Kathleen Marchal
- Molecular Biology top 1%
- Plant Science top 1%
- Genetics top 1%
- Food Science top 0.5%
- Ecology top 2%
- Co-authors
- Yves Van de PeerEshchar MizrachiJos VanderleydenKristof EngelenRiet De SmetSigrid C. J. De KeersmaeckerBart De MoorYves Moreau
- Topics
- Bioinformatics and Genomic Networks (47 papers)Gene expression and cancer classification (45 papers)Genomics and Phylogenetic Studies (32 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- BelgiumSouth AfricaUnited States
In The Last Decade
Kathleen Marchal
210 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Molecular Biology 5.6k
- Plant Science 2.1k
- Genetics 1.5k
- Food Science 1.1k
- Ecology 697
Countries citing papers authored by Kathleen Marchal
This map shows the geographic impact of Kathleen Marchal'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 Kathleen Marchal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathleen Marchal more than expected).
Fields of papers citing papers by Kathleen Marchal
This network shows the impact of papers produced by Kathleen Marchal. 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 Kathleen Marchal. The network helps show where Kathleen Marchal may publish in the future.
Co-authorship network of co-authors of Kathleen Marchal
This figure shows the co-authorship network connecting the top 25 collaborators of Kathleen Marchal. A scholar is included among the top collaborators of Kathleen Marchal 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 Kathleen Marchal. Kathleen Marchal 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 | 8 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 24 | |
| 13 | 15 | |
| 14 | 22 | |
| 15 | 28 | |
| 16 | 64 | |
| 17 | 26 | |
| 18 | 133 | |
| 19 | 16 | |
| 20 | Detection of cis-acting regulatory elements in plants : a GIBBS sampling approach | 4 |
About Kathleen Marchal
Kathleen Marchal is a scholar working on Endocrinology, Molecular Medicine and Molecular Biology, having authored 215 papers that have together received 8.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (47 papers), Gene expression and cancer classification (45 papers) and Genomics and Phylogenetic Studies (32 papers). The work is most often cited by research in Endocrinology (503 citations), Molecular Biology (5.6k citations) and Molecular Medicine (361 citations). Kathleen Marchal has collaborated with scholars based in Belgium, South Africa and United States. Frequent co-authors include Yves Van de Peer, Eshchar Mizrachi, Jos Vanderleyden, Kristof Engelen, Riet De Smet, Sigrid C. J. De Keersmaecker, Bart De Moor, Yves Moreau, Gert Thijs and Magali Lescot. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.