Éva Latulippe

3.5k citations
21 papers · 2.5k indexed · 1 hit paper · h-index 11

Éva Latulippe

20 papers receiving 2.4k citations

Hit Papers

Multiclass cancer diagnosis using tumor gene expression s...1.5k20012026200920174008001.2k

Peers

Éva Latulippe
Comparison fields: 5 of 122
  • Cancer Research 553
  • Transplantation 78
  • Molecular Biology 1.7k
  • Pulmonary and Respiratory Medicine 618
  • Oncology 380
Replace Michael J. Becich with:
Michael J. Becich United States
Julie Klein France
Xiaoyan Zhou China
Vito Riccardo Tomaso Zanotelli Switzerland
Seiichi Ishida Japan
Heng Li China
Yasin Şenbabaoğlu United States
Andrew Strahs United States
Clare Verrill United Kingdom
Nobuaki Ishii Japan
Éva Latulippe relative to Michael J. Becich United States Michael J. Becich's profile →
Citations per field
00.5×2.9×
Michael J. Becich · 1×
Citations per year

Countries citing papers authored by Éva Latulippe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Éva Latulippe Line = papers co-authored together Éva Latulippe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20238
4 20237
5 201810
6 20185
7 201815
8 201718
9 20176
10 201641
11 20166
12 201524
13 20106
14 200917
15 20084
16 2004423
17 200416
18 200325
19
Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease.
2002416
20
Multiclass cancer diagnosis using tumor gene expression signaturesbreakdown →
20011458

About Éva Latulippe

Éva Latulippe is a scholar working on Transplantation, Nephrology, Immunology, Cancer Research and Hepatology, 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), Immune Cell Function and Interaction (3 papers), Complement system in diseases (3 papers), Transplantation: Methods and Outcomes (3 papers), T-cell and B-cell Immunology (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, Eric S. Lander, Jill P. Mesirov, Massimo Loda, Sridhar Ramaswamy, Michael Reich, Sayan Mukherjee, Pablo Tamayo, Ryan Rifkin and Todd R. Golub. Their work appears in journals such as American Journal of Transplantation, Frontiers in Immunology, Transplant International, 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.

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