Éva Latulippe
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Transplantation top 5%
Papers in
-
- Renal Transplantation Outcomes and Treatments 9
- Co-authors
- William L. Gerald (3 shared papers)Pablo Tamayo (1 shared paper)Tomaso Poggio (1 shared paper)Jill P. Mesirov (1 shared paper)Eric S. Lander (1 shared paper)Sridhar Ramaswamy (1 shared paper)Sayan Mukherjee (1 shared paper)Michael Reich (1 shared paper)
- Journals
- American Journal of Transplantation (3 papers)Transplant International (2 papers)Frontiers in Immunology (2 papers)Clinical Kidney Journal (1 paper)Molecular Oncology (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Éva Latulippe
20 papers receiving 2.4k citations
Éva Latulippe's Hit Papers
Peers
Comparison fields: 5 of 122
- Cancer Research 553
- Transplantation 78
- Molecular Biology 1.7k
- Pulmonary and Respiratory Medicine 618
- Oncology 380
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 21 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 | 1458 |
| 2 | 2004 | 423 | |
| 3 | Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease. | 2002 | 416 |
| 4 | 2016 | 41 | |
| 5 | 2003 | 25 | |
| 6 | 2015 | 24 | |
| 7 | 2017 | 18 | |
| 8 | 2009 | 17 | |
| 9 | 2004 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2018 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2016 | 6 | |
| 15 | 2010 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2008 | 4 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 1 |
About Éva Latulippe
Éva Latulippe is a scholar working on Transplantation, Molecular Biology, Immunology, Surgery and Nephrology, having authored 21 papers that have together received 2.5k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (9 papers), Renal Diseases and Glomerulopathies (4 papers), Complement system in diseases (3 papers), T-cell and B-cell Immunology (3 papers), Transplantation: Methods and Outcomes (3 papers), Immune Cell Function and Interaction (3 papers), Prostate Cancer Treatment and Research (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (553 citations), Transplantation (78 citations), Molecular Biology (1.7k citations), Pulmonary and Respiratory Medicine (618 citations) and Oncology (380 citations). Éva Latulippe has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include William L. Gerald, Pablo Tamayo, Tomaso Poggio, Jill P. Mesirov, Eric S. Lander, Sridhar Ramaswamy, Sayan Mukherjee, Michael Reich, Ryan Rifkin and Todd R. Golub. Their work appears in journals such as American Journal of Transplantation, Transplant International, Frontiers in Immunology, Clinical Kidney Journal and Molecular Oncology.
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.