Robrecht Cannoodt
- Molecular Biology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Biophysics top 1%
- Oncology top 10%
- Co-authors
- Yvan SaeysWouter SaelensHelena TodorovRuth SeurinckSara AibarStein AertsMaxime De WaegeneerJoke Reumers
- Topics
- Single-cell and spatial transcriptomics (10 papers)Gene Regulatory Network Analysis (6 papers)Bioinformatics and Genomic Networks (5 papers)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Robrecht Cannoodt
17 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.9k
- Immunology 561
- Cancer Research 403
- Biophysics 326
- Oncology 237
Countries citing papers authored by Robrecht Cannoodt
This map shows the geographic impact of Robrecht Cannoodt'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 Robrecht Cannoodt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robrecht Cannoodt more than expected).
Fields of papers citing papers by Robrecht Cannoodt
This network shows the impact of papers produced by Robrecht Cannoodt. 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 Robrecht Cannoodt. The network helps show where Robrecht Cannoodt may publish in the future.
Co-authorship network of co-authors of Robrecht Cannoodt
This figure shows the co-authorship network connecting the top 25 collaborators of Robrecht Cannoodt. A scholar is included among the top collaborators of Robrecht Cannoodt 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 Robrecht Cannoodt. Robrecht Cannoodt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 28 | |
| 6 | 63 | |
| 7 | Fit a Principal Curve in Arbitrary Dimension [R package princurve version 2.1.6] | 1 |
| 8 | A scalable SCENIC workflow for single-cell gene regulatory network analysisbreakdown → | 723 |
| 9 | Trajectory-based differential expression analysis for single-cell sequencing databreakdown → | 352 |
| 10 | 16 | |
| 11 | Dimensionality Reduction Methods in a Common Format [R package dyndimred version 1.0.3] | 1 |
| 12 | A comparison of single-cell trajectory inference methodsbreakdown → | 922 |
| 13 | Gillespie's Stochastic Simulation Algorithm (SSA) [R package GillespieSSA version 0.6.1] | 1 |
| 14 | 171 | |
| 15 | 2 | |
| 16 | 17 | |
| 17 | 2 | |
| 18 | 28 | |
| 19 | 123 | |
| 20 | Network inference by integrating biclustering and feature selection | 1 |
About Robrecht Cannoodt
Robrecht Cannoodt is a scholar working on Biophysics, Molecular Biology and Information Systems and Management, having authored 20 papers that have together received 2.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Gene Regulatory Network Analysis (6 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Biophysics (326 citations), Molecular Biology (1.9k citations) and Cancer Research (403 citations). Robrecht Cannoodt has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Yvan Saeys, Wouter Saelens, Helena Todorov, Ruth Seurinck, Sara Aibar, Stein Aerts, Maxime De Waegeneer, Joke Reumers, Kristofer Davie and Gert Hulselmans. Their work appears in journals such as Nature Communications, Nature Biotechnology and Bioinformatics.
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.