Alexandre Irrthum
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Genetics top 5%
- Surgery top 10%
- Co-authors
- Pierre GeurtsLouis WehenkelVân Anh Huynh‐ThuMiikka VikkulaMartine PiccartDimitrios ZardavasCharles SwantonKoenraad Devriendt
- Topics
- Cancer Genomics and Diagnostics (5 papers)Bioinformatics and Genomic Networks (4 papers)Lymphatic System and Diseases (3 papers)
- Partner nations
- BelgiumUnited StatesSpain
In The Last Decade
Alexandre Irrthum
22 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 2.2k
- Oncology 939
- Cancer Research 514
- Genetics 475
- Surgery 468
Countries citing papers authored by Alexandre Irrthum
This map shows the geographic impact of Alexandre Irrthum'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 Alexandre Irrthum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Irrthum more than expected).
Fields of papers citing papers by Alexandre Irrthum
This network shows the impact of papers produced by Alexandre Irrthum. 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 Alexandre Irrthum. The network helps show where Alexandre Irrthum may publish in the future.
Co-authorship network of co-authors of Alexandre Irrthum
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Irrthum. A scholar is included among the top collaborators of Alexandre Irrthum 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 Alexandre Irrthum. Alexandre Irrthum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | Clinical management of breast cancer heterogeneitybreakdown → | 426 |
| 5 | 67 | |
| 6 | 65 | |
| 7 | 65 | |
| 8 | Inferring gene regulatory networks from expression data using tree-based methods | 3 |
| 9 | 122 | |
| 10 | Regulatory network inference with GENIE3: application to the DREAM5 challenge | 2 |
| 11 | Inferring Regulatory Networks from Expression Data Using Tree-Based Methodsbreakdown → | 1257 |
| 12 | 164 | |
| 13 | 111 | |
| 14 | Predicting gene essentiality from expression patterns in Escherichia coli | 1 |
| 15 | 221 | |
| 16 | 444 | |
| 17 | 292 | |
| 18 | 21 | |
| 19 | 299 | |
| 20 | 115 |
About Alexandre Irrthum
Alexandre Irrthum is a scholar working on Cancer Research, Oncology and Cell Biology, having authored 22 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Bioinformatics and Genomic Networks (4 papers) and Lymphatic System and Diseases (3 papers). The work is most often cited by research in Oncology (939 citations), Cancer Research (514 citations) and Molecular Biology (2.2k citations). Alexandre Irrthum has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Pierre Geurts, Louis Wehenkel, Vân Anh Huynh‐Thu, Miikka Vikkula, Martine Piccart, Dimitrios Zardavas, Charles Swanton, Koenraad Devriendt, Kari Alitalo and Marika J. Karkkainen. Their work appears in journals such as Nature Genetics, Journal of Clinical Oncology and PLoS ONE.
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.