary and Respiratory Medicine 609
- Oncology 364
Countries citing papers authored by Éva Latulippe
This map shows the geographic impact of Éva Latulippe'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 Éva Latulippe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Latulippe more than expected).
Fields of papers citing papers by Éva Latulippe
This network shows the impact of papers produced by Éva Latulippe. 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 Éva Latulippe. The network helps show where Éva Latulippe may publish in the future.
Co-authors
The 25 scholars most cited alongside Éva Latulippe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiclass cancer diagnosis using tumor gene expression signatures Hit paper breakdown → | 2001 | 1597 |
| 2 | 2004 | 464 | |
| 3 | Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease. | 2002 | 443 |
| 4 | 2016 | 47 | |
| 5 | 2015 | 28 | |
| 6 | 2003 | 26 | |
| 7 | 2020 | 26 | |
| 8 | 2017 | 21 | |
| 9 | 2009 | 19 | |
| 10 | 2004 | 18 | |
| 11 | 2018 | 18 | |
| 12 | 2023 | 15 | |
| 13 | 2024 | 15 | |
| 14 | 2018 | 13 | |
| 15 | 2023 | 9 | |
| 16 | 2016 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2010 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2008 | 4 |
About Éva Latulippe
Éva Latulippe is a scholar working on Transplantation, Nephrology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 24 papers that have together received 2.8k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (8 papers), Renal Diseases and Glomerulopathies (5 papers), Prostate Cancer Treatment and Research (3 papers), Polyomavirus and related diseases (2 papers), Complement system in diseases (2 papers), T-cell and B-cell Immunology (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Transplantation (100 citations), Cancer Research (480 citations), Molecular Biology (1.6k citations), Pulmonary and Respiratory Medicine (609 citations) and Oncology (364 citations). Éva Latulippe has collaborated with scholars based in Canada, United States and France. Frequent co-authors include William L. Gerald, Michael M. Reich, Massimo F. Loda, Tomaso Poggio, Christine Ladd, Pablo Tamayo, Eric S. Lander, Sridhar Ramaswamy, Todd R. Golub and Ryan M. Rifkin. Their work appears in journals such as American Journal of Transplantation, Transplant International, Frontiers in Immunology, Cancer Research and Journal of Clinical Investigation.
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.