Kathleen Marchal
- Endocrinology top 1%
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks 47
- Gene expression and cancer classification 45
- Genomics and Phylogenetic Studies 32
- Genomics and Chromatin Dynamics 29
- Gene Regulatory Network Analysis 23
- Molecular Medicine top 1%
- Food Science top 0.5%
- Salmonella and Campylobacter epidemiology 21
- Plant Science top 1%
-
- Bacteriophages and microbial interactions 26
-
- Bacterial Genetics and Biotechnology 21
- Co-authors
- Yves Van de PeerEshchar MizrachiJos VanderleydenKristof EngelenRiet De SmetSigrid C. J. De KeersmaeckerBart De MoorYves Moreau
- 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
- Endocrinology 503
- Molecular Biology 5.6k
- Molecular Medicine 361
- Food Science 1.1k
- Plant Science 2.1k
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
The 25 scholars most cited alongside Kathleen Marchal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 0 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 24 | |
| 13 | 2020 | 15 | |
| 14 | 2013 | 22 | |
| 15 | 2013 | 28 | |
| 16 | 2009 | 64 | |
| 17 | 2009 | 26 | |
| 18 | 2003 | 133 | |
| 19 | 2000 | 16 | |
| 20 | Detection of cis-acting regulatory elements in plants : a GIBBS sampling approach | 2000 | 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), Genomics and Phylogenetic Studies (32 papers), Genomics and Chromatin Dynamics (29 papers), Bacteriophages and microbial interactions (26 papers), Gene Regulatory Network Analysis (23 papers), Salmonella and Campylobacter epidemiology (21 papers) and Bacterial Genetics and Biotechnology (21 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 Bioinformatics, PLoS ONE, Frontiers in Microbiology, Nucleic Acids Research and BMC 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.