Laetitia Lacroix
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 1%
- Molecular Biology top 5%
- Immunology top 2%
- Cancer Research top 2%
- Co-authors
- Catherine Sautès‐FridmanWolf H. FridmanNicolás A. GiraldoÉtienne BechtBénédicte ButtardAurélien de ReynièsJanick SèlvesPierre Laurent‐Puig
- Topics
- Cancer Immunotherapy and Biomarkers (10 papers)Cancer Genomics and Diagnostics (3 papers)Single-cell and spatial transcriptomics (2 papers)
- Cited by
- Cancer ResearchOncologyImmunology
In The Last Decade
Laetitia Lacroix
14 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Oncology 1.9k
- Pulmonary and Respiratory Medicine 1.5k
- Molecular Biology 1.3k
- Immunology 1.1k
- Cancer Research 1.0k
Countries citing papers authored by Laetitia Lacroix
This map shows the geographic impact of Laetitia Lacroix'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 Laetitia Lacroix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laetitia Lacroix more than expected).
Fields of papers citing papers by Laetitia Lacroix
This network shows the impact of papers produced by Laetitia Lacroix. 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 Laetitia Lacroix. The network helps show where Laetitia Lacroix may publish in the future.
Co-authorship network of co-authors of Laetitia Lacroix
This figure shows the co-authorship network connecting the top 25 collaborators of Laetitia Lacroix. A scholar is included among the top collaborators of Laetitia Lacroix 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 Laetitia Lacroix. Laetitia Lacroix 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 | 1 | |
| 3 | 4 | |
| 4 | 76 | |
| 5 | 27 | |
| 6 | 1 | |
| 7 | 39 | |
| 8 | 76 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 263 | |
| 12 | Immune and Stromal Classification of Colorectal Cancer Is Associated with Molecular Subtypes and Relevant for Precision Immunotherapybreakdown → | 397 |
| 13 | Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expressionbreakdown → | 2205 |
| 14 | Orchestration and Prognostic Significance of Immune Checkpoints in the Microenvironment of Primary and Metastatic Renal Cell Cancerbreakdown → | 356 |
About Laetitia Lacroix
Laetitia Lacroix is a scholar working on Oncology, Immunology and Cancer Research, having authored 14 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Cancer Genomics and Diagnostics (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (1.0k citations), Oncology (1.9k citations) and Immunology (1.1k citations). Laetitia Lacroix has collaborated with scholars based in France, Italy and Austria. Frequent co-authors include Catherine Sautès‐Fridman, Wolf H. Fridman, Nicolás A. Giraldo, Étienne Becht, Bénédicte Buttard, Aurélien de Reyniès, Janick Sèlves, Pierre Laurent‐Puig, Florent Petitprez and Nabila Elarouci. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.
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.